Results 201 to 210 of about 112,373 (246)

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Soil Moisture Inversion in Alfalfa via UAV with Feature Fusion and Ensemble Learning. [PDF]

Plants (Basel)
Chen J, Yin J, Jiang Y, Kang Y, Ma Y, Qi G, Jin C, Xie B, Yu W, Wang Y, Chen J, Zhu J, Li B.   +12 more
europepmc   +1 more source

Electrocatalytic Urea Waste Valorization via Water Electrolysis: Transition‐Metal Phosphides for Sustainable Hydrogen Production

Advanced Energy Materials, EarlyView.
This article provides a comprehensive analysis of transition metal phosphides (TMP) as electrocatalysts for urea‐assisted water electrolysis, highlighting the critical role of phosphorus engineering in modulating electronic structure, optimizing active sites, and enhancing catalytic durability.
Shivalingayya Gaddimath, Varsha Kashanner, Soumya Kulkarni, Vishal Sorathiya, Anitha Bamani, Rajveer Singh Rajaura, Mahaveer Kurkuri, Shambhulinga Aralekallu, Yogendra Kumar Mishra   +8 more
wiley   +1 more source

Applicability analysis of tree-based ensemble learning for air pollutant prediction models. [PDF]

Sci Rep
Zhu X, Li B, Cao Y, Zhang Q.
europepmc   +1 more source

A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation

Advanced Energy Materials, EarlyView.
Isolated characterization techniques produce independent datasets and single‐property insights. However, progressively more holistic interpretations of battery‐material behavior is needed in the future. Here we demonstrate a coordinated multimodal workflow enabling the correlation of heterogeneous datasets and the construction of multidimensional ...
François Cadiou, Cinthya Herrera, Duncan Atkins, Elixabete Ayerbe, Giorgio Baraldi, Stéphanie Belin, Anass Benayad, Didier Blanchard, Federico Capone, Ennio Capria, Isidora Cekic‐Laskovic, Robert Dominko, Kristina Edström, Ajay Gautam, Lukas Helfen, Antonella Iadecola, Quentin Jacquet, Gregor Kapun, Xinyu Li, Aleksandar Matic, Nataliia Mozhzhukhina, Andrew J. Naylor, Poul Norby, Chris O'Keefe, Alexandre Ponrouch, Jean‐Pascal Rueff, Elena Tchernykova, Deyana Tchitchekova, Israel Temprano, Nikita Vostrov, Marnix Wagemaker, Martin Winter, Christian Wölke, Tejs Vegge, Sandrine Lyonnard   +34 more
wiley   +1 more source

Ensemble learning for predicting birth trauma using high-dimensional data in the neonatal intensive care unit. [PDF]

Sci Rep
Odhiambo CO, Parikh N, Kopec G, Cross AR.   +3 more
europepmc   +1 more source

Design Principles of Electrocatalysts for Industrial‐Scale Water Electrolysis

Advanced Energy Materials, EarlyView.
This Review distills electrocatalyst design for industrial‐scale water electrolysis into integrated principles linking active‐site engineering, phase and lattice modulation, interfacial microenvironment regulation and mass‐transport control. By connecting catalyst families with HER/OER mechanisms and practical operating demands, it outlines pathways ...
Hong Tang, Cui Ce, John Wang
wiley   +1 more source

Data-driven prediction of lipophilic drug solubility in supercritical CO₂ using an adaptive ensemble learning architecture. [PDF]

Front Med (Lausanne)
Alqahtani AS, Pishnamazi M.
europepmc   +1 more source

Complementary or Competitive? Emerging Interactions Between Restoration and Protection in the Conservation Reserve Program

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The USDA's Conservation Reserve Program (CRP) delivers environmental benefits to society by enrolling cropland and grasslands to reestablish or safeguard long‐term vegetative cover. In recent years, the CRP has dramatically increased grassland enrollment while cropland enrollment has been in steady decline. This paper uses descriptive analysis,
Wesley Zebrowski, Tyler Lark, Rich Iovanna   +2 more
wiley   +1 more source

Configurable Modular EEG Classification Framework with Multiscale Features and Ensemble Learning: A Reproducible Evaluation for Schizophrenia Detection. [PDF]

Bioengineering (Basel)
Han X, Emara Y, Zhang A, Lin Y, Zhang Y.
europepmc   +1 more source