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Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte using machine-learning interatomic potentials
Li 6 PS 5 Cl is a promising candidate for the solid electrolyte in all-solid-state Li-ion batteries
due to its high ionic conductivity. In applications, this material is in a polycrystalline state with …
due to its high ionic conductivity. In applications, this material is in a polycrystalline state with …
[HTML][HTML] Accurate prediction of structural and mechanical properties on amorphous materials enabled through machine-learning potentials: A case study of silicon …
Ab initio calculations represent the technique of election to study material system, however,
they present severe limitations in terms of the size of the system that can be simulated. Often …
they present severe limitations in terms of the size of the system that can be simulated. Often …
Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability
B Mukhamedov, F Tasnadi, IA Abrikosov - arxiv preprint arxiv:2412.06270, 2024 - arxiv.org
Traditionally, alloying and thermal treatment are considered as the main tools for design of
new materials. Application of first-principles simulations can significantly accelerate the …
new materials. Application of first-principles simulations can significantly accelerate the …
Development of an efficient charge equilibration method for nonlocal neural network potentials with applications in redox chemistry
E Kocer - 2025 - ediss.uni-goettingen.de
This thesis focuses on the development and application of new methodologies for machine
learning potentials in atomistic simulations. The primary contribution of this work is the …
learning potentials in atomistic simulations. The primary contribution of this work is the …
Combining ab‐initio and machine learning techniques for theoretical simulations of hard nitrides at extreme conditions
F Bock - 2024 - diva-portal.org
In this thesis I focus on combining the high accuracy of first-principles calculations with
modern machine learning methods to make large scale investigations of industrially relevant …
modern machine learning methods to make large scale investigations of industrially relevant …
Machine Learning for Advanced Materials Design Across Dimensions
X Jiang - 2024 - search.proquest.com
Metal/ceramic coatings and medium-entropy alloys or high-entropy alloys have received lots
of attention due to their outstanding mechanical properties and resistance of corrosion …
of attention due to their outstanding mechanical properties and resistance of corrosion …