Somdatta Goswami

1. Physics-Informed Deep Neural Operator Networks
   2022/07/08 by Somdatta Goswami, Goswami, Somdatta, Aniruddha Bora +5 · 18 citations
   Engineering · Materials Science · Physics and Astronomy · #Enhanced Oil Recovery Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning in Materials Science #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
2. Learning two-phase microstructure evolution using neural operators and autoencoder architectures
   2022/04/11 by Vivek Oommen, Oommen, Vivek, Khemraj Shukla +7 · 8 citations
   Materials Science · Engineering · #Solidification and crystal growth phenomena #Magnetic Properties and Applications #Metallurgy and Material Forming
3. An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications
   2020/01/16 by Esteban Samaniego, E. Samaniego, Cosmin Anitescu +13 · 6 citations
   Engineering · Physics and Astronomy · #Advanced Numerical Analysis Techniques #Model Reduction and Neural Networks #Numerical methods in engineering
4. Learning stiff chemical kinetics using extended deep neural operators
   2023/02/23 by Somdatta Goswami, Goswami, Somdatta, Ameya D. Jagtap +7 · 8 citations
   Engineering · Mathematics · Physics and Astronomy · #Chemical Physics (physics.chem-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Gas Dynamics and Kinetic Theory #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Phase Equilibria and Thermodynamics
5. Neural Operator Learning for Long-Time Integration in Dynamical Systems with Recurrent Neural Networks
   2023/03/03 by Katarzyna Michałowska, Michałowska, Katarzyna, Somdatta Goswami +5 · 7 citations
   Computer Science · Earth and Planetary Sciences · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations #Model Reduction and Neural Networks
6. Basis-to-Basis Operator Learning Using Function Encoders
   2024/09/30 by Tyler Ingebrand, Ingebrand, Tyler, Adam J. Thorpe +7 · 6 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
7. Sound propagation in realistic interactive 3D scenes with parameterized sources using deep neural operators
   2023/08/09 by Nikolas Borrel-Jensen, Somdatta Goswami, Borrel-Jensen, Nikolas +7 · 3 citations
   Computer Science · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Music Technology and Sound Studies #Music and Audio Processing #Sound (cs.SD) #Speech and Audio Processing #electronic engineering #information engineering
8. LNO: Laplace Neural Operator for Solving Differential Equations
   2023/03/19 by Qianying Cao, Cao, Qianying, Somdatta Goswami +3 · 2 citations
   Computer Science · Materials Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Magnetic Properties and Applications #Model Reduction and Neural Networks #Neural Networks and Applications
9. Physics-Informed Latent Neural Operator for Real-time Predictions of time-dependent parametric PDEs
   2025/01/14 by Sharmila Karumuri, Lori Graham‐Brady, Karumuri, Sharmila +3 · 4 citations
   Computer Science · Engineering · #Advanced Data Processing Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Time Series Analysis and Forecasting
10. Efficient Training of Deep Neural Operator Networks via Randomized Sampling
    2024/09/20 by Sharmila Karumuri, Lori Graham‐Brady, Karumuri, Sharmila +3 · 2 citations
    Computer Science · #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Statistics and Probability (physics.data-an)
11. Enabling Local Neural Operators to perform Equation-Free System-Level Analysis
    2025/05/05 by Gianluca Fabiani, Hannes Vandecasteele, Fabiani, Gianluca +7 · 5 citations
    Physics and Astronomy · Computer Science · Materials Science · #35B40 #37M20 #37N30 #41A35 #47J25 #62M45 #65F15 #65J15 #65J22 #65P30 #68T05 #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #G.1.10 #G.1.3 #G.1.5 #G.1.8 #G.4 #I.2.6 #I.6.5 #J.2 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA)
12. Time Marching Neural Operator FE Coupling: AI Accelerated Physics Modeling
    2025/04/15 by Wei Wang, Wang, Wei, Maryam Hakimzadeh +5 · 3 citations
    Physics and Astronomy · Materials Science · Computer Science · #Model Reduction and Neural Networks #Machine Learning in Materials Science #Generative Adversarial Networks and Image Synthesis
13. Developing a cost-effective emulator for groundwater flow modeling using deep neural operators
    2023/12/12 by Maria Luisa Taccari, He Wang, Somdatta Goswami +4 · 1 citation
    Environmental Science · Physics and Astronomy · Earth and Planetary Sciences · #Groundwater flow and contamination studies #Model Reduction and Neural Networks #Seismic Imaging and Inversion Techniques