Extending Graph-based Lattice Kinetic Monte Carlo Simulations to Polymer Transformations: A Tutorial Perspective

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Publication Details

Journal
Cambridge Materials Circularity
Published
2026-06-29
DOI
https://doi.org/10.1017/s2978168x26000027
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00

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article

Extending Graph-based Lattice Kinetic Monte Carlo Simulations to Polymer Transformations: A Tutorial Perspective

Tibor Szilvási, Sophia Ezendu
Cambridge Materials Circularity
Machine Learning in Materials Science
article

Extending Graph-based Lattice Kinetic Monte Carlo Simulations to Polymer Transformations: A Tutorial Perspective

Tibor Szilvási, Sophia Ezendu
article en

Abstract

No abstract available for this paper.
Cambridge Materials Circularity
University of Alabama (US)
National Science Foundation, National Energy Research Scientific Computing Center, Office of Science, Lawrence Berkeley National Laboratory
Openalex Percentile: Top 17%
Machine Learning in Materials Science
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