Khemraj Shukla Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Researcher

John Brown University

faculty

27 h-index 97 pubs 7,668 cited

Research Areas

Pulsars and Gravitational Waves Research Seismic Waves and Analysis Seismic Imaging and Inversion Techniques Model Reduction and Neural Networks Gamma-ray bursts and supernovae Climate variability and models

Links

ORCID

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OverviewAI-generated summary

Khemraj Shukla, a faculty member at John Brown University, focuses on a diverse array of topics, including pulsars, gravitational waves, seismic waves, and climate modeling. His research utilizes techniques such as seismic imaging, inversion, model reduction, and neural networks. Shukla's broader interests extend to gamma-ray bursts and supernovae, and he published as recently as 2025.

Metrics

  • h-index: 27
  • Publications: 97
  • Citations: 7,668

Selected Publications

  • $Pinn - a Domain Decomposition Method for Bayesian Physics-Informed Neural Networks (2025) DOI
  • Which Optimizer Works Best for Physics-Informed Neural Networks and Kolmogorov-Arnold Networks? (2025) DOI
  • A Comprehensive and Fair Comparison between Mlp and Kan Representations for Differential Equations and Operator Networks (2024) DOI
  • Tackling the Curse of Dimensionality with Physics-Informed Neural Networks (2023) DOI
  • MYCRUNCHGPT: A LLM ASSISTED FRAMEWORK FOR SCIENTIFIC MACHINE LEARNING (2023) DOI
  • High Order Entropy Stable Schemes for the Quasi-One-Dimensional Shallow Water and Compressible Euler Equations (2023) DOI
  • High-Order Methods for Hypersonic Flows with Strong Shocks and Real Chemistry (2023) DOI
  • Learning two-phase microstructure evolution using neural operators and autoencoder architectures (2022) DOI
  • Physics-informed Neural Networks (PINNs) for Wave Propagation and Full Waveform Inversions (2021) DOI
  • A physics-informed neural network for quantifying the microstructure properties of polycrystalline Nickel using ultrasound data (2021) DOI

Collaborators

Researchers in the database who share publications

Vivek Oommen John Brown University 8 shared publications Ameya D. Jagtap John Brown University 3 shared publications Juan Diego Toscano John Brown University 3 shared publications Nazanin Ahmadi Daryakenari John Brown University 3 shared publications Christian Huber John Brown University 2 shared publications Leonard Gleyzer John Brown University 2 shared publications Aniruddha Bora John Brown University 1 shared publication Mengjia Xu John Brown University 1 shared publication

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