Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
High performance computational chemistry: An overview of NWChem a distributed parallel application [PDF]
Ricky A. Kendall+12 more
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Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review
Low‐activation compositionally complex alloys (LACCAs) are advanced metallic materials primarily composed of low‐activation elements, offering advantages such as rapid compliance with operational standards and safe recyclability. This review highlights their potential for extreme high‐temperature irradiation environments as structural materials for ...
Yangfan Wang+8 more
wiley +1 more source
Computational chemistry on Fujitsu vector–parallel processors: Development and performance of applications software [PDF]
Alistair P. Rendell+8 more
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The role of various alloying elements in face‐centered cubic aluminum on the barrier of a Shockley partial dislocation during its motion is presented. The study aims to understand how alloying atoms such as Mg, Si, and Zr affect the energy landscape for dislocation motion, thus influencing the solid solution hardening and softening in aluminum, which ...
Inna Plyushchay+3 more
wiley +1 more source
Donor-Acceptor Conjugated Macrocycles with Polyradical Character and Global Aromaticity
Summary: Polyradical character and global aromaticity are fundamental concepts that govern the rational design of cyclic conjugated macromolecules for optoelectronic applications.
Md Abdus Sabuj+2 more
doaj
Ionization characteristics and chemical influences of aspartic acid residue 158 of papain and caricain determined by structure-related kinetic and computational techniques: multiple electrostatic modulators of active-centre chemistry [PDF]
Michael Noble+3 more
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This study presents a 3D representative volume element‐based simulation approach to predict mesoscopic residual stress and strain fields in silicon solid solution‐strengthened ductile cast iron. By modeling phase transformation kinetics with an enhanced Johnson–Mehl–Avrami–Kolmogorov model, the effects of varying cooling rates on residual stresses are ...
Lutz Horbach+6 more
wiley +1 more source
Linear-Scaling Quantum Circuits for Computational Chemistry. [PDF]
Magoulas I, Evangelista FA.
europepmc +1 more source
This study explores the effects of pixel size and spacing when fabricating electroluminescent (EL) multipixel displays. COMSOL simulations identify the impact of pixel dimensions and spacing on electric field distribution and lighting efficiency. Flexible, high‐resolution EL pixel arrays are reverse offset printed, achieving a 96% reduction in pixel ...
Huanghao Dai+3 more
wiley +1 more source