Search Results - "Choi, Joseph B."

1

Academic Journal

Artificial Intelligence Approaches for Energetic Materials by Design: State of the Art, Challenges, and Future Directions.

Authors: Choi, Joseph B, Nguyen, Phong C. H., Sen, Oishik, Udaykumar, H. S., Baek, Stephen

Source: Propellants, Explosives, Pyrotechnics; Apr2023, Vol. 48 Issue 4, p1-24, 24p

Subject Terms: ARTIFICIAL intelligence, MACHINE learning, DESCRIPTOR systems, COMPUTATIONAL complexity, CAPABILITIES approach (Social sciences), COMPOSITE materials

2

Academic Journal

A Physics‐Aware Deep Learning Model for Energy Localization in Multiscale Shock‐To‐Detonation Simulations of Heterogeneous Energetic Materials.

Authors: Nguyen, Phong C. H, Nguyen, Yen‐Thi, Seshadri, Pradeep K., Choi, Joseph B., Udaykumar, H. S, Baek, Stephen

Source: Propellants, Explosives, Pyrotechnics; Apr2023, Vol. 48 Issue 4, p1-13, 13p

Subject Terms: DEEP learning, INHOMOGENEOUS materials, CONVOLUTIONAL neural networks, RECURRENT neural networks, MULTISCALE modeling

3

Artificial intelligence approaches for materials-by-design of energetic materials: state-of-the-art, challenges, and future directions

Authors: Choi, Joseph B., Nguyen, Phong C. H., Sen, Oishik, Udaykumar, H. S., Baek, Stephen

Subject Terms: FOS: Computer and information sciences, Condensed Matter - Materials Science, Computer Science - Machine Learning, Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, Machine Learning (cs.LG)

Access URL: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90a7f5ca506f0a731723f0aca2bad338
http://arxiv.org/abs/2211.08179

4

Periodical

Challenges and Opportunities for Machine Learning in Multiscale Computational Modeling

Authors: Nguyen, Phong C. H., Choi, Joseph B., Udaykumar, H. S., Baek, Stephen

Source: Journal of Computing and Information Science in Engineering; December 2023, Vol. 23 Issue: 6 p060808-060808, 1p

5

Academic Journal

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

Authors: Chun, Sehyun, Roy, Sidhartha, Nguyen, Yen Thi, Choi, Joseph B., Udaykumar, H. S., Baek, Stephen S.

Source: Scientific Reports; 8/6/2020, Vol. 10 Issue 1, p1-15, 15p

Subject Terms: DEEP learning, MICROSTRUCTURE, FIREWORKS, PROPELLANTS, EXPLOSIVES

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6

Academic Journal

PARC: Physics-aware recurrent convolutional neural networks to assimilate meso scale reactive mechanics of energetic materials.

Authors: Nguyen PCH; School of Data Science, University of Virginia, Charlottesville, VA 22903, USA., Nguyen YT; Department of Mechanical Engineering, University of Iowa, Iowa City, IA 52242, USA., Choi JB; School of Data Science, University of Virginia, Charlottesville, VA 22903, USA., Seshadri PK; Department of Mechanical Engineering, University of Iowa, Iowa City, IA 52242, USA., Udaykumar HS; Department of Mechanical Engineering, University of Iowa, Iowa City, IA 52242, USA., Baek SS; School of Data Science, University of Virginia, Charlottesville, VA 22903, USA.; Department of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA 22903, USA.

Source: Science advances [Sci Adv] 2023 Apr 28; Vol. 9 (17), pp. eadd6868. Date of Electronic Publication: 2023 Apr 28.

Publication Type: Journal Article

Journal Info: Publisher: American Association for the Advancement of Science Country of Publication: United States NLM ID: 101653440 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2375-2548 (Electronic) Linking ISSN: 23752548 NLM ISO Abbreviation: Sci Adv Subsets: PubMed not MEDLINE; MEDLINE

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