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physics.flu-dyncs.LGcs.AIphysics.comp-phcond-mat.mtrl-scics.NAmath.NAmath.OC

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published · living versions

Preprints & journals

10 papers in the corpus · 2020–2025
Learning Rarefied Gas Dynamics with Physics-Enforced Neural Networks2509.06231v1 · Ehsan Roohi, Ahmad Shoja-Sani, Bijan Goshayeshi et al.2025 · 0 citationsarXiv
Crack Path Prediction with Operator Learning using Discrete Particle System data Generation2506.01976v2 · Elham Kiyani, Venkatesh Ananchaperumal, Ahmad Peyvan et al.2025 · 6 citationsarXiv
Hypersonic Boundary Layer Transition and Heat Loading2407.02311v1 · Ahmad Peyvan, Luis Bravo, Anindya Ghoshal et al.2024 · 0 citationsarXiv
Transformers as Neural Operators for Solutions of Differential Equations with Finite Regularity2405.19166v1 · Benjamin Shih, Ahmad Peyvan, Zhongqiang Zhang et al.2024 · 37 citationsarXiv
RiemannONets: Interpretable Neural Operators for Riemann Problems2401.08886v2 · Ahmad Peyvan, Vivek Oommen, Ameya D. Jagtap et al.2024 · 40 citationsarXiv
High-Order Methods for Hypersonic Flows with Strong Shocks and Real Chemistry2211.12635v1 · Ahmad Peyvan, Khemraj Shukla, Jesse Chan et al.2022 · 26 citationsarXiv
Computer simulation of the SARS-CoV-2 contamination risk in a large dental clinic.33897241 · Komperda, Jonathan, Peyvan, Ahmad, Li, Dongru et al.2024 · 85 citationsPhysics of fluids (Woodbury, N.Y. : 1994). 2021;33(3):033328
Career total: 26 works. 10 are in this corpus.

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