MICROSIM: A high performance phase-field solver based on CPU and GPU implementations
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arXiv
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| Auteurs principaux: | , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866910393769656320 |
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| author | Dutta, Tanmay Mohan, Dasari Shenoy, Saurav Attar, Nasir Kalokhe, Abhikshek Sagar, Ajay Bhure, Swapnil Pradhan, Swaroop . S. Praharaj, Jitendriya Mridha, Subham Kushwaha, Anshika Shah, Vaishali Gururajan, M. P. Shenoi, V. Venkatesh Phanikumar, Gandham Bhattacharyya, Saswata Choudhury, Abhik |
| author_facet | Dutta, Tanmay Mohan, Dasari Shenoy, Saurav Attar, Nasir Kalokhe, Abhikshek Sagar, Ajay Bhure, Swapnil Pradhan, Swaroop . S. Praharaj, Jitendriya Mridha, Subham Kushwaha, Anshika Shah, Vaishali Gururajan, M. P. Shenoi, V. Venkatesh Phanikumar, Gandham Bhattacharyya, Saswata Choudhury, Abhik |
| contents | The phase-field method has become a useful tool for the simulation of classical metallurgical phase transformations as well as other phenomena related to materials science. The thermodynamic consistency that forms the basis of these formulations lends to its strong predictive capabilities and utility. However, a strong impediment to the usage of the method for typical applied problems of industrial and academic relevance is the significant overhead with regard to the code development and know-how required for quantitative model formulations. In this paper, we report the development of an open-source phase-field software stack that contains generic formulations for the simulation of multi-phase and multi-component phase transformations. The solvers incorporate thermodynamic coupling that allows the realization of simulations with real alloys in scenarios directly relevant to the materials industry. Further, the solvers utilize parallelization strategies using either multiple CPUs or GPUs to provide cross-platform portability and usability on available supercomputing machines. Finally, the solver stack also contains a graphical user interface to gradually introduce the usage of the software. The user interface also provides a collection of post-processing tools that allow the estimation of useful metrics related to microstructural evolution. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_01035 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | MICROSIM: A high performance phase-field solver based on CPU and GPU implementations Dutta, Tanmay Mohan, Dasari Shenoy, Saurav Attar, Nasir Kalokhe, Abhikshek Sagar, Ajay Bhure, Swapnil Pradhan, Swaroop . S. Praharaj, Jitendriya Mridha, Subham Kushwaha, Anshika Shah, Vaishali Gururajan, M. P. Shenoi, V. Venkatesh Phanikumar, Gandham Bhattacharyya, Saswata Choudhury, Abhik Materials Science Mathematical Physics The phase-field method has become a useful tool for the simulation of classical metallurgical phase transformations as well as other phenomena related to materials science. The thermodynamic consistency that forms the basis of these formulations lends to its strong predictive capabilities and utility. However, a strong impediment to the usage of the method for typical applied problems of industrial and academic relevance is the significant overhead with regard to the code development and know-how required for quantitative model formulations. In this paper, we report the development of an open-source phase-field software stack that contains generic formulations for the simulation of multi-phase and multi-component phase transformations. The solvers incorporate thermodynamic coupling that allows the realization of simulations with real alloys in scenarios directly relevant to the materials industry. Further, the solvers utilize parallelization strategies using either multiple CPUs or GPUs to provide cross-platform portability and usability on available supercomputing machines. Finally, the solver stack also contains a graphical user interface to gradually introduce the usage of the software. The user interface also provides a collection of post-processing tools that allow the estimation of useful metrics related to microstructural evolution. |
| title | MICROSIM: A high performance phase-field solver based on CPU and GPU implementations |
| topic | Materials Science Mathematical Physics |
| url | https://arxiv.org/abs/2404.01035 |