Tootfinder

World breaks renewable records - adding 582 GW of capacity in 2024 - but must move faster to hit the agreed 2030 tripling goal.
From @irena-official.bsky.social:
https://www.irena.org/News/pressreleases/2

World Breaks Renewable Records but Must Move Faster to Hit 2030 Tripling Goal
The world is falling behind on its renewable energy and efficiency goals despite record progress last year, confirms a new report released today by the International Renewable Energy Agency (IRENA), the COP30 Brazilian Presidency, and the Global Renewables Alliance (GRA) during a pre-COP30 high-level event in Brasília.

psi: Plant Photosystem I excitation energy transfer network (2020)
Weighted directed network of the light-harvesting Photosystem Ι (PSI) of the plant Pisum sativum. The nodes represent chromophores with different identities (i.e. chlorophyll a, chlorophyll b, β-carotene and derivates, lutein, violaxanthin), while edges represent FRET transfer between chromophores. The link directionality connecting nodes in the PSI network depends on the energy levels of the connected chromophores. The…

China's biggest oil company just hit a major solar breakthrough.
CNPC developed a perovskite solar cell with 25.05% efficiency—impressive on its own, but here's the bigger story: they're planning to pair it with silicon cells to slash energy costs. Pilot production starts 2026, mass production 2028.
Their goal? Match their oil output with renewables by 2035.

China National Petroleum Corporation achieves 25.05% efficiency for inverted perovskite solar cell
The Chinese energy and oil company said the cell can be used as a top device in perovksite-silicon tandem configurations. The result was confirmed by the Shanghai Institute of Microsystem and Information Technology (SIMIT).

On Office Comfort and Energy Efficiency - Sweating or shivering 9 to 5 at work? Small business or home office? Get comfy, save money, cut carbon! #office #frugal #thermostatWars -

On Office Comfort and Energy Efficiency
Sweating or shivering 9 to 5 at work? Small business or home office? Get comfy, save money, cut carbon! #office #frugal #thermostatWars

A Non-Intrusive Framework for Deferred Integration of Cloud Patterns in Energy-Efficient Data-Sharing Pipelines
Sepideh Masoudi, Mark Edward Michael Daly, Jannis Kiesel, Stefan Tai
https://arxiv.org/abs/2510.12354

A Non-Intrusive Framework for Deferred Integration of Cloud Patterns in Energy-Efficient Data-Sharing Pipelines
As data mesh architectures gain traction in federated environments, organizations are increasingly building consumer-specific data-sharing pipelines using modular, cloud-native transformation services. Prior work has shown that structuring these pipelines with reusable transformation stages enhances both scalability and energy efficiency. However, integrating traditional cloud design patterns into such pipelines poses a challenge: predefining and embedding patterns can compromise modularity, re…

Optimising Communication Control Factors for Energy Consumption in Rural LOS V2X
Zhanle Zhao, Son Dinh-Van, Yuen Kwan Mo, Siddartha Khastgir, Matthew D. Higgins
https://arxiv.org/abs/2510.12539

Optimising Communication Control Factors for Energy Consumption in Rural LOS V2X
Connected braking can reduce fatal collisions in connected and autonomous vehicles (CAVs) by using reliable, low-latency 5G New Radio (NR) links, especially NR Sidelink Vehicle-to-Everything (V2X). In rural areas, road side units are sparse and power-constrained or off-grid, so energy efficiency must be considered alongside safety. This paper studies how three communication control factors including subcarrier spacing ($\mathrm{SCS}$), modulation and coding scheme ($\mathrm{MCS}$), and transmit…

Towards Automated and Predictive Network-Level Energy Profiling in Reconfigurable IoT Systems
Mohammud J. Bocus, Senhui Qiu, Robert J. Piechocki, Kerstin Eder
https://arxiv.org/abs/2510.09842

Towards Automated and Predictive Network-Level Energy Profiling in Reconfigurable IoT Systems
Energy efficiency has emerged as a defining constraint in the evolution of sustainable Internet of Things (IoT) networks. This work moves beyond simulation-based or device-centric studies to deliver measurement-driven, network-level smart energy analysis. The proposed system enables end-to-end visibility of energy flows across distributed IoT infrastructures, uniting Bluetooth Low Energy (BLE) and Visible Light Communication (VLC) modes with environmental sensing and E-ink display subsystems un…

LiteVPNet: A Lightweight Network for Video Encoding Control in Quality-Critical Applications
Vibhoothi Vibhoothi, Fran\c{c}ois Piti\'e, Anil Kokaram
https://arxiv.org/abs/2510.12379

LiteVPNet: A Lightweight Network for Video Encoding Control in Quality-Critical Applications
In the last decade, video workflows in the cinema production ecosystem have presented new use cases for video streaming technology. These new workflows, e.g. in On-set Virtual Production, present the challenge of requiring precise quality control and energy efficiency. Existing approaches to transcoding often fall short of these requirements, either due to a lack of quality control or computational overhead. To fill this gap, we present a lightweight neural network (LiteVPNet) for accurately pr…

On Office Comfort and Energy Efficiency - Sweating or shivering 9 to 5 at work? Small business or home office? Get comfy, save money, cut carbon! #office #frugal #thermostatWars -

On Office Comfort and Energy Efficiency
Sweating or shivering 9 to 5 at work? Small business or home office? Get comfy, save money, cut carbon! #office #frugal #thermostatWars

Crosslisted article(s) found for hep-ex. https://arxiv.org/list/hep-ex/new
[1/1]:
- Towards High-Efficiency Particle Detection Using Superconducting Microwire Arrays
Christina Wang, et al.

psi: Plant Photosystem I excitation energy transfer network (2020)
Weighted directed network of the light-harvesting Photosystem Ι (PSI) of the plant Pisum sativum. The nodes represent chromophores with different identities (i.e. chlorophyll a, chlorophyll b, β-carotene and derivates, lutein, violaxanthin), while edges represent FRET transfer between chromophores. The link directionality connecting nodes in the PSI network depends on the energy levels of the connected chromophores. The…

Monitoring of Fluid Transport in Low Temperature Water Electrolyzers and Fuel Cells: Emerging Technologies and Future Prospects
Zehua Dou, Laura Tropf, Tobias Lappan, Hannes Rox, Xuegeng Yang, Lars Buettner, David Weik, Harry Hoster, Kerstin Eckert, Juergen Czarske
https://arxiv.org/abs/2510.12542 …

Monitoring of Fluid Transport in Low Temperature Water Electrolyzers and Fuel Cells: Emerging Technologies and Future Prospects
Low temperature water electrolyzers (LTWEs) and low temperature hydrogen fuel cells (LTFCs) present a promising technological strategy for the productions and usages of green hydrogen energy towards a net-zero world. However, the interactions of gas/liquid (fluid) transport and the intrinsic reaction kinetics in LTWEs/LTFCs present one of the key hurdles hindering high production rate and high energy conversion efficiency. Addressing these limitations requires analytical tools that are capable …

We've updated the What Uses More app to reflect last week's finding by Luccioni and Gamazaychikov that "reasoning" mode increases energy and water usage by 30x. The study casts doubt on the improved efficiency AI companies are claiming for newer models
https://www.

High Throughput Optical Switching in Telecommunication Band via Hybrid Phase Change Metasurfaces
Amin Zamani, Gabriel Sanderson, Lu Zhang, Qiwei Miao, Sara Moujdi, Ze Zheng, Mohammadhossein Momtazpour, Christopher J. Mellor, Wending Zhang, Ting Mei, Zakaria Mansouri, Lei Xu, Mohsen Rahmani
https://arxiv.org/abs/2510.11881

High Throughput Optical Switching in Telecommunication Band via Hybrid Phase Change Metasurfaces
The growing demand for more efficient data transmission has made nanoscale high-throughput all-optical switching a critical requirement in modern telecommunication systems. Metasurface-based platforms offer unique advantages because of their compact design, energy efficiency, and the ability to precisely manipulate light at the subwavelength scale, in a contact-less fashion. However, achieving both high transmission modulation and low optical loss in the telecom band remains a challenge. This s…

A note on the Penrose process in rotating regular black holes
Anjan Kar, Ayan Dey, Sayan Kar
https://arxiv.org/abs/2510.11364 https://arxiv.org/pdf/2510.11…

A note on the Penrose process in rotating regular black holes
We investigate the Penrose process of energy extraction in the context of rotating regular black holes. For the Neves-Saa class of regular black hole solutions, which includes the Bardeen, Hayward and Fan-Wang spacetimes as special cases, the extraction efficiency is bounded above by the known value for Kerr spacetime. However, in the case of a new rotating regular black hole which does not have a Schwarzschild singular limit for zero rotation, the extraction efficiency can indeed become very l…

On Office Comfort and Energy Efficiency - Sweating or shivering 9 to 5 at work? Small business or home office? Get comfy, save money, cut carbon! #office #frugal #thermostatWars -

On Office Comfort and Energy Efficiency
Sweating or shivering 9 to 5 at work? Small business or home office? Get comfy, save money, cut carbon! #office #frugal #thermostatWars

"German startup installs industrial heat pump producing 139 C steam"
#Germany #HeatPumps #Energy

German startup installs industrial heat pump producing 139 C steam
German start-up SPH has installed its ThermBooster heat pump at Philip Morris International’s Italian factory, producing high-temperature steam at 139 C. The system boosts energy efficiency, cuts gas use by up to 50%, and recovers 20–30% of water from exhaust.

⛽ Yale Scientists Crack the Code on Turning Plastic Waste Into Fuel
https://oilprice.com/Energy/Energy-General/Yale-Scientists-Crack-the-Code-on-Turning-Plastic-Waste-Into-Fuel.html

Yale Scientists Crack the Code on Turning Plastic Waste Into Fuel
Yale scientists have developed a catalyst-free, energy-efficient pyrolysis reactor that converts plastic waste into usable fuel with unprecedented efficiency.

Trump announced on Wednesday that he is repealing the Biden-era federal fuel economy standards,
significantly weakening fuel efficiency requirements for tens of millions of new gasoline-powered cars and light trucks.
It marks the US president’s latest effort to dismantle pollution regulations and federal support for cleaner-running vehicles and renewable energy.
Burning gasoline is a significant contributor to global heating and transportation is the largest source of greenho…

ARENA: A tool for measuring and analysing the energy efficiency of Android apps
Hina Anwar
https://arxiv.org/abs/2510.01754 https://arxiv.org/pdf/2510.0175…

ARENA: A tool for measuring and analysing the energy efficiency of Android apps
To build energy-efficient apps, there is a need to estimate and analyze their energy consumption in typical usage scenarios. The energy consumption of Android apps could be estimated via software-based and hardware-based approaches. Software-based approaches, while easier to implement, are not as accurate as hardware-based approaches. The process of measuring the energy consumption of an Android app via a hardware-based approach typically involves 1) setting up a measurement environment, 2) exe…

Old is Gold: Optimizing Single-threaded Applications with Exgen-Malloc
Ruihao Li, Lizy K. John, Neeraja J. Yadwadkar
https://arxiv.org/abs/2510.10219 https://

Old is Gold: Optimizing Single-threaded Applications with Exgen-Malloc
Memory allocators hide beneath nearly every application stack, yet their performance footprint extends far beyond their code size. Even small inefficiencies in the allocators ripple through caches and the rest of the memory hierarchy, collectively imposing what operators often call a "datacenter tax". At hyperscale, even a 1% improvement in allocator efficiency can unlock millions of dollars in savings and measurable reductions in datacenter energy consumption. Modern memory allocators are desi…

Optimal monophasic, asymmetric electric field pulses for selective transcranial magnetic stimulation (TMS) with minimised power and coil heating
Ke Ma, Andrey Vlasov, Zeynep B. Simsek, Jinshui Zhang, Yiru Li, Boshuo Wang, David L. K. Murphy, Jessica Y. Choi, Maya E. Clinton, Noreen Bukhari-Parlakturk, Angel V. Peterchev, Stephan M. Goetz
https://

Optimal monophasic, asymmetric electric field pulses for selective transcranial magnetic stimulation (TMS) with minimised power and coil heating
Transcranial magnetic stimulation (TMS) with asymmetric electric field pulses, such as monophasic, offers directional selectivity for neural activation but requires excessive energy. Previous pulse shape optimisation has been limited to symmetric pulses or heavily constrained variations of conventional waveforms without achieving general optimality in energy efficiency or neural selectivity. We implemented an optimisation framework that incorporates neuron model activation constraints and flexi…

DL-PIM: Improving Data Locality in Processing-in-Memory Systems
Parker Hao Tian, Zahra Yousefijamarani, Alaa Alameldeen
https://arxiv.org/abs/2510.07719 https://

DL-PIM: Improving Data Locality in Processing-in-Memory Systems
PIM architectures aim to reduce data transfer costs between processors and memory by integrating processing units within memory layers. Prior PIM architectures have shown potential to improve energy efficiency and performance. However, such advantages rely on data proximity to the processing units performing computations. Data movement overheads can degrade PIM's performance and energy efficiency due to the need to move data between a processing unit and a distant memory location. %they face ch…

Hybrid MAC Protocol with Integrated Multi-Layered Security for Resource-Constrained UAV Swarm Communications
Dhrumil Bhatt, Siddharth Penumatsa, Vidushi Kumar
https://arxiv.org/abs/2510.10236

Hybrid MAC Protocol with Integrated Multi-Layered Security for Resource-Constrained UAV Swarm Communications
Flying Ad Hoc Networks (FANETs) present unique challenges due to high node mobility, dynamic topologies, and strict resource constraints. Existing routing protocols often optimize for a single metric, such as path length or energy, while neglecting the complex dependencies between network performance, security, and MAC layer efficiency. This paper introduces a novel hardware software co design framework for secure and adaptive UAV swarm communications, featuring an energy aware protocol stack. …

SpikingMamba: Towards Energy-Efficient Large Language Models via Knowledge Distillation from Mamba
Yulong Huang, Jianxiong Tang, Chao Wang, Ziyi Wang, Jianguo Zhang, Zhichao Lu, Bojun Cheng, Luziwei Leng
https://arxiv.org/abs/2510.04595

SpikingMamba: Towards Energy-Efficient Large Language Models via Knowledge Distillation from Mamba
Large Language Models (LLMs) have achieved remarkable performance across tasks but remain energy-intensive due to dense matrix operations. Spiking neural networks (SNNs) improve energy efficiency by replacing dense matrix multiplications with sparse accumulations. Their sparse spike activity enables efficient LLMs deployment on edge devices. However, prior SNN-based LLMs often sacrifice performance for efficiency, and recovering accuracy typically requires full pretraining, which is costly and …

Energy Use of AI Inference: Efficiency Pathways and Test-Time Compute
Felipe Oviedo, Fiodar Kazhamiaka, Esha Choukse, Allen Kim, Amy Luers, Melanie Nakagawa, Ricardo Bianchini, Juan M. Lavista Ferres
https://arxiv.org/abs/2509.20241

Energy Use of AI Inference: Efficiency Pathways and Test-Time Compute
As AI inference scales to billions of queries and emerging reasoning and agentic workflows increase token demand, reliable estimates of per-query energy use are increasingly important for capacity planning, emissions accounting, and efficiency prioritization. Many public estimates are inconsistent and overstate energy use, because they extrapolate from limited benchmarks and fail to reflect efficiency gains achievable at scale. In this perspective, we introduce a bottom-up methodology to estima…

Banking to Green - Becoming an Energy Efficiency Nerd (2017) - Learn how I got from Lehman Brothers investment banking IT to solar PV and storage bothering, 10 years in... #lifeStory #optimisation -

Banking to Green - Becoming an Energy Efficiency Nerd (2017)
Learn how I got from Lehman Brothers investment banking IT to solar PV and storage bothering, 10 years in... #lifeStory #optimisation

Luxembourg energy supplier Enovos provides a nice visual demonstration of the effect of time-of-use pricing:
Peak time consumption is reduced by 40%, while valley consumption increases by 60%, absorbing that abundant solar energy on the 🇱🇺-🇩🇪 grid.
https://www.e…

THEAS: Efficient Power Management in Multi-Core CPUs via Cache-Aware Resource Scheduling
Said Muhammad, Lahlou Laaziz, Nadjia Kara, Phat Tan Nguyen, Timothy Murphy
https://arxiv.org/abs/2510.09847

THEAS: Efficient Power Management in Multi-Core CPUs via Cache-Aware Resource Scheduling
The dynamic adaptation of resource levels enables the system to enhance energy efficiency while maintaining the necessary computational resources, particularly in scenarios where workloads fluctuate significantly over time. The proposed approach can play a crucial role in heterogeneous systems where workload characteristics are not uniformly distributed, such as non-pinning tasks. The deployed THEAS algorithm in this research work ensures a balance between performance and power consumption, mak…

psi: Plant Photosystem I excitation energy transfer network (2020)
Weighted directed network of the light-harvesting Photosystem Ι (PSI) of the plant Pisum sativum. The nodes represent chromophores with different identities (i.e. chlorophyll a, chlorophyll b, β-carotene and derivates, lutein, violaxanthin), while edges represent FRET transfer between chromophores. The link directionality connecting nodes in the PSI network depends on the energy levels of the connected chromophores. The…

Flexible Intelligent Metasurface for Reconfiguring Radio Environments
Hanwen Hu, Jiancheng An, Lu Gan, Naofal Al-Dhahir
https://arxiv.org/abs/2510.07466 https://

Flexible Intelligent Metasurface for Reconfiguring Radio Environments
Flexible intelligent metasurface (FIM) technology holds immense potential for increasing the spectral efficiency and energy efficiency of wireless networks. In contrast to traditional rigid reconfigurable intelligent surfaces (RIS), an FIM consists of an array of elements, each capable of independently tuning electromagnetic signals, while flexibly adjusting its position along the direction perpendicular to the surface. In contrast to traditional rigid metasurfaces, FIM is capable of morphing i…

Benchmarking Deep Learning Convolutions on Energy-constrained CPUs
Enrique Galvez (ALSOC), Adrien Cassagne (ALSOC), Alix Munier (ALSOC), Manuel Bouyer
https://arxiv.org/abs/2509.26217

Benchmarking Deep Learning Convolutions on Energy-constrained CPUs
This work evaluates state-of-the-art convolution algorithms for CPU-based deep learning inference. While most prior studies focus on GPUs or NPUs, CPU implementations remain relatively underoptimized. We benchmark direct, GEMM-based, and Winograd convolutions across modern CPUs from ARM __ , Intel __ , AMD __ , Apple __ , and Nvidia __ , considering both latency and energy efficiency. Our results highlight the key architectural factors that govern CPU efficiency for convolution operations, prov…

The #KeepassXC discussion about GenAI coding tool use seems a bit too simplistic at the moment.
There is room for nuance:
1. Yes, LLM based code generators consume insane amounts of electricity and generate collateral environment damage. That's bad, and we should talk much more about energy efficiency and reasonable use of resources.
2. Yes, LLMs generate a lot of bad o…

Low-energy single-electron detector with sub-micron resolution
Luis Alfredo Ixquiac M\'endez, Martino Zanetti, Tilman Kraeft, Thomas Juffmann
https://arxiv.org/abs/2510.04743

Low-energy single-electron detector with sub-micron resolution
Single-electron detectors are a key component of electron microscopes and advanced electron optics experiments. We present a YAG:Ce scintillator-based single-electron detector with a spatial resolution of 1 micrometer at an electron energy of 17 keV. Single-electron detection events are identified with an efficiency and purity larger than 0.8 at an electron energy of 17 keV, reaching 0.96 at 30 keV. We show that the detector enables electron diffraction studies with a sample-detector distance c…

Unsupervised Backdoor Detection and Mitigation for Spiking Neural Networks
Jiachen Li, Bang Wu, Xiaoyu Xia, Xiaoning Liu, Xun Yi, Xiuzhen Zhang
https://arxiv.org/abs/2510.06629 …

Unsupervised Backdoor Detection and Mitigation for Spiking Neural Networks
Spiking Neural Networks (SNNs) have gained increasing attention for their superior energy efficiency compared to Artificial Neural Networks (ANNs). However, their security aspects, particularly under backdoor attacks, have received limited attention. Existing defense methods developed for ANNs perform poorly or can be easily bypassed in SNNs due to their event-driven and temporal dependencies. This paper identifies the key blockers that hinder traditional backdoor defenses in SNNs and proposes …

On Office Comfort and Energy Efficiency - Sweating or shivering 9 to 5 at work? Small business or home office? Get comfy, save money, cut carbon! #office #frugal #thermostatWars -

On Office Comfort and Energy Efficiency
Sweating or shivering 9 to 5 at work? Small business or home office? Get comfy, save money, cut carbon! #office #frugal #thermostatWars

QONNECT: A QoS-Aware Orchestration System for Distributed Kubernetes Clusters
Haci Ismail Aslan, Syed Muhammad Mahmudul Haque, Joel Witzke, Odej Kao
https://arxiv.org/abs/2510.09851

QONNECT: A QoS-Aware Orchestration System for Distributed Kubernetes Clusters
Modern applications increasingly span across cloud, fog, and edge environments, demanding orchestration systems that can adapt to diverse deployment contexts while meeting Quality-of-Service (QoS) requirements. Standard Kubernetes schedulers do not account for user-defined objectives such as energy efficiency, cost optimization, and global performance, often leaving operators to make manual, cluster-by-cluster placement decisions. To address this need, we present QONNECT, a vendor-agnostic orch…

Cooling Under Convexity: An Inventory Control Perspective on Industrial Refrigeration
Vade Shah, Yohan John, Ethan Freifeld, Lily Y. Chen, Jason R. Marden
https://arxiv.org/abs/2510.03448

Cooling Under Convexity: An Inventory Control Perspective on Industrial Refrigeration
Industrial refrigeration systems have substantial energy needs, but optimizing their operation remains challenging due to the tension between minimizing energy costs and meeting strict cooling requirements. Load shifting--strategic overcooling in anticipation of future demands--offers substantial efficiency gains. This work seeks to rigorously quantify these potential savings through the derivation of optimal load shifting policies. Our first contribution establishes a novel connection between …

Advances in Radiative Capture Studies at LUNA with a Segmented BGO Detector
Jakub Skowronski, Riccardo Maria Gesu\`e, Axel Boeltzig, Giovanni Francesco Ciani, Denise Piatti, David Rapagnani, Marialuisa Aliotta, Chemsedinne Ananna, Francesco Barile, Daniel Bemmerer, Andreas Best, Carlo Broggini, Carlo Giovanni Bruno, Antonio Caciolli, Matteo Campostrini, Francesca Cavanna, Paolo Colombetti, Alessandro Compagnucci, Piero Corvisiero, Laszlo Csedreki, Tom Davinson, Rosanna Depalo, Antonino…

Advances in Radiative Capture Studies at LUNA with a Segmented BGO Detector
Studies of charged-particle reactions for low-energy nuclear astrophysics require high sensitivity, which can be achieved by means of detection setups with high efficiency and low backgrounds, to obtain precise measurements in the energy region of interest for stellar scenarios. High-efficiency total absorption spectroscopy is an established and powerful tool for studying radiative capture reactions, particularly if combined with the cosmic background reduction by several orders of magnitude ob…

Cooperative Flexibility Exchange: Fair and Comfort-Aware Decentralized Resource Allocation
Rabiya Khalid, Evangelos Pournaras
https://arxiv.org/abs/2510.04192 https://

Cooperative Flexibility Exchange: Fair and Comfort-Aware Decentralized Resource Allocation
The growing electricity demand and increased use of smart appliances are placing new pressures on power grids, making efficient energy management more important than ever. The existing energy management systems often prioritize system efficiency (balanced energy demand and supply) at the expense of user comfort. This paper addresses this gap by proposing a novel decentralized multi-agent coordination-based demand-side management system. The proposed system enables individual agents to coordinat…

🚀 AI's Energy Crisis?
#AI is exploding, but scaling compute with more data & power is too slow and costly—data centers are building nuclear plants! We need smarter ways to turn energy into intelligence.
🧠 Nature-Inspired Innovation At #Extropic rethinks hardware: Probabilistic computers using thermodynamic principles for massive efficiency. Core: "Pits" (probabilistic bits) that flicker between states for sampling probabilities.
🧵 👇

Anybody happen to know the effective thermal power of a standard gasoline pump?
Like, X gallons per minute * Y joules per gallon of gas = Z kW of potential energy delivered to the vehicle
(this would then have to be scaled by motor efficiency to be a realistic comparison to EVs/EV chargers in terms of, e.g. miles of range delivered per minute of fueling/charging)

Efficient heat-energy conversion from a non-thermal Tomonaga-Luttinger liquid
Hikaru Yamazaki, Masashi Uemura, Haruhi Tanaka, Tokuro Hata, Chaojing Lin, Takafumi Akiho, Koji Muraki, Toshimasa Fujisawa
https://arxiv.org/abs/2509.26387

Efficient heat-energy conversion from a non-thermal Tomonaga-Luttinger liquid
Energy harvesting is a technique that generates useful work from waste heat. Conventional energy harvesters acting on local thermal equilibrium states are constrained by thermodynamic limits, such as the Carnot efficiency. Quantum heat engines with non-thermal reservoirs are expected to exceed such limits. Here, we demonstrate energy harvesting from a nonthermal Tomonaga-Luttinger (TL) liquid in quantum Hall edge channels, where the non-thermal state is naturally formed due to the absence of th…

The Enduring Dominance of Deep Neural Networks: A Critical Analysis of the Fundamental Limitations of Quantum Machine Learning and Spiking Neural Networks
Takehiro Ishikawa
https://arxiv.org/abs/2510.08591

The Enduring Dominance of Deep Neural Networks: A Critical Analysis of the Fundamental Limitations of Quantum Machine Learning and Spiking Neural Networks
Recent advancements in QML and SNNs have generated considerable excitement, promising exponential speedups and brain-like energy efficiency to revolutionize AI. However, this paper argues that they are unlikely to displace DNNs in the near term. QML struggles with adapting backpropagation due to unitary constraints, measurement-induced state collapse, barren plateaus, and high measurement overheads, exacerbated by the limitations of current noisy intermediate-scale quantum hardware, overfitting…

psi: Plant Photosystem I excitation energy transfer network (2020)
Weighted directed network of the light-harvesting Photosystem Ι (PSI) of the plant Pisum sativum. The nodes represent chromophores with different identities (i.e. chlorophyll a, chlorophyll b, β-carotene and derivates, lutein, violaxanthin), while edges represent FRET transfer between chromophores. The link directionality connecting nodes in the PSI network depends on the energy levels of the connected chromophores. The…

Energy-Efficient Movable Antennas: Mechanical Power Modeling and Performance Optimization
Xin Wei, Weidong Mei, Xuan Huang, Zhi Chen, Boyu Ning
https://arxiv.org/abs/2509.24433 …

Energy-Efficient Movable Antennas: Mechanical Power Modeling and Performance Optimization
Movable antennas (MAs) offer additional spatial degrees of freedom (DoFs) to enhance communication performance through local antenna movement. However, to achieve accurate and fast antenna movement, MA drivers entail non-negligible mechanical power consumption, rendering energy efficiency (EE) optimization more critical compared to conventional fixed-position antenna (FPA) systems. To address this issue, we develop a fundamental power consumption model for stepper motor-driven multi-MA systems …

Energy Efficiency in Cloud-Based Big Data Processing for Earth Observation: Gap Analysis and Future Directions
Adhitya Bhawiyuga, Serkan Girgin, Rolf A. de By, Raul Zurita-Milla
https://arxiv.org/abs/2510.02882

Energy Efficiency in Cloud-Based Big Data Processing for Earth Observation: Gap Analysis and Future Directions
Earth observation (EO) data volumes are rapidly increasing. While cloud computing are now used for processing large EO datasets, the energy efficiency aspects of such a processing have received much less attention. This issue is notable given the increasing awareness of energy costs and carbon footprint in big data processing, particularly with increased attention on compute-intensive foundation models. In this paper we identify gaps in energy efficiency practices within cloud-based EO big data…

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/2]:
- Understanding User Perception and Intention to Use Smart Homes for Energy Efficiency: A Survey
Alona Zharova, Hee-Eun Lee

Excitonic Energy Transfer in Red Algal Photosystem I Reveals an Evolutionary Bridge between Cyanobacteria and Plants
Mengyuan Cui, Zihui Liu, Miriam Izzo, Junhua Zhou, Enhu He, Vandana Tiwari, Petar H. Lambrev, R. J. Dwayne Miller, Joanna Kargu, Fulu Zheng, Ajay Jha, Hong-GuangDuan
https://arxiv.org/abs/2509.24271

Excitonic Energy Transfer in Red Algal Photosystem I Reveals an Evolutionary Bridge between Cyanobacteria and Plants
Photosystem I converts light into chemical energy with near-unity quantum efficiency,yet its energy-transfer and charge-separation mechanisms remain debated. Evolution has diversified PSI architectures. The unicellular red algae Cyanidioschyzon merolae represents a key evolutionary intermediate,featuring a cyanobacterial-like monomeric core surrounded by three to five LHCR subunits. This hybrid organization provides a unique system to bridge mechanistic models across lineages. We applied two-di…

One-DoF Robotic Design of Overconstrained Limbs with Energy-Efficient, Self-Collision-Free Motion
Yuping Gu, Bangchao Huang, Haoran Sun, Ronghan Xu, Jiayi Yin, Wei Zhang, Fang Wan, Jia Pan, Chaoyang Song
https://arxiv.org/abs/2509.22002

One-DoF Robotic Design of Overconstrained Limbs with Energy-Efficient, Self-Collision-Free Motion
While it is expected to build robotic limbs with multiple degrees of freedom (DoF) inspired by nature, a single DoF design remains fundamental, providing benefits that include, but are not limited to, simplicity, robustness, cost-effectiveness, and efficiency. Mechanisms, especially those with multiple links and revolute joints connected in closed loops, play an enabling factor in introducing motion diversity for 1-DoF systems, which are usually constrained by self-collision during a full-cycle…

The most frequent argument in support of Safari is its energy efficiency.
Are there any actual benchmarks?

Runtime Energy Monitoring for RISC-V Soft-Cores
Alberto Scionti, Paolo Savio, Francesco Lubrano, Olivier Terzo, Marco Ferretti, Florin Apopei, Juri Bellucci, Ennio Spano, Luca Carriere
https://arxiv.org/abs/2509.26065

Runtime Energy Monitoring for RISC-V Soft-Cores
Energy efficiency is one of the major concern in designing advanced computing infrastructures. From single nodes to large-scale systems (data centers), monitoring the energy consumption of the computing system when applications run is a critical task. Designers and application developers often rely on software tools and detailed architectural models to extract meaningful information and determine the system energy consumption. However, when a design space exploration is required, designers may …

Longi just hit a major breakthrough in flexible solar tech: 33.35% efficiency for a perovskite-silicon tandem cell.
That's certified by NREL and represents a huge leap forward. The cell uses a clever dual-buffer layer design for better durability—it kept over 97% efficiency after bending and heat stress tests.
This could unlock solar panels that bend and flex for new applications.

Longi achieves 33.35% efficiency for flexible perovskite-silicon tandem solar cell
The Chinese manufacturer said the tandem device was developed through a dual-buffer layer strategy that improves interfacial adhesion while preserving efficient charge extraction. The efficiency result was certified by the US Department of Energy's National Renewable Energy Laboratory (NREL)

The Constant Speed Schedule for Adiabatic State Preparation: Towards Quadratic Speedup without Prior Spectral Knowledge
Mancheon Han, Hyowon Park, Sangkook Choi
https://arxiv.org/abs/2510.01923

The Constant Speed Schedule for Adiabatic State Preparation: Towards Quadratic Speedup without Prior Spectral Knowledge
The efficiency of adiabatic quantum evolution is governed by the adiabatic evolution time, \(T\), which depends on the minimum energy gap, \(Δ\). For a generic schedule, \(T\) typically scales as \(Δ^{-2}\), whereas the rigorous lower bound is \(\mathcal{O}(Δ^{-1})\). This indicates the potential for a quadratic speedup through the adiabatic schedule construction. Here, we introduce the constant speed schedule, which traverses the adiabatic path of the eigenstate at a uniform rate. We first …

An active Transverse Energy Filter based on microstructured Si-PIN diodes with an angular-selective detection efficiency
S. Schneidewind, K. Gauda, K. Bl\"umer, D. Bonaventura, C. G\"onner, V. Hannen, H. -W. Ortjohann, W. Pernice, L. P\"ollitsch, R. W. J. Salomon, M. Stappers, S. Wein, C. Weinheimer
https://arxiv.org/abs/251…

An active Transverse Energy Filter based on microstructured Si-PIN diodes with an angular-selective detection efficiency
Si-PIN detectors can be microstructured to achieve angular-selective particle detection capabilities, which we call active Transverse Energy Filter (aTEF). The microstructuring consists of a honeycomb structure of deep hexagonally-shaped holes with active silicon side walls, while the bottom of the holes is made insensitive to ionizing radiation. The motivation for this kind of detector arises from the need to distinguish background electrons from signal electrons in a spectrometer of MAC-E fil…

Teaching students from both fields, linguistics and engineering—separately, no shared courses—I witness two kinds of growing resistance towards the use of #GenAI:
- low quality output needs too much effort to fix manually
- low quality output is not worth the high amounts of energy it costs
Future linguists argue with efficiency, future engineers with resources. Ethics comes muc…

The Role of Spiral Arms in Galaxies II: Similarities Amid Diversity
Bingqing Sun, Daniela Calzetti, Andrew J. Battisti
https://arxiv.org/abs/2510.04328 https://

The Role of Spiral Arms in Galaxies II: Similarities Amid Diversity
The role of spiral arms in galaxies -- whether they enhance star formation efficiency or primarily act as material gatherers -- remains an open question. Observational studies have yielded ambiguous results, in part due to the choice of star formation rate (SFR) tracers and their inherent limitations. These limitations are addressed here by applying multi-wavelength spectral energy distribution (SED) fitting to individual arm and interarm regions. We expand on our previous study of two galaxies…

Interesting, battery integrated into a heat pump system, so that energy can be stored and shifted when needed. An integrated system instead of two separate ones may also offer advantages in terms of efficiency.
https://www.corporate.carrier.com/news/new

Carrier Powering the Future of Energy

Evaluating the Energy Efficiency of NPU-Accelerated Machine Learning Inference on Embedded Microcontrollers
Anastasios Fanariotis, Theofanis Orphanoudakis, Vasilis Fotopoulos
https://arxiv.org/abs/2509.17533

Evaluating the Energy Efficiency of NPU-Accelerated Machine Learning Inference on Embedded Microcontrollers
The deployment of machine learning (ML) models on microcontrollers (MCUs) is constrained by strict energy, latency, and memory requirements, particularly in battery-operated and real-time edge devices. While software-level optimizations such as quantization and pruning reduce model size and computation, hardware acceleration has emerged as a decisive enabler for efficient embedded inference. This paper evaluates the impact of Neural Processing Units (NPUs) on MCU-based ML execution, using the A…

Finite-Time Thermodynamics Perspective into Nuclear Power Plant Heat Cycle
Fang-Ming Cui, Hui Dong
https://arxiv.org/abs/2509.25714 https://arxiv.org/pdf/2…

Finite-Time Thermodynamics Perspective into Nuclear Power Plant Heat Cycle
Nuclear power plants are prominent examples of heat-to-work conversion systems, and optimizing their thermodynamic performance offers significant potential for enhancing energy efficiency. With a development history of less than a century, optimization trends in nuclear power plants indicate that classical thermodynamics alone may be insufficient, particularly when maximizing output power rather than efficiency becomes the primary focus. This paper re-examines nuclear power plant thermodynamic …

SpikeMatch: Semi-Supervised Learning with Temporal Dynamics of Spiking Neural Networks
Jini Yang, Beomseok Oh, Seungryong Kim, Sunok Kim
https://arxiv.org/abs/2509.22581 https:/…

SpikeMatch: Semi-Supervised Learning with Temporal Dynamics of Spiking Neural Networks
Spiking neural networks (SNNs) have recently been attracting significant attention for their biological plausibility and energy efficiency, but semi-supervised learning (SSL) methods for SNN-based models remain underexplored compared to those for artificial neural networks (ANNs). In this paper, we introduce SpikeMatch, the first SSL framework for SNNs that leverages the temporal dynamics through the leakage factor of SNNs for diverse pseudo-labeling within a co-training framework. By utilizing…

On the energy efficiency of sparse matrix computations on multi-GPU clusters
Massimo Bernaschi, Alessandro Celestini, Pasqua D'Ambra, Giorgio Richelli
https://arxiv.org/abs/2510.02878

On the energy efficiency of sparse matrix computations on multi-GPU clusters
We investigate the energy efficiency of a library designed for parallel computations with sparse matrices. The library leverages high-performance, energy-efficient Graphics Processing Unit (GPU) accelerators to enable large-scale scientific applications. Our primary development objective was to maximize parallel performance and scalability in solving sparse linear systems whose dimensions far exceed the memory capacity of a single node. To this end, we devised methods that expose a high degree …

Crosslisted article(s) found for cs.MS. https://arxiv.org/list/cs.MS/new
[1/1]:
- On the energy efficiency of sparse matrix computations on multi-GPU clusters
Massimo Bernaschi, Alessandro Celestini, Pasqua D'Ambra, Giorgio Richelli

Pretraining Large Language Models with NVFP4
NVIDIA, Felix Abecassis, Anjulie Agrusa, Dong Ahn, Jonah Alben, Stefania Alborghetti, Michael Andersch, Sivakumar Arayandi, Alexis Bjorlin, Aaron Blakeman, Evan Briones, Ian Buck, Bryan Catanzaro, Jinhang Choi, Mike Chrzanowski, Eric Chung, Victor Cui, Steve Dai, Bita Darvish Rouhani, Carlo del Mundo, Deena Donia, Burc Eryilmaz, Henry Estela, Abhinav Goel, Oleg Goncharov, Yugi Guvvala, Robert Hesse, Russell Hewett, Herbert Hum, Ujval Kapasi,…

Pretraining Large Language Models with NVFP4
Large Language Models (LLMs) today are powerful problem solvers across many domains, and they continue to get stronger as they scale in model size, training set size, and training set quality, as shown by extensive research and experimentation across the industry. Training a frontier model today requires on the order of tens to hundreds of yottaflops, which is a massive investment of time, compute, and energy. Improving pretraining efficiency is therefore essential to enable the next generation…

🌡️ Solar breakthrough—hotter panels mean better storage
#energy

Solar breakthrough—hotter panels mean better storage
Scientists have uncovered a surprising advantage in next-generation solar technology—the hotter it gets, the better it can store energy. Traditionally, heat has been seen as the enemy of solar power. Standard solar panels lose efficiency as temperatures rise.

Why and when merging surface nanobubbles jump
Yixin Zhang, Xiangyu Zhang, Detlef Lohse
https://arxiv.org/abs/2509.22934 https://arxiv.org/pdf/2509.22934

Why and when merging surface nanobubbles jump
Gas bubble accumulation on substrates reduces the efficiency of many physicochemical processes, such as water electrolysis. For microbubbles, where buoyancy is negligible, coalescence-induced jumping driven by the release of surface energy provides an efficient pathway for their early detachment. At the nanoscale, however, gas compressibility breaks volume conservation during coalescence, suppressing surface energy release and seemingly disabling this detachment route. Using molecular dynamics …

From high-frequency sensors to noon reports: Using transfer learning for shaft power prediction in maritime
Akriti Sharma, Dogan Altan, Dusica Marijan, Arnbj{\o}rn Maressa
https://arxiv.org/abs/2510.03003

From high-frequency sensors to noon reports: Using transfer learning for shaft power prediction in maritime
With the growth of global maritime transportation, energy optimization has become crucial for reducing costs and ensuring operational efficiency. Shaft power is the mechanical power transmitted from the engine to the shaft and directly impacts fuel consumption, making its accurate prediction a paramount step in optimizing vessel performance. Power consumption is highly correlated with ship parameters such as speed and shaft rotation per minute, as well as weather and sea conditions. Frequent ac…

An efficient grey theory-driven path selection for energy efficiency control in the Internet of Things using fog and cloud computing
Mohammad Reza Akbari, Hamid Barati, Ali Barati
https://arxiv.org/abs/2510.03533

An efficient grey theory-driven path selection for energy efficiency control in the Internet of Things using fog and cloud computing
Due to the big data exchange on the Internet of Things, proper routing and selecting the best routes for fast data transmission improve network performance. There are major challenges, like high delay, when cloud computing is used. Therefore, one solution is to use other schemes, such as fog computing. In fog computing, all data is not sent to the cloud and the fog nodes close to objects are used for data processing. This reduces the network delay. In this paper, we propose an overlapping clust…

psi: Plant Photosystem I excitation energy transfer network (2020)
Weighted directed network of the light-harvesting Photosystem Ι (PSI) of the plant Pisum sativum. The nodes represent chromophores with different identities (i.e. chlorophyll a, chlorophyll b, β-carotene and derivates, lutein, violaxanthin), while edges represent FRET transfer between chromophores. The link directionality connecting nodes in the PSI network depends on the energy levels of the connected chromophores. The…

Solar breakthrough: Chinese researchers just hit 30.1% efficiency with all-perovskite tandem cells using a novel dipolar passivation method.
The technique reduces defects and improves charge transport, while the cells retained 87% efficiency after 1,025 hours—a major step toward stable, sustainable solar energy.

All-perovskite tandem solar cell with dipolar passivation achieves 30.1% efficiency
Researchers in China have developed a dipolar passivation method that reduces defects and improves charge transport in solar cells based on narrow-bandgap tin lead perovskite. The approach has enabled the fabrication of all-perovskite tandem solar cells with efficiencies of around 30% and enhanced stability,

Agentic AI for Low-Altitude Semantic Wireless Networks: An Energy Efficient Design
Zhouxiang Zhao, Ran Yi, Yihan Cang, Boyang Jin, Zhaohui Yang, Mingzhe Chen, Chongwen Huang, Zhaoyang Zhang
https://arxiv.org/abs/2509.19791

Agentic AI for Low-Altitude Semantic Wireless Networks: An Energy Efficient Design
This letter addresses the energy efficiency issue in unmanned aerial vehicle (UAV)-assisted autonomous systems. We propose a framework for an agentic artificial intelligence (AI)-powered low-altitude semantic wireless network, that intelligently orchestrates a sense-communicate-decide-control workflow. A system-wide energy consumption minimization problem is formulated to enhance mission endurance. This problem holistically optimizes key operational variables, including UAV's location, semantic…

Towards Energy-Efficient Serverless Computing with Hardware Isolation
Natalie Carl, Tobias Pfandzelter, David Bermbach
https://arxiv.org/abs/2510.08180 https://

Towards Energy-Efficient Serverless Computing with Hardware Isolation
Serverless computing provides just-in-time infrastructure provisioning with rapid elasticity and a finely-grained pricing model. As full control of resource allocation is in the hands of the cloud provider and applications only consume resources when they actually perform work, we believe that serverless computing is uniquely positioned to maximize energy efficiency. However, the focus of current serverless platforms is to run hundreds or thousands of serverless functions from different tenan…

JaneEye: A 12-nm 2K-FPS 18.9-$\mu$J/Frame Event-based Eye Tracking Accelerator
Tao Han, Ang Li, Qinyu Chen, Chang Gao
https://arxiv.org/abs/2510.01213 https://

JaneEye: A 12-nm 2K-FPS 18.9-$μ$J/Frame Event-based Eye Tracking Accelerator
Eye tracking has become a key technology for gaze-based interactions in Extended Reality (XR). However, conventional frame-based eye-tracking systems often fall short of XR's stringent requirements for high accuracy, low latency, and energy efficiency. Event cameras present a compelling alternative, offering ultra-high temporal resolution and low power consumption. In this paper, we present JaneEye, an energy-efficient event-based eye-tracking hardware accelerator designed specifically for wear…

All-optical polarization control in time-varying low-index films via plasma symmetry breaking
Wallace Jaffray, Sven Stengel, Alexandra Boltasseva, Vladimir M. Shalaev, Maria Antonietta Vincenti, Domenico De Ceglia, Michael Scalora, Carlo Rizza, Marcello Ferrera
https://arxiv.org/abs/2510.06985

All-optical polarization control in time-varying low-index films via plasma symmetry breaking
Controlling the polarization state of light with sub-picosecond speed and subwavelength precision remains a key challenge for next-generation nanophotonic devices. Conventional methods such as birefringent crystals, liquid crystals, or electro-optic Pockels cells are limited in speed, compactness, and energy efficiency. While structured materials and two-dimensional heterostructures offer potential for on-chip ultrafast performance, achieving all-optical control remains an open problem. Here we…

Hybrid magnonic spintronic system for tunable broadband signal filtering and microwave generation
A. Koujok, A. Hamadeh, L. Martins, F. Kohl, B. Heinz, U. Ebels, P. Pirro
https://arxiv.org/abs/2510.04976

Hybrid magnonic spintronic system for tunable broadband signal filtering and microwave generation
Non-conventional beyond-the-state-of-the-art signal processing schemes require parallelism, scalability, robustness and energy efficiency to meet the demands of complex data-driven applications. With further research, magnonic and spintronic circuits can potentially help to fulfill these requirements. We present an experimental proof-of-concept of a hybrid device that can employ broad deteriorated microwave signals to excite and detect low energy propagating spin waves (SWs). For this, we use t…

psi: Plant Photosystem I excitation energy transfer network (2020)
Weighted directed network of the light-harvesting Photosystem Ι (PSI) of the plant Pisum sativum. The nodes represent chromophores with different identities (i.e. chlorophyll a, chlorophyll b, β-carotene and derivates, lutein, violaxanthin), while edges represent FRET transfer between chromophores. The link directionality connecting nodes in the PSI network depends on the energy levels of the connected chromophores. The…

JinkoSolar just shattered the world record for solar cell efficiency, hitting 27.79% with their n-type TOPCon technology—and they're targeting 28% by 2028.
Even more impressive: they achieved 33.84% efficiency with a perovskite-silicon tandem cell. These breakthroughs could be game-changing for renewable energy.

JinkoSolar achieves world record efficiency of 27.79% for TOPCon solar cell
The Chinese manufacturer says Germany’s Institute for Solar Energy Research Hamelin (ISFH) has independently verified the result.

Penrose Process Efficiency and Irreducible Mass in Rotating Einstein-Born-Infeld Black Holes with Nonlinear Electrodynamics
Urooj Fatima, G. Abbas
https://arxiv.org/abs/2509.19390

Penrose Process Efficiency and Irreducible Mass in Rotating Einstein-Born-Infeld Black Holes with Nonlinear Electrodynamics
We investigate the extraction of rotational energy from rotating Einstein-Born-Infeld (EBI) black holes, where nonlinear electrodynamics introduces a radius-dependent effective charge modifying the spacetime geometry. Focusing on neutral test particles in the equatorial plane, we derive analytic expressions for their kinematics and establish conditions for negative energy orbits essential to the Penrose process using the near-horizon limit and Wald inequality. We present a closed-form expressio…

Replaced article(s) found for cs.PL. https://arxiv.org/list/cs.PL/new
[1/1]:
- It's Not Easy Being Green: On the Energy Efficiency of Programming Languages
Nicolas van Kempen, Hyuk-Je Kwon, Dung Tuan Nguyen, Emery D. Berger

Dynamic Low Power Traffic Pattern for Energy Constrained Wireless Sensor Networks
Almamoon Alauthman
https://arxiv.org/abs/2510.00588 https://arxiv.org/pdf…

Dynamic Low Power Traffic Pattern for Energy Constrained Wireless Sensor Networks
Wireless Sensor Networks (WSNs) are extensively utilized in critical applications, including remote monitoring, target tracking, healthcare systems, industrial automation, and smart control in both residential and industrial settings. One of the primary challenges in these systems is maintaining energy efficiency, given that most sensor nodes rely on limited battery resources. To tackle this problem, this study introduces an energy-saving strategy designed for tree-structured networks with dyna…

Datacenter Energy Optimized Power Profiles
Sreedhar Narayanaswamy, Pratikkumar Dilipkumar Patel, Ian Karlin, Apoorv Gupta, Sudhir Saripalli, Janey Guo
https://arxiv.org/abs/2510.03872

Datacenter Energy Optimized Power Profiles
This paper presents datacenter power profiles, a new NVIDIA software feature released with Blackwell B200, aimed at improving energy efficiency and/or performance. The initial feature provides coarse-grain user control for HPC and AI workloads leveraging hardware and software innovations for intelligent power management and domain knowledge of HPC and AI workloads. The resulting workload-aware optimization recipes maximize computational throughput while operating within strict facility power co…

Suppressing Degradation in Quantum Batteries by Electromagnetically-induced Transparency
Jin-Tian Zhang, Cheng-Ge Liu, Qing Ai
https://arxiv.org/abs/2509.14707 https://

Suppressing Degradation in Quantum Batteries by Electromagnetically-induced Transparency
Quantum batteries (QBs), as emerging quantum devices for energy storage and transfer, have attracted significant attention due to their potential to surpass classical batteries in charging efficiency and energy density. However, interactions between a QB and its environment result in decoherence, which significantly reduces its operational lifespan. In this work, we propose suppressing the aging of QBs by introducing the electromagnetically-induced transparency (EIT). Specifically, we model a f…

Energy-convergence trade off for the training of neural networks on bio-inspired hardware
Nikhil Garg, Paul Uriarte Vicandi, Yanming Zhang, Alexandre Baigol, Donato Francesco Falcone, Saketh Ram Mamidala, Bert Jan Offrein, Laura B\'egon-Lours
https://arxiv.org/abs/2509.18121

Energy-convergence trade off for the training of neural networks on bio-inspired hardware
The increasing deployment of wearable sensors and implantable devices is shifting AI processing demands to the extreme edge, necessitating ultra-low power for continuous operation. Inspired by the brain, emerging memristive devices promise to accelerate neural network training by eliminating costly data transfers between compute and memory. Though, balancing performance and energy efficiency remains a challenge. We investigate ferroelectric synaptic devices based on HfO2/ZrO2 superlattices and …

RE: https://mastodon.social/@oekoinstitut/115451013755148750
An interesting approach to sharing carbon costs in Germany to split the costs between tenants, who cannot decide on energy efficiency measures, and landlords, who can. The cost split is dete…

A Resource-Driven Approach for Implementing CNNs on FPGAs Using Adaptive IPs
Philippe Magalh\~aes (LabHC), Virginie Fresse (LabHC), Beno\^it Suffran (LabHC), Olivier Alata (LabHC)
https://arxiv.org/abs/2510.02990

A Resource-Driven Approach for Implementing CNNs on FPGAs Using Adaptive IPs
The increasing demand for real-time, low-latency artificial intelligence applications has propelled the use of Field-Programmable Gate Arrays (FPGAs) for Convolutional Neural Network (CNN) implementations. FPGAs offer reconfigurability, energy efficiency, and performance advantages over GPUs, making them suitable for edge devices and embedded systems. This work presents a novel library of resource-efficient convolution IPs designed to automatically adapt to the available FPGA resources. Develop…

psi: Plant Photosystem I excitation energy transfer network (2020)
Weighted directed network of the light-harvesting Photosystem Ι (PSI) of the plant Pisum sativum. The nodes represent chromophores with different identities (i.e. chlorophyll a, chlorophyll b, β-carotene and derivates, lutein, violaxanthin), while edges represent FRET transfer between chromophores. The link directionality connecting nodes in the PSI network depends on the energy levels of the connected chromophores. The…

When Light Bends to the Collective Will: A Theory and Vision for Adaptive Photonic Scale-up Domains
Vamsi Addanki
https://arxiv.org/abs/2510.08072 https://…

When Light Bends to the Collective Will: A Theory and Vision for Adaptive Photonic Scale-up Domains
As chip-to-chip silicon photonics gain traction for their bandwidth and energy efficiency, collective communication has emerged as a critical bottleneck in scale-up systems. Programmable photonic interconnects offer a promising path forward: by dynamically reconfiguring the fabric, they can establish direct, high-bandwidth optical paths between communicating endpoints -- \emph{synchronously and guided by the structure of collective operations} (e.g., AllReduce). However, realizing this vision -…

When Energy-Efficiency May Not Yield Positive Climate Impact -- The Case of Adaptive Radiative Coolers
Nithin Jo Varghese, Jyothis Anand, Jyotirmoy Mandal
https://arxiv.org/abs/2509.19776

When Energy-Efficiency May Not Yield Positive Climate Impact -- The Case of Adaptive Radiative Coolers
The climate impact of building envelopes is often quantified using their energy savings and CO2 emission reduction benefits. However, building envelopes also trap solar and thermal infrared heat, which is dissipated as a direct heating penalty into our warming planet. For static or adaptive envelopes that passively heat buildings by radiatively retaining heat, these two effects are antagonistic. Yet, their net effect remains unexplored. In this study, we compare the emission reductions benefit,…

Join climate activists in the US for Sun Day, a national day of action celebrating solar power and energy efficiency growth. #climatechange #climatesolutions #climate

‘Sun Day’: Climate Activists To Rally For Clean Energy Amid Trump Attacks
"Some 450 events are planned across the US this Sunday to celebrate growth of solar power and energy efficiency"

Comparative Field Deployment of Reinforcement Learning and Model Predictive Control for Residential HVAC
Ozan Baris Mulayim, Elias N. Pergantis, Levi D. Reyes Premer, Bingqing Chen, Guannan Qu, Kevin J. Kircher, Mario Berg\'es
https://arxiv.org/abs/2510.01475

Comparative Field Deployment of Reinforcement Learning and Model Predictive Control for Residential HVAC
Advanced control strategies like Model Predictive Control (MPC) offer significant energy savings for HVAC systems but often require substantial engineering effort, limiting scalability. Reinforcement Learning (RL) promises greater automation and adaptability, yet its practical application in real-world residential settings remains largely undemonstrated, facing challenges related to safety, interpretability, and sample efficiency. To investigate these practical issues, we performed a direct com…

psi: Plant Photosystem I excitation energy transfer network (2020)
Weighted directed network of the light-harvesting Photosystem Ι (PSI) of the plant Pisum sativum. The nodes represent chromophores with different identities (i.e. chlorophyll a, chlorophyll b, β-carotene and derivates, lutein, violaxanthin), while edges represent FRET transfer between chromophores. The link directionality connecting nodes in the PSI network depends on the energy levels of the connected chromophores. The…

RSS Podcast Feed Inefficiency - Climate cost of handling feeds ineptly... #RSS #podcast #FrugalComputing #LowCarbonComputing

RSS Podcast Feed Inefficiency
Climate cost of handling feeds ineptly... #RSS #podcast #FrugalComputing #LowCarbonComputing #greenSoftware

GLo-MAPPO: A Multi-Agent Proximal Policy Optimization for Energy Efficiency in UAV-Assisted LoRa Networks
Abdullahi Isa Ahmed, Jamal Bentahar, El Mehdi Amhoud
https://arxiv.org/abs/2509.17676

GLo-MAPPO: A Multi-Agent Proximal Policy Optimization for Energy Efficiency in UAV-Assisted LoRa Networks
Long Range (LoRa) based low-power wide area networks (LPWANs) are crucial for enabling next-generation IoT (NG-IoT) applications in 5G/6G ecosystems due to their long-range, low-power, and low-cost characteristics. However, achieving high energy efficiency in such networks remains a critical challenge, particularly in large-scale or dynamically changing environments. Traditional terrestrial LoRa deployments often suffer from coverage gaps and non-line-of-sight (NLoS) propagation losses, while s…

Artificial Synapse based on ULTRARAM Memory Device for Neuromorphic Applications
Abhishek Kumar, Peter D. Hodgson, Manus Hayne, Avirup Dasgupta
https://arxiv.org/abs/2510.05671 …

Artificial Synapse based on ULTRARAM Memory Device for Neuromorphic Applications
The memory demands of large-scale deep neural networks (DNNs) require synaptic weight values to be stored and updated in off-chip memory like dynamic random-access memory, which reduces energy efficiency and increases training time. Monolithic crossbar or pseudo-crossbar arrays using analog non-volatile memories, which can store and update weights on-chip, present an opportunity to efficiently accelerate DNN training. In this article, we present on-chip training and inference of a neural networ…

NEURAL: An Elastic Neuromorphic Architecture with Hybrid Data-Event Execution and On-the-fly Attention Dataflow
Yuehai Chen, Farhad Merchant
https://arxiv.org/abs/2509.15036 htt…

NEURAL: An Elastic Neuromorphic Architecture with Hybrid Data-Event Execution and On-the-fly Attention Dataflow
Spiking neural networks (SNNs) have emerged as a promising alternative to artificial neural networks (ANNs), offering improved energy efficiency by leveraging sparse and event-driven computation. However, existing hardware implementations of SNNs still suffer from the inherent spike sparsity and multi-timestep execution, which significantly increase latency and reduce energy efficiency. This study presents NEURAL, a novel neuromorphic architecture based on a hybrid data-event execution paradigm…

psi: Plant Photosystem I excitation energy transfer network (2020)
Weighted directed network of the light-harvesting Photosystem Ι (PSI) of the plant Pisum sativum. The nodes represent chromophores with different identities (i.e. chlorophyll a, chlorophyll b, β-carotene and derivates, lutein, violaxanthin), while edges represent FRET transfer between chromophores. The link directionality connecting nodes in the PSI network depends on the energy levels of the connected chromophores. The…

Huawei just launched FusionSolar 9.0, and it's a game-changer for renewable energy grids.
The platform combines solar-plus-storage with AI-driven management and grid-forming inverters that actively support weak grids instead of just feeding into them. It includes real-time optimization and fault detection, transforming solar plants into stability assets for grids with high renewable penetration.

Huawei unveils FusionSolar 9.0 platform with AI, grid-forming tech
Huawei's FusionSolar 9.0 is a new integrated solar-plus-storage platform featuring smart inverters, AI-driven management, and grid-forming capabilities to turn solar plants into active grid-support assets. It boosts efficiency, reduces costs, and enhances stability in weak grids with high renewable penetration, according to the company.

psi: Plant Photosystem I excitation energy transfer network (2020)
Weighted directed network of the light-harvesting Photosystem Ι (PSI) of the plant Pisum sativum. The nodes represent chromophores with different identities (i.e. chlorophyll a, chlorophyll b, β-carotene and derivates, lutein, violaxanthin), while edges represent FRET transfer between chromophores. The link directionality connecting nodes in the PSI network depends on the energy levels of the connected chromophores. The…

RSS Podcast Feed Inefficiency - Climate cost of handling feeds ineptly... #RSS #podcast #FrugalComputing #LowCarbonComputing

RSS Podcast Feed Inefficiency
Climate cost of handling feeds ineptly... #RSS #podcast #FrugalComputing #LowCarbonComputing #greenSoftware

Metadata-Guided Adaptable Frequency Scaling across Heterogeneous Applications and Devices
Jinqi Yan, Fang He, Qianlong Sang, Bifeng Tong, Peng Sun, Yili Gong, Chuang Hu, Dazhao Cheng
https://arxiv.org/abs/2509.22707

Metadata-Guided Adaptable Frequency Scaling across Heterogeneous Applications and Devices
Dynamic Voltage and Frequency Scaling is essential for enhancing energy efficiency in mobile platforms. However, traditional heuristic-based governors are increasingly inadequate for managing the complexity of heterogeneous System-on-Chip designs and diverse application workloads. Although reinforcement learning approaches offer improved performance, their poor generalization capability and reliance on extensive retraining for each hardware and application combination leads to significant deplo…