Joseph B. Choi
According to our database1,
Joseph B. Choi
authored at least 8 papers
between 2019 and 2024.
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Bibliography
2024
FLRONet: Deep Operator Learning for High-Fidelity Fluid Flow Field Reconstruction from Sparse Sensor Measurements.
CoRR, 2024
FLRNet: A Deep Learning Method for Regressive Reconstruction of Flow Field From Limited Sensor Measurements.
CoRR, 2024
2023
Challenges and Opportunities for Machine Learning in Multiscale Computational Modeling.
J. Comput. Inf. Sci. Eng., December, 2023
2022
Artificial intelligence approaches for materials-by-design of energetic materials: state-of-the-art, challenges, and future directions.
CoRR, 2022
A physics-aware deep learning model for energy localization in multiscale shock-to-detonation simulations of heterogeneous energetic materials.
CoRR, 2022
Physics-Aware Recurrent Convolutional (PARC) Neural Networks to Assimilate Meso-scale Reactive Mechanics of Energetic Materials.
CoRR, 2022
2020
Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials.
CoRR, 2020
2019
NADS-Net: A Nimble Architecture for Driver and Seat Belt Detection via Convolutional Neural Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019