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Recent Advances in Machine Learning‐Assisted Multiscale Design of Energy Materials
This review highlights recent advances in machine learning (ML)‐assisted design of energy
materials. Initially, ML algorithms were successfully applied to screen materials databases …
materials. Initially, ML algorithms were successfully applied to screen materials databases …
[HTML][HTML] Fitting to magnetic forces improves the reliability of magnetic Moment Tensor Potentials
We developed a method for fitting machine-learning interatomic potentials with magnetic
degrees of freedom, namely, magnetic Moment Tensor Potentials (mMTP). The main feature …
degrees of freedom, namely, magnetic Moment Tensor Potentials (mMTP). The main feature …
Efficient prediction of potential energy surface and physical properties with Kolmogorov-Arnold Networks
The application of machine learning methodologies for predicting properties within materials
science has garnered significant attention. Among recent advancements, Kolmogorov …
science has garnered significant attention. Among recent advancements, Kolmogorov …
Analysis of Stability and Mechanical Properties of Al-Cr-Fe-Co-Ni-Cu HEA Based on Machine Learning
A machine learning (ML) interatomic potential was developed to predict the behavior of
complex high-entropy alloys (HEAs) containing Al, Cr, Fe, Co, Ni, and Cu. This ML potential …
complex high-entropy alloys (HEAs) containing Al, Cr, Fe, Co, Ni, and Cu. This ML potential …
Actively-trained magnetic Moment Tensor Potentials reproduce mechanical, dynamical, and thermal properties of paramagnetic CrN
We present a protocol for automated fitting of magnetic Moment Tensor Potential explicitly
including magnetic moments in its functional form. For the fitting of this potential we use …
including magnetic moments in its functional form. For the fitting of this potential we use …
Structural and Magnetic Properties of Ceramic Ferrous Cofexo2x and Znfexo2x Oxide Powders
C Mosiori, FO Oketch, OO Bornvince - Available at SSRN 5078462 - papers.ssrn.com
Abstract We have synthesized [[EQUATION]] and [[EQUATION]] using wet chemical method
and investigated its structures, phases, particle shapes and magnetic properties. The …
and investigated its structures, phases, particle shapes and magnetic properties. The …