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Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials.

S. Chun, S. Roy, Y. Nguyen, J. Choi, H. Udaykumar, and S. Baek. CoRR, (2020)

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Horst S H Seifert

Cyrano S H Bergmann

Horst S H Seifert

Guenther H S Mueller

Horst S H Seifert

Other publications of authors with the same name

Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials.S. Chun, S. Roy, Y. Nguyen, J. Choi, H. Udaykumar, and S. Baek. CoRR, (2020)Evaluation of convergence behavior of metamodeling techniques for bridging scales in multi-scale multimaterial simulation.O. Sen, S. Davis, G. Jacobs, and H. Udaykumar. J. Comput. Phys., (2015)A sharp-interface method for the simulation of shock-induced vaporization of droplets.P. Das, and H. Udaykumar. J. Comput. Phys., (2020)Simulation of high speed impact, penetration and fragmentation problems on locally refined Cartesian grids.S. Sambasivan, A. Kapahi, and H. Udaykumar. J. Comput. Phys., (2013)Artificial intelligence approaches for materials-by-design of energetic materials: state-of-the-art, challenges, and future directions.J. Choi, P. Nguyen, O. Sen, H. Udaykumar, and S. Baek. CoRR, (2022)PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling.P. Nguyen, X. Cheng, S. Azarfar, P. Seshadri, Y. Nguyen, M. Kim, S. Choi, H. Udaykumar, and S. Baek. CoRR, (2024)Physics-Aware Recurrent Convolutional (PARC) Neural Networks to Assimilate Meso-scale Reactive Mechanics of Energetic Materials.P. Nguyen, J. Choi, Y. Nguyen, P. Seshadri, H. Udaykumar, and S. Baek. CoRR, (2022)Challenges and opportunities for machine learning in multiscale computational modeling.P. Nguyen, J. Choi, H. Udaykumar, and S. Baek. CoRR, (2023)A three-dimensional sharp interface Cartesian grid method for solving high speed multi-material impact, penetration and fragmentation problems.A. Kapahi, S. Sambasivan, and H. Udaykumar. J. Comput. Phys., (2013)Evaluation of multifidelity surrogate modeling techniques to construct closure laws for drag in shock-particle interactions.O. Sen, N. Gaul, K. Choi, G. Jacobs, and H. Udaykumar. J. Comput. Phys., (2018)

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Disambiguation of "Udaykumar, H. S."

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Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials.

Please choose a person to relate this publication to

Horst S H Seifert

Cyrano S H Bergmann

Horst S H Seifert

Guenther H S Mueller

Horst S H Seifert

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Udaykumar, H. S."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials.

Please choose a person to relate this publication to

Horst S H Seifert

Cyrano S H Bergmann

Horst S H Seifert

Guenther H S Mueller

Horst S H Seifert

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials.