Results 221 to 230 of about 1,222,146 (252)

Study on the influencing factors of photovoltaic siting in coal mining subsidence areas-taking Shanxi Province as an example. [PDF]

Sci Rep
Lu Y, Yan Y, Wang M, Zhou L.
europepmc   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

Is the development of renewable energy projects compatible with rural communities? The case of Eastern China. [PDF]

Front Public Health
Liu Z, Chen A, Liu Y.
europepmc   +1 more source

In Situ Contact Angle Measurement for Autonomous Spin Coating in Self‐Driving Labs

Advanced Intelligent Discovery, EarlyView.
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

Innovative Application of Electroslag Remelting in Inclusion Removal from Silicon Alloys and Silicon Recovery from Waste Photovoltaic Modules. [PDF]

Materials (Basel)
Wu X, Peng H, Zhou J, Pang S, He M, Zheng R, Zhang H, Wang D, Qian G, Wang Z.   +9 more
europepmc   +1 more source

Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs

Advanced Intelligent Discovery, EarlyView.
Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal, Weiyi Gong, Huta Banjade, Qimin Yan   +3 more
wiley   +1 more source

An interpretable statistical approach to photovoltaic power forecasting using factor analysis and ridge regression. [PDF]

Sci Rep
Esen V, Coban B, Kavus BY, Karaca TK, Dindar T, Sarkin AS.   +5 more
europepmc   +1 more source

Crystal Structure Prediction of Inorganic Materials: A Benchmark and Modern Evaluation

Advanced Intelligent Discovery, EarlyView.
Predicting a crystal’s structure from composition alone is a long‐standing challenge in materials discovery. The CSP180 benchmark of 180 inorganic crystals evaluates thirteen crystal structure prediction algorithms requiring no density functional theory (DFT) against DFT‐based baselines across twelve metrics.
Lai Wei, Sadman Sadeed Omee, Rongzhi Dong, Nihang Fu, Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Meiling Xu, Ming Hu, Chris Wolverton, Jianjun Hu   +9 more
wiley   +1 more source

Fabrication Process and Light-Trapping Performance Study of Ultrathin Silicon-Based Solar Cells with Embedded ZnO/Au Heterojunction Nanostructures. [PDF]

Nanomaterials (Basel)
Cao L, Zhuo J, Sun T, Wang P, Xu Q.
europepmc   +1 more source

Assessment of structural stability and power performance for a novel hybrid wind-solar-wave energy system. [PDF]

Sci Rep
Zhang H, Liu X, Cao X, Zhang N, Law AW.
europepmc   +1 more source