ScaleLat: A chemical structure matching algorithm for mapping atomic structure of multi-phase system and high entropy alloys
Nan Li, Junming Guo, Sateng Li, Haoliang Liu, Qianwu Li, Fangjie Shi,, Yefei Li, Bing Xiao

TL;DR
ScaleLat is a novel computational tool that efficiently maps complex atomic structures of multi-phase systems and high entropy alloys to smaller, manageable supercells, enabling detailed quantum mechanical analysis.
Contribution
It introduces a unique chemical structure matching algorithm that reduces large atomic configurations to smaller representative supercells for advanced property calculations.
Findings
Successfully analyzed Fe-Cr binary alloy structures.
Effectively mapped high entropy alloy microstructures.
Facilitated quantum mechanical property studies.
Abstract
ScaleLat (Scale Lattice) is a computer program written in C for performing the atomic structure analysis of multi-phase system or high entropy alloys (HEAs). The program implements an atomic cluster extraction algorithm to obtain all independent and symmetry-reduced characteristic chemical structures for the complex atomic configurations which are usually obtained from molecular dynamics or kinetic Monte-Carlo simulations for supercell containing more than 104 atoms. ScaleLat employes an efficient and unique chemical structure matching algorithm to map all extracted atomic clusters from a large supercell (>10^4 atoms) to a representative small one (~ 10^3 or less), providing the possibility to directly use the highly accurate quantum mechanical methods to study the electronic, magnetic, and mechanical properties of multi-component alloys with complex microstructures. We demonstrate the…
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Taxonomy
TopicsAdvanced Materials Characterization Techniques · High Entropy Alloys Studies · High-Temperature Coating Behaviors
