KIM REVIEW
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KIM REVIEW
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Commentaries on key articles in the domain of classical molecular simulations. Target articles represent critical new or foundational contributions to the field.
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The Transformative Capability of Quantum-Accurate Machine Learning Interatomic Potentials

Alfredo Correa and Sebastien Hamel on Nguyen et al. (J Phys Chem Lett 2024), and contributions to research on atomic interactions under extreme pressure and temperature conditions
kimreview.org/commentaries...
May 29, 2025 at 7:26 PM
From GAP to ACE to MACE

Noam Bernstein on extensions to the Gaussian approximation potential (GAP) formalism, as well as atomic cluster expansion and multilayer NN extension-based frameworks that maintain the good features and mitigate the limitations of the GAP approach.

doi.org/10.25950/67c...
April 4, 2025 at 6:31 PM
Present and future of atomistic simulations of dislocation plasticity

F Maresca, E van der Giessen

On Zepeda-Ruiz et al. (Nat. Mater. 2021): what ultra-large-scale atomistic simulations can teach us about plastic deformation of metallic single crystals...
kimreview.org/commentaries...
April 4, 2025 at 6:22 PM
Boltzmann Generators and the New Frontier of Computational Sampling in Many-Body Systems

A Coretti, S Falkner, J Weinreich, C Dellago, O A von Lilienfeld

On Noé et al. (Science, 2021) and the necessity for a new generation of sampling methods beyond molecular dynamics
kimreview.org/commentaries...
April 4, 2025 at 6:15 PM
Ultra-sensitive binding response
by Stefano Angioletti-Uberti, Tine Curk

On the physical origins of superselectivity and how combinatorial entropy provides a fruitful point of view to understand ultra-sensitive responses involving multivalent agents

kimreview.org/commentaries...
April 4, 2025 at 5:35 PM
ParSplice: strong exa-scaling of molecular dynamics

ParSplice is a molecular dynamics method for parallel-in-time trajectory generation, allowing this workhorse of in silico science to strong scale on massively parallel computers...

kimreview.org/commentaries...
April 4, 2025 at 4:16 PM
On the Atomic Cluster Expansion: interatomic potentials and beyond

ACE is being used extensively in newly emerging interatomic potentials based on machine learning. This commentary discusses the ACE framework and its potential impact.

kimreview.org/commentaries...
April 4, 2025 at 4:07 PM