Using graph neural network and symbolic regression to model disordered systems
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DOI: 10.1038/s41598-025-05205-8
Abstract: The key to modeling disordered systems lies in accurately simulating atomic trajectories, typically achieved through molecular dynamic (MD) simulation. The accuracy of MD simulations depends on the precision of the interatomic potential function, which dictates… read more here.
Keywords: graph neural; interatomic potential; network symbolic; disordered systems ... See more keywords
Field theory of non-Hermitian disordered systems
Sign Up to like & getrecommendations! Published in 2024 at "Physical Review B"
DOI: 10.1103/physrevb.111.054203
Abstract: The interplay between non-Hermiticity and disorder gives rise to unique universality classes of Anderson transitions. Here, we develop a field-theoretical description of non-Hermitian disordered systems based on fermionic replica nonlinear sigma models. We classify the… read more here.
Keywords: field; nonlinear sigma; non hermitian; disordered systems ... See more keywords