Results 41 to 50 of about 10,909,381 (195)
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
Advanced 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
Advanced Intelligent Discovery, EarlyView.Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley +1 more source
An Online Monitoring Scheme for the Earth Resistance of a Common Earth Electrode
EnergiesHigh-voltage direct current (HVDC) transmission is ideal for long-distance, large-capacity power delivery. A DC common earth electrode can be used for multiple DC lines, reducing the difficulty of land acquisition and lowering investment in grounding ...
Wei Li +5 more
doaj +1 more source
, 2023 2016 16th International Conference on Ground Penetrating Radar (GPR), 13-16 June 2016, Hong Kong, China202305 bckwAccepted ManuscriptRGCPublishedGreen ...
Sato, M, Lai, WWL, Wong, PTW
core +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
Advanced Intelligent Systems, EarlyView.This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
The Anatomical Record, EarlyView.Abstract The human mandibular symphysis concentrates multiaxial loads during function and remodels throughout growth, but the precise mechanisms underlying cortical bone shape during growth remain relatively unexplored. Approaches based solely on thickness or external cortical contours provide only partial insights and do not capture the functional ...
Ana Ribeiro +3 more
wiley +1 more source
, 2016 16th International Conference of Ground Penetrating Radar, GPR 2016, Hong Kong, 13-16 June 2016A validation study was conducted over a fixed alignment of underground utilities to study the effects of GPR traverse directions on GPR wave velocity ...
Sham, JFC +5 more
core +1 more source
Archaeological Prospection, EarlyView.ABSTRACT This document is a report on the field application of non‐invasive geophysical and robotic prospecting methods at the submerged Neolithic site of La Marmotta (Lake Bracciano, Italy), within the LAHKE (LAke Heritage Knowledge and Exploration) project; the study focuses on the practical validation, adaptation and transfer of existing ...
dell' Erba Ramiro +4 more
wiley +1 more source