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
Environmental Data Do Not Correlate With Plant Genetic Diversity in Alpine Ecosystems. [PDF]
Blanco-Pastor JL+10 more
europepmc +1 more source
The inverse mean curvature flow in ARW spaces--transition from big crunch to big bang
Claus Gerhardt
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Long-time existence of mean curvature flow with external force fields [PDF]
Huaiyu Jian, Yannan Liu
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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
A shape control method for soap bubble simulation using external forces. [PDF]
Horimoto A+3 more
europepmc +1 more source
The mean curvature flow approach to the symplectic isotopy problem
Xiaoli Han, Jiayu Li
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Quasi-local mass functionals and generalized inverse mean curvature flow [PDF]
Jeffrey Streets
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This study explores aerosol jet‐printed (AJP) surface roughness, its effects on the performance of microwave electronics, and its process contributors. First, an electromagnetic model is vetted for AJP's unique roughness signature. Simulations are built which show process‐induced roughness is as significant as conductor resistivity in driving microwave
Christopher Areias, Alkim Akyurtlu
wiley +1 more source
Axial length to corneal curvature radius ratio is negatively correlated with choroidal blood flow in myopic children. [PDF]
Ye Y, Hu Z, Su N, Shen Y, Yuan S.
europepmc +1 more source