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Michael N. Sakano

2 papers hereh-index 10329 citations20 works total

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author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci1
  • physics.chem-ph1

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most citedHigh Pressure and Temperature Neural Network Reactive Force Field for Energetic Materials

28 citations · 28 across the 2 of their papers we have counts for

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1 paper · 1 filter

physics.chem-ph2026

A Data-Driven Parametric Reduced-Order Chemical Kinetics Model Derived from Atomistic Simulations

Michael N. Sakano, Alejandro Strachan

Coarse-grained modeling in molecular simulations serves not only to extend accessible time and length scales beyond atomistic limits, but also to reduce high-dimensional chemical d…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.