Kumar, Krishna
- Scalable and modular material point method for large-scale simulations
2019/09/29 by Krishna Kumar, Jeffrey Salmond, Kumar, Krishna +11 · 4 citations
Engineering · #Distributed #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics Simulations and Interactions #Fluid Dynamics and Heat Transfer #Geophysics (physics.geo-ph) #Lattice Boltzmann Simulation Studies #Parallel #and Cluster Computing (cs.DC)
- Basis-to-Basis Operator Learning Using Function Encoders
2024/09/30 by Tyler Ingebrand, Ingebrand, Tyler, Adam J. Thorpe +7 · 9 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
- Graph Neural Network-based surrogate model for granular flows
2023/05/09 by Yongjin Choi, Krishna Kumar, Choi, Yongjin +1 · 4 citations
Engineering · Environmental Science · #FOS: Computer and information sciences #FOS: Physical sciences #Geophysics (physics.geo-ph) #Granular flow and fluidized beds #I.6.8 #Landslides and related hazards #Machine Learning (cs.LG)
- Geotechnical Parrot Tales (GPT): Harnessing Large Language Models in geotechnical engineering
2023/04/04 by Krishna Kumar, Kumar, Krishna · 3 citations
Computer Science · Engineering · #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Physical sciences #Geophysics (physics.geo-ph) #I.2.7 #Infrastructure Maintenance and Monitoring #J.2.6 #Topic Modeling #Underground infrastructure and sustainability
- GNS: A generalizable Graph Neural Network-based simulator for particulate and fluid modeling
2022/11/18 by Kumar, Krishna, Vantassel, Joseph · 2 citations
#FOS: Computer and information sciences #I.6 #Machine Learning (cs.LG)
- A Frequency-Velocity CNN for Developing Near-Surface 2D Vs Images from Linear-Array, Active-Source Wavefield Measurements
2022/07/19 by Aser Abbas, Joseph P. Vantassel, Abbas, Aser +7 · 1 citation
Earth and Planetary Sciences · Engineering · #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Geophysical Methods and Applications #Geophysics (physics.geo-ph) #Machine Learning (cs.LG) #Seismic Imaging and Inversion Techniques #Seismic Waves and Analysis #Signal Processing (eess.SP) #electronic engineering #information engineering
- Accelerating Particle and Fluid Simulations with Differentiable Graph Networks for Solving Forward and Inverse Problems
2023/09/23 by Krishna Kumar, Yongjin Choi, Kumar, Krishna +1 · 1 citation
Engineering · Environmental Science · #Lattice Boltzmann Simulation Studies #Landslides and related hazards
- Inverse analysis of granular flows using differentiable graph neural network simulator
2024/01/17 by Yongjin Choi, Choi, Yongjin, Krishna Kumar +1 · 1 citation
Computer Science · Engineering · Environmental Science · #FOS: Computer and information sciences #FOS: Physical sciences #Geophysics (physics.geo-ph) #Geotechnical Engineering and Analysis #Human Pose and Action Recognition #I.6.8 #Landslides and related hazards #Machine Learning (cs.LG)
- SetONet: A Set-Based Operator Network for Solving PDEs with Variable-Input Sampling
2025/05/07 by Stepan Tretiakov, Tretiakov, Stepan, Xin Li +3 · 3 citations
Computer Science · Materials Science · Physics and Astronomy · #Advanced Graph Neural Networks #FOS: Computer and information sciences #G.1.8 #I.2 #Machine Learning (cs.LG) #Machine Learning in Materials Science #Model Reduction and Neural Networks