Results 151 to 160 of about 10,083 (229)

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

open access: yesAdvanced 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   +19 more
wiley   +1 more source

Surface Acidity Engineering: From Fundamental Insights to Universal Design Rules for Electrocatalytically and Electrically Active Oxides

open access: yesAdvanced Energy Materials, EarlyView.
This comprehensive review highlights surface acidity engineering as a versatile strategy to modulate surface charge and boost catalytic performance in functional oxides. It explores recent advances in practical implementation, structural reconstruction approaches, and mechanistic origins from diverse complementary viewpoints.
Gyu Rac Lee, Harry L. Tuller
wiley   +1 more source

GraphRAG for engineering diagrams: ChatP&ID enables LLM interaction with P&IDs

open access: yesAIChE Journal, EarlyView.
Abstract Piping and Instrumentation Diagrams (P&IDs) are central to process engineering workflows, yet extracting information from them remains a tedious and time‐consuming task. This work introduces ChatP&ID, a framework enabling natural‐language interaction with smart P&IDs through Graph Retrieval‐Augmented Generation (GraphRAG), to our knowledge ...
Achmad Anggawirya Alimin   +1 more
wiley   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang   +3 more
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia   +1 more
wiley   +1 more source

Learning analysis of health system resilience. [PDF]

open access: yesHealth Policy Plan
Thu KM, Bernays S, Abimbola S.
europepmc   +1 more source

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