Tootfinder

Generating Energy-Efficient Code via Large-Language Models -- Where are we now?
Radu Apsan, Vincenzo Stoico, Michel Albonico, Rudra Dhar, Karthik Vaidhyanathan, Ivano Malavolta
https://arxiv.org/abs/2509.10099

Generating Energy-Efficient Code via Large-Language Models -- Where are we now?
Context. The rise of Large Language Models (LLMs) has led to their widespread adoption in development pipelines. Goal. We empirically assess the energy efficiency of Python code generated by LLMs against human-written code and code developed by a Green software expert. Method. We test 363 solutions to 9 coding problems from the EvoEval benchmark using 6 widespread LLMs with 4 prompting techniques, and comparing them to human-developed solutions. Energy consumption is measured on three different…

Very happy to see Trump’s illegal block on wind farm development thrown out by a judge, along with the Orwellian justification given for it—a classic inversion of the truth. Every accusation is a confession, etc. (“The government argued that the states’ claims amount to nothing more than a policy disagreement over preferences for wind versus fossil fuel energy development that is outside the federal court’s jurisdiction.”)

Federal judge throws out Trump order blocking development of wind energy
A federal judge has struck down President Donald Trump’s executive order blocking wind energy projects, saying the effort to halt virtually all leasing of wind farms on federal lands and waters was “arbitrary and capricious” and violates U.S. law. Judge Patti Saris of the U.S. District Court for the District of Massachusetts vacated Trump’s Jan. 20 executive order. Saris ruled in favor of a coalition of state attorneys general from 17 states and Washington, D.C., led by New York's attor…

On The Road - To Xi’An/ Angles ↕️
在路上 - 去西安/ 角度 ↕️
📷 Pentax MX
🎞️Fujifilm Neopan F, expired 1993
#filmphotography #Photography #blackandwhite

🌿 Oxford’s TIDE Centre launches the Nature’s Intelligence Studio at #COP30 — turning 3.4 billion years of evolution into solutions for today’s climate and energy challenges. Innovation inspired by the Amazon, for the planet. 🌍✨

Oxford's TIDE Centre launches Nature’s Intelligence Studio at COP30 | University of Oxford
The University of Oxford’s TIDE Centre (Technology and Industrialisation for Development Centre) has launched the Nature’s Intelligence Studio, a new programme to translate principles observed in biological systems into technologies that support the energy transition and wider sustainability goals, while ensuring fair benefit-sharing with communities in biodiverse regions.

Toward Green Code: Prompting Small Language Models for Energy-Efficient Code Generation
Humza Ashraf, Syed Muhammad Danish, Zeeshan Sattar
https://arxiv.org/abs/2509.09947 https…

Toward Green Code: Prompting Small Language Models for Energy-Efficient Code Generation
There is a growing concern about the environmental impact of large language models (LLMs) in software development, particularly due to their high energy use and carbon footprint. Small Language Models (SLMs) offer a more sustainable alternative, requiring fewer computational resources while remaining effective for fundamental programming tasks. In this study, we investigate whether prompt engineering can improve the energy efficiency of SLMs in code generation. We evaluate four open-source SLMs…

A federal judge on Monday
struck down Donald Trump’s executive order blocking wind energy projects,
saying the effort to halt virtually all leasing of wind farms on federal lands and waters was
“arbitrary and capricious” and violates U.S. law.
Judge Patti Saris of the U.S. District Court for the District of Massachusetts
vacated Trump’s Jan. 20 executive order blocking wind energy projects and declared it unlawful.
Saris ruled in favor of a coalition of…

Federal judge throws out Trump order blocking development of wind energy
A federal judge has struck down President Donald Trump’s executive order blocking wind energy projects, saying the effort to halt virtually all leasing of wind farms on federal lands and waters was “arbitrary and capricious” and violates U.S. law. Judge Patti Saris of the U.S. District Court for the District of Massachusetts vacated Trump’s Jan. 20 executive order. Saris ruled in favor of a coalition of state attorneys general from 17 states and Washington, D.C., led by New York's attor…

Ambient-Stable Transfer-Free Graphdiyne Wafers with Superhigh Hole Mobility at Room Temperature
Beining Ma, Jianyuan Qi, Xinghai Shen
https://arxiv.org/abs/2510.09998 https://…

Ambient-Stable Transfer-Free Graphdiyne Wafers with Superhigh Hole Mobility at Room Temperature
Graphdiyne (GDY) is recognized as a compelling candidate for the fabrication of next-generation high-speed low-energy electronic devices due to its inherent p-type semiconductor characteristics. However, the development of GDY for applications in field-effect transistors (FETs), complementary metal-oxide-semiconductor (CMOS), and logic devices remains constrained by the relatively low carrier mobility reported in current experimental studies. Herein, the synthesis of layer-controlled hydrogen-s…

"Spain awards 133 energy-storage projects totaling 2.4 GW and 10 GWh"
#Spain #Energy #Renewables

Spain awards 133 energy-storage projects totaling 2.4 GW and 10 GWh
Spain’s Institute for the Diversification and Saving of Energy confirmed €827 million ($961.4 million) in European Regional Development Fund co-financing for 133 energy-storage projects with a combined capacity of about 2.4 GW and 10 GWh.

Russia’s Economic Growth Slows for Third Straight Quarter – Ministry Data
https://www.themoscowtimes.com/2025/10/30/russias-economic-growth-slows-for-third-straight-quarter-ministry-data-a90994

Russia’s Economic Growth Slows for Third Straight Quarter – Ministry Data
Russia’s economy has continued to lose momentum for the third consecutive quarter, according to new data from the Economic Development Ministry.

Multi-Scale Land Use Impacts on Fossil Fuel-Related CO$_2$ Emissions in the United States
Jason Hawkins, Mehrnoosh Zare
https://arxiv.org/abs/2510.08611 https://

Multi-Scale Land Use Impacts on Fossil Fuel-Related CO$_2$ Emissions in the United States
Anthropogenic greenhouse gas (GHG) emissions exhibit spatial variation owing to differences in development patterns, local climate, economic composition, energy sources, and other factors. Many of these factors - and therefore their contribution to GHG production - are influenceable through spatial planning and economic policy. Recent advances in environmental data reporting and climate flux measurement have produced high fidelity GHG emissions estimates at detailed spatial and temporal resolut…

🗜️ A Review of the Research and Development of Brayton Cycle Technology in Nuclear Power Applications with a Focus on Compressor Technology
#energy

Federal judge throws out Trump order blocking development of wind energy (Associated Press)
https://apnews.com/article/trump-wind-power-offshore-attorney-general-a8c2f1201ac6b0607e8c4a1c36e651ba
http://www.memeorandum.com/251208/p138#a251208p138

The US forms a $1B partnership with AMD to construct two supercomputers, Lux and Discovery, accelerating research in fusion energy, drug development, and more (Reuters)
https://www.reuters.com/business/energy/us-d…

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 …

Wilders and his far-right PVV are losing in the Dutch polls. He's now polling at 23 seats (around 15%), down from 37 in the 2023 elections and 49 at his peak in the polls, early 2024.
Good development, but the real thing is tomorrow, when we finally get to vote!

Insights into the OER, ORR, and HER Activity of a New MXene-Family SnSiGeN4 Photocatalyst for Water Splitting: A First-Principles Study
Chhatra Bahadur Subba, Bhanu Chettri, Amel Laref, Zeesham Abbas, Amna Parveen, Dibya Prakash Rai, Zaithanzauva Pachuau
https://arxiv.org/abs/2510.09538

Insights into the OER, ORR, and HER Activity of a New MXene-Family SnSiGeN4 Photocatalyst for Water Splitting: A First-Principles Study
The development of efficient and cost-effective catalysts for clean energy conversion remains a central challenge in materials science. Although platinum serves as the benchmark catalyst, its scarcity and high cost hinder large-scale deployment. In this study, we propose a newly predicted SnSiGeN4 MXene-family monolayer as a promising candidate for the oxygen evolution reaction (OER), oxygen reduction reaction (ORR), and hydrogen evolution reaction (HER). Using first-principles calculations, we…

As expected, hurricane #Melissa has started its rapid intensification. Already a cat. 3 major hurricane now, with winds of 195 km/h. Forecasted to cause catastrophic damage on Jamaica and in Haiti in the coming few days.

Ground-Truthing AI Energy Consumption: Validating CodeCarbon Against External Measurements
Raphael Fischer
https://arxiv.org/abs/2509.22092 https://arxiv.o…

Ground-Truthing AI Energy Consumption: Validating CodeCarbon Against External Measurements
Although machine learning (ML) and artificial intelligence (AI) present fascinating opportunities for innovation, their rapid development is also significantly impacting our environment. In response to growing resource-awareness in the field, quantification tools such as the ML Emissions Calculator and CodeCarbon were developed to estimate the energy consumption and carbon emissions of running AI models. They are easy to incorporate into AI projects, however also make pragmatic assumptions and …

Effective Free Energy Landscapes and Hawking-Page Transitions
Choon-Lin Ho
https://arxiv.org/abs/2509.25039 https://arxiv.org/pdf/2509.25039

Effective Free Energy Landscapes and Hawking-Page Transitions
A recent interesting development on the dynamics of black hole phase transitions, the Hawking-Page transition, has been the so-called Gibbs free energy landscape approach. In this formalism, it is assumed that there exists a canonical ensemble of a series of black hole spacetimes with arbitrary horizon radius at a given ensemble temperature. An off-shell Gibbs free energy is defined for every spacetime state in the ensemble, with the horizon radius treated as the order parameter. The minima (ma…

Replaced article(s) found for hep-ex. https://arxiv.org/list/hep-ex/new
[1/1]:
- WISPFI Experiment: Prototype Development
Josep Maria Batllori, Michael Frosz, Dieter Horns, Marios Maroudas

Commonwealth Fusion Systems partners with Google DeepMind to use Google's open-source plasma simulator, TORAX, for accelerating fusion energy development (Ina Fried/Axios)
https://www.axios.com/2025/10/16/google-deepmind-clean-energy-fusion

Exclusive: Google DeepMind partners with fusion startup
Commonwealth Fusion Systems aims to speed up the development of clean energy.

"China targets 180 GW of new energy storage by 2027 in ambitous national plan"
#China #Energy #Renewables

China targets 180 GW of new energy storage by 2027 in ambitous national plan
Announced by the National Development and Reform Commission (NDRC) and the National Energy Administration (NEA), the new plan is expected to drive CNY 250 billion ($35.1 billion) in sector investment.

STL-FFT-STFT-TCN-LSTM: An Effective Wave Height High Accuracy Prediction Model Fusing Time-Frequency Domain Features
Huipeng Liu, Zhichao Zhu, Yuan Zhou, Changlu Li
https://arxiv.org/abs/2509.19313

STL-FFT-STFT-TCN-LSTM: An Effective Wave Height High Accuracy Prediction Model Fusing Time-Frequency Domain Features
As the consumption of traditional energy sources intensifies and their adverse environmental impacts become more pronounced, wave energy stands out as a highly promising member of the renewable energy family due to its high energy density, stability, widespread distribution, and environmental friendliness. The key to its development lies in the precise prediction of Significant Wave Height (WVHT). However, wave energy signals exhibit strong nonlinearity, abrupt changes, multi-scale periodicity,…

Here are my favourites from the National Portrait Gallery's Portrait Award 2025. It's a fantastic selection this year, and free to see as always.
#art #portraits #painting

Progress towards stereo observation of ultra-high-energy cosmic rays with Fluorescence detector Array of Single-pixel Telescopes
Shunsuke Sakurai, Justin Albury, Jose Bellido, Fraser Bradfield, Karel Cerny, Ladislav Chytka, John Farmer, Toshihiro Fujii, Petr Hamal, Pavel Horvath, Miroslav Hrabovsky, Vlastimil Jilek, Jakub Kmec, Jiri Kvita, Max Malacari, Dusan Mandat, Massimo Mastrodicasa, John N. Matthews, Stanislav Michal, Hiromu Nagasawa, Hiroki Namba, Marcus Niechciol, Libor Nozka, …

Progress towards stereo observation of ultra-high-energy cosmic rays with Fluorescence detector Array of Single-pixel Telescopes
Ultra-high-energy cosmic rays (UHECRs) are the most energetic particles ever detected. Cosmic rays that achieve the highest energies are rare, and their flux at Earth is extremely low. As a result, next-generation experiments with large effective areas are required and under development. The Fluorescence detector Array of Single-pixel Telescopes (FAST) is one such project. Although observation time is limited compared with ground particle detectors, it enables direct measurements of $X_\mathrm{…

Probing hadronic interactions with high-energy and low-energy muons in extensive air showers
Lilly Pyras, Dennis Soldin, Felix Riehn
https://arxiv.org/abs/2509.17150 https://

Probing hadronic interactions with high-energy and low-energy muons in extensive air showers
High-energy cosmic rays are observed indirectly by detecting the extensive air showers initiated in Earth's atmosphere. The interpretation of experimental data relies on accurate modeling of the air shower development. Simulations based on current hadronic interaction models show significant discrepancies with measurements of the muon content in air showers, commonly referred to as the Muon Puzzle, indicating severe shortcomings in the understanding of particle physics. A hybrid detector design…

One thing that's working in the Dutch energy transition (although further development of wind and solar is now slowing down). And we're not far from seeing this happen globally either.

The development of a high granular crystal calorimeter prototype of VLAST
Yanshuo Zhang, Qian Chen, Dengyi Chen, Jianguo Liu, Yiming Hu, Yunlong Zhang, Yifeng Wei, Zhongtao Shen, Changqing Feng, Jianhua Guo, Shubin Liu, Guangshun Huang, Xiaolian Wang, Zizong Xu
https://arxiv.org/abs/2509.24851

The development of a high granular crystal calorimeter prototype of VLAST
Very Large Area gamma-ray Space Telescope (VLAST) is the next-generation flagship space observatory for high-energy gamma-ray detection proposed by China. The observation energy range covers from MeV to TeV and beyond, with acceptance of 10 m^2sr. The calorimeter serves as a crucial subdetector of VLAST, responsible for high-precision energy measurement and electron/proton discrimination. This discrimination capability is essential for accurately identifying gamma-ray events among the backgroun…

Electron neural closure for turbulent magnetosheath simulations: energy channels
George Miloshevich, Luka Vranckx, Felipe Nathan de Oliveira Lopes, Pietro Dazzi, Giuseppe Arr\`o, Giovanni Lapenta
https://arxiv.org/abs/2510.00282

Electron neural closure for turbulent magnetosheath simulations: energy channels
In this work, we introduce a non-local five-moment electron pressure tensor closure parametrized by a Fully Convolutional Neural Network (FCNN). Electron pressure plays an important role in generalized Ohm's law, competing with electron inertia. This model is used in the development of a surrogate model for a fully kinetic energy-conserving semi-implicit Particle-in-Cell simulation of decaying magnetosheath turbulence. We achieve this by training FCNN on a representative set of simulations with…

It's good to see that GMCA has adopted a retrofit framework agreement that includes calculating embodied carbon.
As we showed in relation to GMCA's own Joint Development Plan, Places for Everyone, it's embodied carbon that's the big problem in building new homes etc. So at least try to make #retrofit and enetgy saving low carbon.
Taking a calculated risk: eliminating the …

Efficient Training of Spiking Neural Networks by Spike-aware Data Pruning
Chenxiang Ma, Xinyi Chen, Yujie Wu, Kay Chen Tan, Jibin Wu
https://arxiv.org/abs/2510.04098 https://

Efficient Training of Spiking Neural Networks by Spike-aware Data Pruning
Spiking neural networks (SNNs), recognized as an energy-efficient alternative to traditional artificial neural networks (ANNs), have advanced rapidly through the scaling of models and datasets. However, such scaling incurs considerable training overhead, posing challenges for researchers with limited computational resources and hindering the sustained development of SNNs. Data pruning is a promising strategy for accelerating training by retaining the most informative examples and discarding red…

Moody Urbanity - UP 🆙
情绪化城市 - 上面 🆙
📷 Nikon FE
🎞️ Ilford HP5 Plus 400, expired 1993
#filmphotography #Photography #blackandwhite

Revising core powered mass loss: A critical assessment of the "energy limited" argument
Darius Modirrousta-Galian, Jun Korenaga
https://arxiv.org/abs/2509.16046 https:…

Revising core powered mass loss: A critical assessment of the "energy limited" argument
The extreme conditions in the early stages of planetary evolution are thought to shape its subsequent development. High internal temperatures from giant impacts can provide sufficient energy to drive extreme volatile loss, with hydrogen being most readily lost. However, the conditions required for maintaining a primordial atmosphere over geological timescales remain enigmatic. This paper revisits the core powered mass loss model for hydrogen removal from planetary atmospheres. One popular appro…

Pursuing decarbonization and competitiveness: a narrow corridor for European green industrial transformation
Alice Di Bella, Toni Seibold, Tom Brown, Massimo Tavoni
https://arxiv.org/abs/2510.08199

Pursuing decarbonization and competitiveness: a narrow corridor for European green industrial transformation
This study analyzes how Europe can decarbonize its industrial sector while remaining competitive. Using the open-source model PyPSA-Eur, it examines key energy- and emission-intensive industries, including steel, cement, methanol, ammonia, and high-value chemicals. Two development paths are explored: a continued decline in industrial activity and a reindustrialization driven by competitiveness policies. The analysis assesses cost gaps between European green products and lower-cost imports, and …

Scalable Reactive Atomistic Dynamics with GAIA
Suhwan Song, Heejae Kim, Jaehee Jang, Hyuntae Cho, Gunhee Kim, Geonu Kim
https://arxiv.org/abs/2509.25798 https://

Scalable Reactive Atomistic Dynamics with GAIA
The groundbreaking advance in materials and chemical research has been driven by the development of atomistic simulations. However, the broader applicability of the atomistic simulations remains restricted, as they inherently depend on energy models that are either inaccurate or computationally prohibitive. Machine learning interatomic potentials (MLIPs) have recently emerged as a promising class of energy models, but their deployment remains challenging due to the lack of systematic protocols …

Ultrafast non-adiabatic molecular energy conversion into photons induced by quantized electromagnetic fields
Arley Fl\'orez L\'opez, Johan F. Triana, Jos\'e Luis Sanz-Vicario
https://arxiv.org/abs/2509.13233

Ultrafast non-adiabatic molecular energy conversion into photons induced by quantized electromagnetic fields
Molecular polaritons within the mid-infrared regime have emerged as a source for modifying and manipulating molecular and photonic properties. However, the development of new methodologies for photon generation is still a challenge in nanophotonics. We propose a molecular model based on the Holstein-quantum-Rabi Hamiltonian, which also incorporates realistic dipole moments and non-adiabatic couplings among electronic excited states, to study the ultrafast photodynamics of diatomic molecules in …

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 …

Investigating the need for a robust ultraviolet filter set aboard the Habitable Worlds Observatory
Kyle Cook, Benne Holwerda, Clayton Robertson
https://arxiv.org/abs/2510.02054 …

Investigating the need for a robust ultraviolet filter set aboard the Habitable Worlds Observatory
High resolution, ultraviolet imaging is often unavailable across the sky, even in heavily studied fields such as the Chandra Deep Field - South. The Habitable Worlds Observatory is one of two upcoming missions with the possibility of significant UV capabilities, and the only one early enough in development to consider suggestions to its design. In this paper, we conduct an initial study of how current common UV filter sets affect the results of spectral energy distribution fitting for the estim…

Validation of a Reynolds-averaged numerical simulation environment to simulate high-pressure, auto-igniting hydrogen diffusion flames
N. Diepstraten, L. M. T. Somers, J. A. van Oijen
https://arxiv.org/abs/2509.18841

AI-assisted Advanced Propellant Development for Electric Propulsion
Angel Pan Du, Miguel Arana-Catania, Enric Grustan Guti\'errez
https://arxiv.org/abs/2509.26567 https://…

AI-assisted Advanced Propellant Development for Electric Propulsion
Artificial Intelligence algorithms are introduced in this work as a tool to predict the performance of new chemical compounds as alternative propellants for electric propulsion, focusing on predicting their ionisation characteristics and fragmentation patterns. The chemical properties and structure of the compounds are encoded using a chemical fingerprint, and the training datasets are extracted from the NIST WebBook. The AI-predicted ionisation energy and minimum appearance energy have a mean …

Exasperation with the United States has been building in Vietnam.
Blow by blow, it has risen with the elimination of American aid for clean energy and H.I.V. prevention,
up-and-down tariffs,
indifference to requests for a leader-to-leader meeting,
a Trump family golf development near Hanoi that has enraged local residents,
and surprises like the new tax on U.S. imports of furniture
— one of Vietnam’s priority industries for growth.
It has been 50 ye…

Is the U.S. Losing in Vietnam? Russia, North Korea and China Are Gaining.
U.S. allies worry that American volatility and Russian outreach and arms sales, in particular, are driving Vietnam into a new phase.

There are only 3 major OS that are currently in active development. The rest are just running on fumes of "keep this thing running with as little budget as possible" and sometimes failing at that too.
Two of these are been developed to get worse and suck you energy and your time out: Android and IOS
The last one is Linux desktop.
(Sorry Haiku, I don't mean to disrespect you. You are awesome)

Development Status of the KIPM Detector Consortium
Dylan J Temples (KIPM Detector Consortium), Zo\"e J. Smith (KIPM Detector Consortium), Selby Q Dang (KIPM Detector Consortium), Taylor Aralis (KIPM Detector Consortium), Chi Cap (KIPM Detector Consortium), Clarence Chang (KIPM Detector Consortium), Yen-Yung Chang (KIPM Detector Consortium), Maurice Garcia-Sciveres (KIPM Detector Consortium), Sunil Golwala (KIPM Detector Consortium), William Ho (KIPM Detector Consortium), Noah Kuri…

Development Status of the KIPM Detector Consortium
A Kinetic Inductance Phonon-Mediated Detector is a calorimeter that uses kinetic inductance detectors to read out phonon signals from the device substrate. We have established a consortium comprising university and national lab groups dedicated to advancing the state of the art in these detectors, with the ultimate goal of designing a detector sub-eV threshold on energy deposited in the substrate, enabling searches for both light dark matter and low-energy neutrino interactions. This consortium…

Chiplet-Based RISC-V SoC with Modular AI Acceleration
P. Ramkumar, S. S. Bharadwaj
https://arxiv.org/abs/2509.18355 https://arxiv.org/pdf/2509.18355…

Lorentz invariance violation in the extragalactic propagation of ultra-high energy photons and in the development of showers in the Earth crust and atmosphere
Denise Boncioli, Valdir Barbosa Bezerra, Matteo Giammarco, Iarley Pereira Lobo, Pedro Morais, Francesco Salamida
https://arxiv.org/abs/2509.14753

Lorentz invariance violation in the extragalactic propagation of ultra-high energy photons and in the development of showers in the Earth crust and atmosphere
We investigate the effects of Lorentz invariance violation (LIV) on photon interactions, considering both intergalactic propagation (Breit-Wheeler process) and atmospheric interactions (Bethe-Heitler process). By incorporating LIV into the theoretical framework, we analyze how it modifies key quantities such as the cross section, threshold energy, and mean free path of photons traveling through intergalactic space. In addition, we study its impact on extensive air showers initiated by high-ener…

Embodied Intelligence in Disassembly: Multimodal Perception Cross-validation and Continual Learning in Neuro-Symbolic TAMP
Ziwen He, Zhigang Wang, Yanlong Peng, Pengxu Chang, Hong Yang, Ming Chen
https://arxiv.org/abs/2509.11270

Embodied Intelligence in Disassembly: Multimodal Perception Cross-validation and Continual Learning in Neuro-Symbolic TAMP
With the rapid development of the new energy vehicle industry, the efficient disassembly and recycling of power batteries have become a critical challenge for the circular economy. In current unstructured disassembly scenarios, the dynamic nature of the environment severely limits the robustness of robotic perception, posing a significant barrier to autonomous disassembly in industrial applications. This paper proposes a continual learning framework based on Neuro-Symbolic task and motion plann…

Nonreciprocal optical circuit switching
Zhifeng Tu, Yucong Yang, Yiran Wei, Shuyuan Liu, Fangchen Hu, Peng Zou, Chengkun Yang, Tianchi Zhang, Di Wu, Ruoyu Shen, Bingzhou Hong, Haiwen Cai, Lei Bi, Wei Chu
https://arxiv.org/abs/2509.20016

Nonreciprocal optical circuit switching
Directly switching optical signals outperforms conventional optoelectronic hardware in terms of cost, latency, and energy efficiency, and is expected to address the growing demand for data node capacity driven by the development of machine learning and artificial intelligence (AI) technologies. Therefore, optical circuit switching (OCS) technology has piqued widespread research interest in various technical solutions, including silicon photonics. However, silicon-based integrated OCS remains co…

Development of a projectile charge state analyzer and 10 kV bipolar power supply for MeV energy ion - atom/molecule collision experiments
Sandeep Bajrangi Bari, Sahan Raghava Sykam, Ranojit Das, Rohit Tyagi, Aditya H. Kelkar
https://arxiv.org/abs/2511.18707

Sodium-Decorated Ennea-Graphene: A Novel 2D Carbon Allotrope for High-Capacity Hydrogen Storage
Bill D. Aparicio Huacarpuma, Jos\'e A. S. Laranjeira, Nicolas F. Martins, Julio R. Sambrano, F\'abio L. Lopes de Mendon\c{c}a, Alexandre C. Dias, Luiz A. Ribeiro Junior
https://arxiv.org/abs/2509.19060

Sodium-Decorated Ennea-Graphene: A Novel 2D Carbon Allotrope for High-Capacity Hydrogen Storage
The development of safe, efficient, and reversible hydrogen storage materials is critical for advancing hydrogen-based energy technologies and achieving carbon-neutral goals. Ennea-Graphene, a new 2D carbon allotrope made of 4-, 5-, 6-, and mainly 9-membered carbon rings (nonagons), is introduced via Density Functional Theory (DFT) calculations. Phonon dispersion and ab initio molecular dynamics demonstrate that the monolayer is mechanically and dynamically stable at 300 K, as no imaginary mode…

TrackCore-F: Deploying Transformer-Based Subatomic Particle Tracking on FPGAs
Arjan Blankestijn, Uraz Odyurt, Amirreza Yousefzadeh
https://arxiv.org/abs/2509.26335 https://

TrackCore-F: Deploying Transformer-Based Subatomic Particle Tracking on FPGAs
The Transformer Machine Learning (ML) architecture has been gaining considerable momentum in recent years. In particular, computational High-Energy Physics tasks such as jet tagging and particle track reconstruction (tracking), have either achieved proper solutions, or reached considerable milestones using Transformers. On the other hand, the use of specialised hardware accelerators, especially FPGAs, is an effective method to achieve online, or pseudo-online latencies. The development and inte…

"Benin puts solar power at the heart of its energy policy"
#Benin #SolarPower #Energy #Renewables…

Benin puts solar power at the heart of its energy policy
The government of Benin is focusing on building solar power plants as part of a policy to make renewable energy the main source of the country’s energy supply by 2030. When it met in July, the Council of Ministers approved an updated National Renewable Energy Development Policy (PONADER) for 2020-2030. The policy renews the government’s […]

Material Synthesis 2025 (MatSyn25) Dataset for 2D Materials
Chengbo Li, Ying Wang, Qianying Wang, Zhizhi Tan, Haiqing Jia, Yi Liu, Li Qian, Nian Ran, Jianjun Liu, Zhixiong Zhang
https://arxiv.org/abs/2510.00776

Material Synthesis 2025 (MatSyn25) Dataset for 2D Materials
Two-dimensional (2D) materials have shown broad application prospects in fields such as energy, environment, and aerospace owing to their unique electrical, mechanical, thermal and other properties. With the development of artificial intelligence (AI), the discovery and design of novel 2D materials have been significantly accelerated. However, due to the lack of basic theories of material synthesis, identifying reliable synthesis processes for theoretically designed materials is a challenge. Th…

Design and Scientific Prospects of the POLAR-2 Mission
Merlin Kole, Nicolas de Angelis, Jiang He, Hongbang Liu, Jianchao Sun, Fei Xie, Jimmy Zaid
https://arxiv.org/abs/2510.02016

Design and Scientific Prospects of the POLAR-2 Mission
The POLAR-2 mission consists of 3 instruments designed with the combined aim of producing a deeper understanding of Gamma-Ray Bursts. To achieve this, POLAR-2 relies on polarisation measurements and, for the first time will provide these using 2 separate polarimeter detectors. The first of these is a payload optimised to perform Compton polarimetry measurements in the 40-1000 keV energy range using a combination of plastic scintillators and SiPMs. The development of this payload, the design of …

Unsupervised Machine Learning for Anomaly Detection in LHC Collider Searches
Antonio D'Avanzo (on behalf of the ATLAS Collaboration)
https://arxiv.org/abs/2509.24723 https:/…

Unsupervised Machine Learning for Anomaly Detection in LHC Collider Searches
Searches for new physics at the LHC at CERN traditionally use advanced simulations to model Standard Model and new-physics processes in high-energy collisions and compare them with data. The lack of recent direct discoveries, however, has motivated the development of model-independent approaches in HEP to complement existing hypothesis-driven analyses, particularly Anomaly Detection. A review of the latest efforts in BSM searches with anomaly detection is presented in these proceedings, focusin…

Low-Altitude Wireless Networks: A Survey
Jun Wu, Yaoqi Yang, Weijie Yuan, Wenchao Liu, Jiacheng Wang, Tianqi Mao, Lin Zhou, Yuanhao Cui, Fan Liu, Geng Sun, Nan Wu, Dezhi Zheng, Jindan Xu, Nan Ma, Zhiyong Feng, Wei Xu, Dusit Niyato, Chau Yuen, Xiaojun Jing, Zhiguo Shi, Yingchang Liang, Shi Jin, Dong In Kim, Jiangzhou Wang, Ping Zhang, Hao Yin, Jun Zhang
https://…

Low-Altitude Wireless Networks: A Survey
The rapid development of the low-altitude economy has imposed unprecedented demands on wireless infrastructure to accommodate large-scale drone deployments and facilitate intelligent services in dynamic airspace environments. However, unlocking its full potential in practical applications presents significant challenges. Traditional aerial systems predominantly focus on air-ground communication services, often neglecting the integration of sensing, computation, control, and energy-delivering fu…

First IACT Waveform Analysis Based on Deep Convolutional Neural Networks Using CTLearn
T. Miener (for the CTAO-LST project), L. Burmistrov (for the CTAO-LST project), B. Lacave (for the CTAO-LST project), A. Cervi\~no (for the CTAO-LST project)
https://arxiv.org/abs/2509.15010

First IACT Waveform Analysis Based on Deep Convolutional Neural Networks Using CTLearn
Imaging atmospheric Cherenkov telescopes (IACTs) detect extended air showers (EASs) generated when very-high-energy (VHE) gamma rays or cosmic rays interact with the Earth's atmosphere. Cherenkov photons produced during an EAS are captured by fast-imaging cameras, which record both the spatial and temporal development of the shower, along with calorimetric data. By analyzing these recordings, the properties of the original VHE particle-such as its type, energy, and direction of arrival-can be r…

FusionMAE: large-scale pretrained model to optimize and simplify diagnostic and control of fusion plasma
Zongyu Yang, Zhenghao Yang, Wenjing Tian, Jiyuan Li, Xiang Sun, Guohui Zheng, Songfen Liu, Niannian Wu, Rongpeng Li, Zhaohe Xu, Bo Li, Zhongbing Shi, Zhe Gao, Wei Chen, Xiaoquan Ji, Min Xu, Wulyu Zhong
https://arxiv.org/abs/2509.12945…

FusionMAE: large-scale pretrained model to optimize and simplify diagnostic and control of fusion plasma
In magnetically confined fusion device, the complex, multiscale, and nonlinear dynamics of plasmas necessitate the integration of extensive diagnostic systems to effectively monitor and control plasma behaviour. The complexity and uncertainty arising from these extensive systems and their tangled interrelations has long posed a significant obstacle to the acceleration of fusion energy development. In this work, a large-scale model, fusion masked auto-encoder (FusionMAE) is pre-trained to compre…

Recent Advancements in the Development of Two-dimensional Transition Metal Dichalcogenides (TMDs) and their potential application
Mitesh B. Solanki, Margi Jani
https://arxiv.org/abs/2509.12940

Recent Advancements in the Development of Two-dimensional Transition Metal Dichalcogenides (TMDs) and their potential application
This article explores the recent advancements in atomically thin two-dimensional transition metal dichalcogenides (2D TMDs) and their potential applications in various fields, including nanoelectronics, photonics, sensing, energy storage, and optoelectronics. Specifically, the focus is on TMDs such as MoS2, WS2, MoSe2, and WSe2, promising for next-generation electronics and optoelectronics devices based on ultra-thin atomic layers. One of the main challenges in utilising TMDs for practical appl…

Unity based virtual reality for detector and event visualization in JUNO experiment
Kai-Xuan Huang, Tian-Zi Song, Yu-Ning Su, Cheng-Xin Wu, Xue-Sen Wang, Yu-Mei Zhang, Zheng-Yun You
https://arxiv.org/abs/2509.16285

Unity based virtual reality for detector and event visualization in JUNO experiment
Detector and event visualization are crucial components of high-energy physics~(HEP) experimental software. Virtual Reality~(VR) technologies and multimedia development platforms such as Unity offer enhanced display effects and flexible extensibility for visualization in HEP experiments. In this study, we present a VR-based method for detector and event displays in the Jiangmen Underground Neutrino Observatory~(JUNO) experiment. This method shares the same detector geometry descriptions and eve…

An event visualization software based on Phoenix for the CEPC experiment
Yu-Jie Zeng, Tian-Zi Song, Xue-Sen Wang, Yu-Mei Zhang, Tao Lin, Zheng-Yun You
https://arxiv.org/abs/2509.17118

An event visualization software based on Phoenix for the CEPC experiment
In high-energy physics~(HEP) experiments, visualization software plays a pivotal role in detector design, offline software development, and event data analysis. The visualization tools integrate detailed detector geometry with complex event data models, providing the researchers with invaluable insights into experimental results. Phoenix is an emerging general-purpose visualization platform for the current and next-generation HEP experiments. In this study, we develop an event display software …

"China building 1.8 GW offshore PV project in Bohai Sea"
#China #SolarPower #Energy #Renewables…

China building 1.8 GW offshore PV project in Bohai Sea
A state-led 1.8 GW offshore PV plan in Changli, China's Hebei province, is set to become a model for large-scale marine solar development, with completion targeted by mid-2026.

Towards a deeper fundamental understanding of (Al,Sc)N ferroelectric nitrides
Peng Chen, Dawei Wang, Alejandro Mercado Tejerina, Keisuke Yazawa, Andriy Zakutayev, Charles Paillard, Laurent Bellaiche
https://arxiv.org/abs/2509.15050

Towards a deeper fundamental understanding of (Al,Sc)N ferroelectric nitrides
Density Functional Theory (DFT) calculations, within the virtual crystal alloy approximation, are performed, along with the development of a Landau-type model employing a symmetry-allowed analytical expression of the internal energy and having parameters being determined from first principles, to investigate properties and energetics of Al1-xScxN ferroelectric nitrides in their hexagonal forms. These DFT computations and this model predict the existence of two different types of minima, namely …

"Banks fund $65 million for 100 MW solar project in Turkey"
#Turkey #Banks #SolarPower #Energy

Banks fund $65 million for 100 MW solar project in Turkey
The Asian Infrastructure Investment Bank (AIIB) and Industrial Development Bank of Turkey (TSKB) have each contributed $32.5 million toward a senior debt financing package for a 100 MW solar project in southern Turkey.

From Data to Alloys Predicting and Screening High Entropy Alloys for High Hardness Using Machine Learning
Rahul Bouri, Manikantan R. Nair, Tribeni Roy
https://arxiv.org/abs/2509.13479

From Data to Alloys Predicting and Screening High Entropy Alloys for High Hardness Using Machine Learning
The growing need for structural materials with strength, mechanical stability, and durability in extreme environments is driving the development of high entropy alloys. These are materials with near equiatomic mixing of five or more principal elements, and such compositional complexity often leads to improvements in mechanical properties and high thermal stability, etc. Thus, high-entropy alloys have found their applications in domains like aerospace, biomedical, energy storage, catalysis, elec…

"New England says goodbye to coal as Merrimack Station powers down"
#US #USA #America #FossilFuels
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New England Says Goodbye to Coal as Merrimack Station Powers Down - Inside Climate News
After decades of operation, Merrimack Station’s closure marks the region’s final exit from coal—and the start of a new chapter in renewable energy development.