{"title":"Q-POP-IMT:用于模拟量子材料中绝缘体-金属转变过程的开源相场软件","authors":"Yin Shi , Xiaofeng Xu , Xiaoxing Cheng , Saurav Shenoy , Jinchao Xu , Long-Qing Chen","doi":"10.1016/j.cpc.2025.109751","DOIUrl":null,"url":null,"abstract":"<div><div>Insulator-metal transitions in quantum materials have important potential applications in areas such as field-effect transistors and neuromorphic computing. Here we present an initial release of the Q-POP-IMT module, an open-source phase-field software for simulating mesoscopic, nonequilibrium processes of insulator-metal transitions in quantum materials. Q-POP-IMT solves the phase-field equations of evolution that describe insulator-metal transitions at the mesoscale using the finite element method. It currently utilizes the powerful FEniCS library to define and solve finite element problems. Thanks to the finite element method, the code can address general boundary conditions such as a complex integral boundary condition corresponding to one of the most common setups in experiments and applications. We demonstrate the usage of the code through simulating the neuron-like voltage self-oscillation phenomenon in a prototypical correlated material, vanadium dioxide.</div></div><div><h3>Program summary</h3><div><em>Program Title:</em> Quantum Phase-field Open-source Package - Insulator-Metal Transitions (Q-POP-IMT)</div><div><em>CPC Library link to program files:</em> <span><span>https://doi.org/10.17632/p3395559s6.1</span><svg><path></path></svg></span></div><div><em>Developer's repository link:</em> <span><span>https://github.com/DOE-COMMS/Q-POP-Modules</span><svg><path></path></svg></span></div><div><em>Licensing provisions:</em> MIT</div><div><em>Programming language:</em> Python</div><div><em>Nature of problem:</em> Correlated quantum materials often exhibit insulator-metal transitions at high temperatures, which have fascinating applications in neuromorphic computing, field-effect transistors, etc. Understanding insulator-metal transitions and designing their applications require the knowledge of the mesoscopic, nonequilibrium, inhomogeneous processes of such electronic phase transitions.</div><div><em>Solution method:</em> Q-POP-IMT code implements the phase-field equations of insulator-metal transitions in quantum materials, which describe the mesoscopic, nonequilibrium, inhomogeneous dynamics of such phase transitions. It uses the finite element method to solve the coupled nonlinear partial differential equations.</div></div>","PeriodicalId":285,"journal":{"name":"Computer Physics Communications","volume":"315 ","pages":"Article 109751"},"PeriodicalIF":3.4000,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Q-POP-IMT: An open-source phase-field software for simulating insulator-metal transition processes in quantum materials\",\"authors\":\"Yin Shi , Xiaofeng Xu , Xiaoxing Cheng , Saurav Shenoy , Jinchao Xu , Long-Qing Chen\",\"doi\":\"10.1016/j.cpc.2025.109751\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Insulator-metal transitions in quantum materials have important potential applications in areas such as field-effect transistors and neuromorphic computing. Here we present an initial release of the Q-POP-IMT module, an open-source phase-field software for simulating mesoscopic, nonequilibrium processes of insulator-metal transitions in quantum materials. Q-POP-IMT solves the phase-field equations of evolution that describe insulator-metal transitions at the mesoscale using the finite element method. It currently utilizes the powerful FEniCS library to define and solve finite element problems. Thanks to the finite element method, the code can address general boundary conditions such as a complex integral boundary condition corresponding to one of the most common setups in experiments and applications. We demonstrate the usage of the code through simulating the neuron-like voltage self-oscillation phenomenon in a prototypical correlated material, vanadium dioxide.</div></div><div><h3>Program summary</h3><div><em>Program Title:</em> Quantum Phase-field Open-source Package - Insulator-Metal Transitions (Q-POP-IMT)</div><div><em>CPC Library link to program files:</em> <span><span>https://doi.org/10.17632/p3395559s6.1</span><svg><path></path></svg></span></div><div><em>Developer's repository link:</em> <span><span>https://github.com/DOE-COMMS/Q-POP-Modules</span><svg><path></path></svg></span></div><div><em>Licensing provisions:</em> MIT</div><div><em>Programming language:</em> Python</div><div><em>Nature of problem:</em> Correlated quantum materials often exhibit insulator-metal transitions at high temperatures, which have fascinating applications in neuromorphic computing, field-effect transistors, etc. Understanding insulator-metal transitions and designing their applications require the knowledge of the mesoscopic, nonequilibrium, inhomogeneous processes of such electronic phase transitions.</div><div><em>Solution method:</em> Q-POP-IMT code implements the phase-field equations of insulator-metal transitions in quantum materials, which describe the mesoscopic, nonequilibrium, inhomogeneous dynamics of such phase transitions. 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Q-POP-IMT: An open-source phase-field software for simulating insulator-metal transition processes in quantum materials
Insulator-metal transitions in quantum materials have important potential applications in areas such as field-effect transistors and neuromorphic computing. Here we present an initial release of the Q-POP-IMT module, an open-source phase-field software for simulating mesoscopic, nonequilibrium processes of insulator-metal transitions in quantum materials. Q-POP-IMT solves the phase-field equations of evolution that describe insulator-metal transitions at the mesoscale using the finite element method. It currently utilizes the powerful FEniCS library to define and solve finite element problems. Thanks to the finite element method, the code can address general boundary conditions such as a complex integral boundary condition corresponding to one of the most common setups in experiments and applications. We demonstrate the usage of the code through simulating the neuron-like voltage self-oscillation phenomenon in a prototypical correlated material, vanadium dioxide.
Program summary
Program Title: Quantum Phase-field Open-source Package - Insulator-Metal Transitions (Q-POP-IMT)
CPC Library link to program files:https://doi.org/10.17632/p3395559s6.1
Nature of problem: Correlated quantum materials often exhibit insulator-metal transitions at high temperatures, which have fascinating applications in neuromorphic computing, field-effect transistors, etc. Understanding insulator-metal transitions and designing their applications require the knowledge of the mesoscopic, nonequilibrium, inhomogeneous processes of such electronic phase transitions.
Solution method: Q-POP-IMT code implements the phase-field equations of insulator-metal transitions in quantum materials, which describe the mesoscopic, nonequilibrium, inhomogeneous dynamics of such phase transitions. It uses the finite element method to solve the coupled nonlinear partial differential equations.
期刊介绍:
The focus of CPC is on contemporary computational methods and techniques and their implementation, the effectiveness of which will normally be evidenced by the author(s) within the context of a substantive problem in physics. Within this setting CPC publishes two types of paper.
Computer Programs in Physics (CPiP)
These papers describe significant computer programs to be archived in the CPC Program Library which is held in the Mendeley Data repository. The submitted software must be covered by an approved open source licence. Papers and associated computer programs that address a problem of contemporary interest in physics that cannot be solved by current software are particularly encouraged.
Computational Physics Papers (CP)
These are research papers in, but are not limited to, the following themes across computational physics and related disciplines.
mathematical and numerical methods and algorithms;
computational models including those associated with the design, control and analysis of experiments; and
algebraic computation.
Each will normally include software implementation and performance details. The software implementation should, ideally, be available via GitHub, Zenodo or an institutional repository.In addition, research papers on the impact of advanced computer architecture and special purpose computers on computing in the physical sciences and software topics related to, and of importance in, the physical sciences may be considered.