Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Joseph B. Choi"'
Autor:
Phong C. H. Nguyen, Yen-Thi Nguyen, Joseph B. Choi, Pradeep K. Seshadri, H. S. Udaykumar, Stephen S. Baek
Publikováno v:
Science Advances. 9
The thermo-mechanical response of shock-initiated energetic materials (EMs) is highly influenced by their microstructures, presenting an opportunity to engineer EM microstructures in a “materials-by-design” framework. However, the current design
Many mechanical engineering applications call for multiscale computational modeling and simulation. However, solving for complex multiscale systems remains computationally onerous due to the high dimensionality of the solution space. Recently, machin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91c5dc18a6997e0a419c55acb56ff367
http://arxiv.org/abs/2303.12261
http://arxiv.org/abs/2303.12261
Publikováno v:
Propellants, Explosives, Pyrotechnics. 48
Autor:
Phong C. H Nguyen, Yen‐Thi Nguyen, Pradeep K. Seshadri, Joseph B. Choi, H. S Udaykumar, Stephen Baek
Predictive simulations of the shock-to-detonation transition (SDT) in heterogeneous energetic materials (EM) are vital to the design and control of their energy release and sensitivity. Due to the complexity of the thermo-mechanics of EM during the S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0bfa6c971564ba3ec116e118f462e00
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-15 (2020)
Scientific Reports
Scientific Reports
The sensitivity of heterogeneous energetic (HE) materials (propellants, explosives, and pyrotechnics) is critically dependent on their microstructure. Initiation of chemical reactions occurs at hot spots due to energy localization at sites of porosit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d4d562181b95dd5316ea3af82a7265f
http://arxiv.org/abs/2004.04814
http://arxiv.org/abs/2004.04814
NADS-Net: A Nimble Architecture for Driver and Seat Belt Detection via Convolutional Neural Networks
Autor:
Joseph B. Choi, John G. Gaspar, Stephen Baek, Nima Hamidi Ghalehjegh, Chris Schwarz, Daniel V. McGehee, Sehyun Chun
Publikováno v:
ICCV Workshops
A new convolutional neural network (CNN) architecture for 2D driver/passenger pose estimation and seat belt detection is proposed in this paper. The new architecture is more nimble and thus more suitable for in-vehicle monitoring tasks compared to ot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afaa9c25e157eaedb71d292151c2912b