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Page 1
Generative and discriminative training of Boltzmann machine through quantum annealing.
Sci Rep. 2023 May 16;13(1):7889. doi: 10.1038/s41598-023-34652-4.
Sci Rep. 2023.
PMID: 37193710
Free PMC article.
Deep learning-accelerated computational framework based on Physics Informed Neural Network for the solution of linear elasticity.
Roy AM, Bose R, Sundararaghavan V, Arróyave R.
Roy AM, et al. Among authors: sundararaghavan v.
Neural Netw. 2023 May;162:472-489. doi: 10.1016/j.neunet.2023.03.014. Epub 2023 Mar 13.
Neural Netw. 2023.
PMID: 36966712
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Methodology for estimation of intrinsic dimensions and state variables of microstructures.
Sundararaghavan V, Shah MN, Simmons JP.
Sundararaghavan V, et al.
Phys Rev E. 2023 Sep;108(3-2):035001. doi: 10.1103/PhysRevE.108.035001.
Phys Rev E. 2023.
PMID: 37849118
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A predictive machine learning approach for microstructure optimization and materials design.
Liu R, Kumar A, Chen Z, Agrawal A, Sundararaghavan V, Choudhary A.
Liu R, et al. Among authors: sundararaghavan v.
Sci Rep. 2015 Jun 23;5:11551. doi: 10.1038/srep11551.
Sci Rep. 2015.
PMID: 26100717
Free PMC article.
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A quantitative study of stress fields ahead of a slip band blocked by a grain boundary in unalloyed magnesium.
Andani MT, Lakshmanan A, Karamooz-Ravari M, Sundararaghavan V, Allison J, Misra A.
Andani MT, et al. Among authors: sundararaghavan v.
Sci Rep. 2020 Feb 20;10(1):3084. doi: 10.1038/s41598-020-59684-y.
Sci Rep. 2020.
PMID: 32080234
Free PMC article.
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