Arvind Mohan

Los Alamos National Laboratory — United States

Physics and Astronomy · Physical Sciences

18h-index1.1kcitations86works1.72yr avg
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Research Topics

Model Reduction and Neural Networks(33), Fluid Dynamics and Turbulent Flows(22), Meteorological Phenomena and Simulations(10), Fluid Dynamics and Vibration Analysis(10), Nuclear Physics and Applications(10)

Publications86 total

Towards an Understanding of Winds in Mountainous Terrain: A Physics-Informed Machine Learning Approach
2025Open Access
Reduced Order Modeling for Tsunami Forecasting with Bayesian Hierarchical Pooling
ArXiv.org·2025Open Access
Reduced Order Modeling for Tsunami Forecasting with Bayesian Hierarchical Pooling
arXiv (Cornell University)·2025Open Access
Towards Reasoning for PDE Foundation Models: A Reward-Model-Driven Inference-Time-Scaling Algorithm
arXiv (Cornell University)·2025Open Access
Discrete quantum walks with marked vertices and their average vertex mixing matrices
Linear Algebra and its Applications·2025
Attention‐Based Reconstruction of Full‐Field Tsunami Waves From Sparse Tsunameter Networks
Geophysical Research Letters·2025Open Access
Generalization vs. Memorization in Autoregressive Deep Learning: Or, Examining Temporal Decay of Gradient Coherence
arXiv (Cornell University)·2025Open Access
Ultra-low extracorporeal volume microfluidic leukapheresis is safe and effective in a rat model
Nature Communications·2025· 2 citedOpen Access
Exploring the determinants of AI driven FinTech adoption by Indian farmers for sustainable agrarian economic development
2025· 2 cited
Binned Spectral Power Loss for Improved Prediction of Chaotic Systems
arXiv (Cornell University)·2025Open Access
Physics-constrained coupled neural differential equations for one dimensional blood flow modeling
Computers in Biology and Medicine·2025· 5 citedOpen Access
Discrete Quantum Walks with Marked Vertices and Their Average Vertex Mixing Matrices
arXiv (Cornell University)·2024Open Access
What You See is Not What You Get: Neural Partial Differential Equations and The Illusion of Learning
arXiv (Cornell University)·2024· 1 citedOpen Access
Attention-Based Reconstruction of Full-Field Tsunami Waves from Sparse Tsunameter Networks
arXiv (Cornell University)·2024Open Access
Physics-constrained coupled neural differential equations for one dimensional blood flow modeling
arXiv (Cornell University)·2024· 1 citedOpen Access
Investigating the effects of precise mass measurements of Ru and Pd isotopes on machine learning mass modeling
Physical review. C·2024· 3 citedOpen Access
267 Single- and multiple-ascending dose studies of DS-2325a, a KLK5 inhibitor for the treatment of Netherton syndrome
Journal of Investigative Dermatology·2024Open Access
Impact of Financial Technology (Fin-Tech) on the Restructuring of the Agrarian Economy: A Comprehensive Systematic Review
2024· 19 cited
Decompressive Hemicraniectomy and Suboccipital Craniectomy for Acute Ischemic Stroke
2024
Prediction and Electricity Forecasting on the Individual Household Level based on PSO-LSSVM Approach
2023· 3 cited
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Frequent Co-authors

Daniel Livescu(17), Michael Chertkov(13), Datta V. Gaitonde(8), A. E. Lovell(6), Nicholas Lubbers(5), Matthew R. Mumpower(4), T. M. Sprouse(3), Miguel R. Visbal(3), Varun Shankar(3), Gavin Portwood(3), David P. Schmidt(3), Lionel Agostini(3), Dima Tretiak(2), P. Talou(2), Akhilesh Sharma(2), Amar Johri(2), Mengke Li(2), Peetak Mitra(2), Dilip Krishnamurthy(2), Christopher Rackauckas(2)