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2024
Journal Article
Title
matscipy: materials science at the atomic scale with Python
Abstract
Behaviour of materials is governed by physical phenomena that occur at an extreme range of length and time scales. Computational modelling requires multiscale approaches. Simulation techniques operating on the atomic scale serve as a foundation for such approaches, providing necessary parameters for upper-scale models. The physical models employed for atomic simulations can vary from electronic structure calculations to empirical force fields. However, construction, manipulation and analysis of atomic systems are independent of the given physical model but dependent on the specific application. matscipy implements such tools for applications in materials science, including fracture, plasticity, tribology and electrochemistry.
Author(s)
Shenoy, Lakshmi
University of Warwick, Warwick Centre for Predictive Modelling, School of Engineering
Walter, Michael
University of Freiburg, Cluster of Excellence livMatS, Freiburg Center for Interactive Materials and Bioinspired Technologies
Kermode, James R.
University of Warwick, Warwick Centre for Predictive Modelling, School of Engineering
Zhang, Lei
University of Groningen, Engineering and Technology Institute Groningen, Faculty of Science and Engineering
Project(s)