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MAGUS: machine learning and graph theory assisted universal structure searcher
Crystal structure predictions based on first-principles calculations have gained great
success in materials science and solid state physics. However, the remaining challenges …
success in materials science and solid state physics. However, the remaining challenges …
Accelerating the prediction of inorganic surfaces with machine learning interatomic potentials
K Noordhoek, C Bartel - Nanoscale, 2024 - pubs.rsc.org
The surface properties of solid-state materials often dictate their functionality, especially for
applications where nanoscale effects become important. The relevant surface (s) and their …
applications where nanoscale effects become important. The relevant surface (s) and their …
Machine-learning-accelerated simulations to enable automatic surface reconstruction
Understanding material surfaces and interfaces is vital in applications such as catalysis or
electronics. By combining energies from electronic structure with statistical mechanics, ab …
electronics. By combining energies from electronic structure with statistical mechanics, ab …
Two-Dimensional M-Chalcogene Family with Tunable Superconducting, Topological, and Magnetic Properties
C Ding, Q Lu, D Shao, Z Zhang, Y Han, J Wang… - Nano Letters, 2024 - ACS Publications
An interesting question is whether chalcogen atoms can emulate the role of carbon or boron
elements stabilized between two transition metal layers, as observed in MXenes or MBenes …
elements stabilized between two transition metal layers, as observed in MXenes or MBenes …
Intelligent Structure Searching and Designs for Nanoclusters: Effective Units in Atomic Manufacturing
J Gao, L Zhao, Y Chang, Y Zhang, S Qiu… - Advanced Intelligent …, 2024 - Wiley Online Library
Clusters, an aggregation of several to thousands of atoms, molecules, or ions, are the
building blocks of novel functional materials by atomic manufacturing and exhibit excellent …
building blocks of novel functional materials by atomic manufacturing and exhibit excellent …
Effective Field Neural Network
X Liu, Y Zhao, CY Wan, Y Zhang, J Liu - arxiv preprint arxiv:2502.17665, 2025 - arxiv.org
In recent years, with the rapid development of machine learning, physicists have been
exploring its new applications in solving or alleviating the curse of dimensionality in many …
exploring its new applications in solving or alleviating the curse of dimensionality in many …
[PDF][PDF] Intelligent Structure Searching and application designs for Clusters
Clusters, an aggregation of several to thousands of atoms, molecules or ions, are the
building blocks of novel functional materials by atomic manufacturing and exhibit excellent …
building blocks of novel functional materials by atomic manufacturing and exhibit excellent …