KC
Krishan Chand
physics.flu-dyncs.NAmath.NA
On Valency
published · living versionsW_2js36be7·v1 · currentpublished
Inherent Failure Modes of Physics-Informed Neural Networks for Buoyancy-Driven Flow: Role of Non-Dimensionalization in Network Training
with Ahmad Peyvan, Haoxiang Luo
1 version
Preprints & journals
3 papers in the corpus · 2023–2026Geometry-controlled heat transport in differentially heated cavity through the lens of DNS and resolvent analysis2605.03973v2 · Krishan Chand, Michael Quan, Alberto Padovan et al.2026 · 0 citationsarXiv
Long-lived versus nocturnal stable atmospheric boundary layers: DNS characterisation, similarity theory, and regime classification2510.17046v2 · K. Chand, Cheng-Nian Xiao, Inanc Senocak2025 · 0 citationsarXiv
A pressure-free long-time stable reduced-order model for two-dimensional Rayleigh-Bénard convection.38407396 · Chand, K, Rosenberger, H, Sanderse, B2024 · 3 citationsChaos (Woodbury, N.Y.). 2024;34(2)
Career total: 15 works. 3 are in this corpus.
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