Tootfinder

Yes, at German discount supermarkets, you can purchase a do-it-yourself 'Balkonsolar' system and battery. Simply plug it in and you're ready to go.
However, Aldi Australia offers complete systems: 6 kW solar, a 5.5 kW inverter and a 10 kWh LFP battery, fully installed for AU$7,000 (€4,000)!

Supermarket giant expands rooftop solar and battery offer
Budget supermarket chain Aldi is expanding its residential solar business, opening up sales of its rooftop PV and battery energy storage packages to customers in Australia’s eastern states after a trial in Victoria.

DREAMS: Decentralized Resource Allocation and Service Management across the Compute Continuum Using Service Affinity
Hai Dinh-Tuan, Tien Hung Nguyen, Sanjeet Raj Pandey
https://arxiv.org/abs/2509.07497

DREAMS: Decentralized Resource Allocation and Service Management across the Compute Continuum Using Service Affinity
Modern manufacturing systems require adaptive computing infrastructures that can respond to highly dynamic workloads and increasingly customized production demands. The compute continuum emerges as a promising solution, enabling flexible deployment of microservices across distributed, heterogeneous domains. However, this paradigm also requires a novel approach to resource allocation and service placement, as traditional centralized solutions struggle to scale effectively, suffer from latency bo…

#Rheinmetall plant ein europaweites Netzwerk dezentraler Anlagen zur Herstellung von #EFuels für Militär und kritische Infrastrukturen.
Das Projekt „Giga PtX“ setzt auf grünen #Wasserstoff …

Rheinmetall plant Hunderte E-Fuel-Anlagen für Europas Streitkräfte
Rheinmetall will europäische Streitkräfte mit eigenem E-Fuel versorgen – und plant dafür Hunderte dezentrale Produktionsanlagen.

Energy dependent Chemical Interface Damping induced by 1-Decanethiol Self-Assembled Monolayer on Au(111)
Maurice Pfeiffer, Gregor B. Vonbun-Feldbauer, Jacob B. Khurgin, Olga Matts, Ahmed Shqer, Nadiia Mameka, Manfred Eich, Alexander Petrov
https://arxiv.org/abs/2509.05025

Energy dependent Chemical Interface Damping induced by 1-Decanethiol Self-Assembled Monolayer on Au(111)
The chemical interface damping (CID) effect increases the collision frequency of free electrons in metals by changes of the metal surface. We have now experimentally disentangled the two contributions to CID: induced roughness and direct charge transfer. The latter is an important area of research in photoelectrochemistry with potential applications in light-induced chemical reactions. We present a broadband investigation of the CID effect on Au(111) covered by a self-assembled monolayer of dec…

Disentangling Vortex-driven Dynamics in the Solar Atmosphere Using Information Theory
Suzana S. A. Silva, Erico Rempel, Gary Verth, Istvan Ballai, Viktor Fedun
https://arxiv.org/abs/2509.04329

Disentangling Vortex-driven Dynamics in the Solar Atmosphere Using Information Theory
Solar tornadoes are believed to influence plasma dynamics and create conditions for heating, yet a direct quantitative link is lacking. Here, for the first time, we directly measure vortex-driven dynamics using information-theoretic diagnostics in a Bifrost simulation. By combining Shannon Entropy (SE) and Normalized Mutual Information (NMI), we track how vortices restructure plasma-magnetic interactions and channel energy into heat. The vortex flow originates in the upper photosphere and exten…

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…

reading more about the energia rockets at https://russianspaceweb.com

Towards Fast Option Pricing PDE Solvers Powered by PIELM
Akshay Govind Srinivasan, Anuj Jagannath Said, Sathwik Pentela, Vikas Dwivedi, Balaji Srinivasan
https://arxiv.org/abs/2510.04322

Towards Fast Option Pricing PDE Solvers Powered by PIELM
Partial differential equation (PDE) solvers underpin modern quantitative finance, governing option pricing and risk evaluation. Physics-Informed Neural Networks (PINNs) have emerged as a promising approach for solving the forward and inverse problems of partial differential equations (PDEs) using deep learning. However they remain computationally expensive due to their iterative gradient descent based optimization and scale poorly with increasing model size. This paper introduces Physics-Inform…

Plot'n Polish: Zero-shot Story Visualization and Disentangled Editing with Text-to-Image Diffusion Models
Kiymet Akdemir, Jing Shi, Kushal Kafle, Brian Price, Pinar Yanardag
https://arxiv.org/abs/2509.04446

Plot'n Polish: Zero-shot Story Visualization and Disentangled Editing with Text-to-Image Diffusion Models
Text-to-image diffusion models have demonstrated significant capabilities to generate diverse and detailed visuals in various domains, and story visualization is emerging as a particularly promising application. However, as their use in real-world creative domains increases, the need for providing enhanced control, refinement, and the ability to modify images post-generation in a consistent manner becomes an important challenge. Existing methods often lack the flexibility to apply fine or coars…

Equilibrium Matching: Generative Modeling with Implicit Energy-Based Models
Runqian Wang, Yilun Du
https://arxiv.org/abs/2510.02300 https://arxiv.org/pdf/2…

Equilibrium Matching: Generative Modeling with Implicit Energy-Based Models
We introduce Equilibrium Matching (EqM), a generative modeling framework built from an equilibrium dynamics perspective. EqM discards the non-equilibrium, time-conditional dynamics in traditional diffusion and flow-based generative models and instead learns the equilibrium gradient of an implicit energy landscape. Through this approach, we can adopt an optimization-based sampling process at inference time, where samples are obtained by gradient descent on the learned landscape with adjustable s…