Results 101 to 110 of about 4,299,358 (286)

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, Christian Mark Pelicano   +1 more
wiley   +1 more source

Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction

Advanced Intelligent Discovery, EarlyView.
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong, Lejia Wang, Tianqing Zhu, Keith Butler, Sichao Li   +4 more
wiley   +1 more source

Coulomb excitation and break up [PDF]

, 1988
Break up processes involving a three body system in the Coulomb field are studied. A method is developed for the realistic treatment of such a system, and is applied to the break up of the nucleus, 7Li.
Fatemian, Marzieh., Fatemian, M, Fatemian, Marzieh   +2 more
core   +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, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Generalized Chemical Model for Warm Dense Hydrogen: Ionization Potential Depression and Molecular Dissociation Shifts

Contributions to Plasma Physics, EarlyView.
ABSTRACT Warm dense matter (WDM) is a complex state, where quantum effects, thermal excitations, and strong interparticle correlations coexist. Understanding its microscopic composition and medium‐induced modifications of atomic and molecular properties is essential for planetary modeling, fusion research, and high‐energy‐density experiments.
L. T. Yerimbetova, Yu. V. Arkhipov, Ye. S. Mukhametkarimov, A. E. Davletov, I. M. Tkachenko   +4 more
wiley   +1 more source

Thermo-mechanical analysis of wellbore stability in ultra-deep formations

Journal of Rock Mechanics and Geotechnical Engineering
Wellbore stability is crucial for ultra-deep wells operating under high temperature and high stress conditions. To analyze the effects of thermal shock and horizontal stress on wellbore stability, a series of true triaxial compression experiments and ...
Yang Yang, Qian Wang, Fujian Yang, Dawei Hu, Yunhu Lu, Hui Zhou   +5 more
doaj   +1 more source

Pore fluid pressure, apparent friction, and Coulomb failure [PDF]

, 2000
Many recent studies of stress-triggered seismicity rely on a fault failuremodel with a single free parameter, the apparent coefficient of friction, presumed to be a material constant with possible values 0 ≤ μ \u27 ≤ 1.
Beeler, N. M., Hickman, S. H., Simpson, R. W., Lockner, D. A.   +3 more
core  

Generalized Matsuoka–Nakai criterion considering hydrostatic pressure dependence in the brittle–ductile region

Deep Underground Science and Engineering, EarlyView.
Three sets of strength data were selected, including hydrostatic pressure independent within the brittle region (HPI‐B), hydrostatic pressure dependent within the brittle region (HPD‐B), and hydrostatic pressure dependent within the brittle–ductile region (HPD‐BD). For HPI type, the failure envelope within the deviatoric plane remains constant.
Jiacun Liu, Junjie Xiao, Dongping Liu, Ying Xu   +3 more
wiley   +1 more source

Slip versus dilation tendency parameter space as a tool for prospecting structurally controlled geothermal systems in greenfield: insights from the greater Ruhr region

Deep Underground Science and Engineering, EarlyView.
This study highlights that with the static and time‐dependent evolution of slip versus dilation tendency parameter space, structurally controlled deep geothermal systems can be selected within areas of higher permeability and lower seismic hazard. Abstract Faults play a vital role in the Earth's hydraulic system by facilitating fluid flow when dilating
Michal Kruszewski, Alessandro Verdecchia, Oliver Heidbach, Rebecca M. Harrington, David Healy   +4 more
wiley   +1 more source

Static stress transfer from the May 20, 2012, M 6.1 Emilia-Romagna (northern Italy) earthquake using a co-seismic slip distribution model

Annals of Geophysics, 2012
We model the static stress transfer for the May 2012 northern Italy earthquakes, assuming that failure of the crust occurs by shear. This allows the mechanics of the process to be approximated by the Okada (1992) expressions for displacement and strain ...
Athanassios Ganas, Zafeiria Roumelioti, Konstantinos Chousianitis   +2 more
doaj   +1 more source