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Updated: May 13, 2026

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
Published on: September 17, 2021
relentless: Transparent, reproducible molecular dynamics simulations for optimization
Adithya N Sreenivasan1,2, C Levi Petix3, Zachary M Sherman4
1McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, USA.
Abstract:
relentless is an open-source Python package that enables the optimization of objective functions computed using molecular dynamics simulations. It has a high-level, extensible interface for model parameterization; setting up, running, and analyzing simulations natively in established software packages; and gradient-based optimization. We describe the design and implementation of relentless in the context of relative entropy minimization, and we demonstrate its abilities to design pairwise interactions between particles that form targeted structures. relentless aims to streamline the development of computational materials design methodologies and promote the transparency and reproducibility of complex workflows integrating molecular dynamics simulations.
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