<i>Express</i>: nonstop calculations with the Quantum ESPRESSO
ORAL
Abstract
The intrinsic complexity of ab initio mineral physics studies inspired the development of workflows to automate long and extensive sequences of ab initio calculations [1]. This complexity emerges from the need to sample thermodynamic and chemical phase space for useful geophysical applications. Here we introduce Express, a new generation of Python and Julia workflows designed to facilitate calculations of thermoelastic and thermochemical properties of materials.
Various materials properties can be computed, e.g., static equation of state, phonon density of states, static elasticity, thermal equation of state, and thermodynamic properties. They work either separately or jointly. Each workflow consists of three steps: 1) pre-processing: dynamic generation and validation of input files for the target software; 2) processing: submission, supervision of jobs, and retrieval of results; 3) post-processing: analyses of outputs and error handling.
Express codes are concise and come with user-friendly APIs to be integrated into other codes. It currently supports Quantum ESPRESSO, but other ab initio software is expected to be supported in the future.
[1] da Silveira PRC, da Silva CRS, and Wentzcovitch RM (2008) DOI: 10.1016/j.cpc.2007.09.001
Various materials properties can be computed, e.g., static equation of state, phonon density of states, static elasticity, thermal equation of state, and thermodynamic properties. They work either separately or jointly. Each workflow consists of three steps: 1) pre-processing: dynamic generation and validation of input files for the target software; 2) processing: submission, supervision of jobs, and retrieval of results; 3) post-processing: analyses of outputs and error handling.
Express codes are concise and come with user-friendly APIs to be integrated into other codes. It currently supports Quantum ESPRESSO, but other ab initio software is expected to be supported in the future.
[1] da Silveira PRC, da Silva CRS, and Wentzcovitch RM (2008) DOI: 10.1016/j.cpc.2007.09.001
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Presenters
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Qi Zhang
Department of Applied Physics and Mathematics, Columbia University
Authors
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Qi Zhang
Department of Applied Physics and Mathematics, Columbia University
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Michel Marcondes
Department of Earth and Environmental Sciences, Columbia University
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Hongjin Wang
Department of Computer Science, Columbia University
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Jingyi Zhuang
Department of Earth and Environmental Sciences, Columbia University
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Pedro da Silveira
Department of Applied Physics and Mathematics, Columbia University
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Renata Wentzcovitch
Columbia Univ, Department of Applied Physics and Applied Mathematics, Columbia University, Department of Applied Physics and Mathematics, Columbia University, Columbia University