Results 141 to 150 of about 8,059 (261)
CFD modeling and sensitivity‐guided design of silicon filament CVD reactors
Abstract Filament‐based chemical vapor deposition (CVD) for silicon (Si) coatings is often treated as an adaptation of planar deposition. But this overlooks fundamental shifts in transport phenomena and reaction kinetics. In filament CVD, the filament acts as a substrate, heat source, and flow disruptor simultaneously. In this work, we ask: What really
G. P. Gakis +8 more
wiley +1 more source
Advanced metric for evaluating the performance of photovoltaic module enhancement techniques using a lifespan, cost and power-based approach. [PDF]
Sultan SM +3 more
europepmc +1 more source
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
In Situ Contact Angle Measurement for Autonomous Spin Coating in Self‐Driving Labs
A vision‐based add‐on transforms commercial spin coaters into autonomous modules of Self‐Driving Labs. Combining a width‐scaled U‐Net with classical geometric analysis, the system simultaneously measures contact angles and estimates substrate pose using a single camera.
Sven Fischer, Micha Hiegle, Holger Röhm
wiley +1 more source
MSW-Mamba-Det: Multi-Scale Windowed State-Space Modeling for End-to-End Defect Detection in Photovoltaic Module Electroluminescence Images. [PDF]
Wang X, Hu H, Hao X, Ma W.
europepmc +1 more source
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley +1 more source
Photovoltaic Module Degradation Detection Using V-P Curve Derivatives and LSTM-Based Classification. [PDF]
Lee CH, Lim SK, Park SJ, Kim BH.
europepmc +1 more source
Interpretable Short‐Term Electric Load Forecasting
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola +6 more
wiley +1 more source
RFE-YOLO: A Study on Photovoltaic Module Fault Detection Algorithm Based on Multimodal Feature Fusion. [PDF]
Guo Y, Wang X, Lin Z.
europepmc +1 more source
ABSTRACT This work discusses the thermal performance of magnetized hybrid nanofluid flow over a variable porous stretchable surface, emphasizing the underlying physical mechanisms governing heat and mass transfer. The Cattaneo–Christov flux model is used in place of Fourier's and Fick's laws to incorporate relaxation effects, ensuring a more realistic ...
Mounirah Areshi +5 more
wiley +1 more source

