Seid Korić

1. Advanced Deep Operator Networks to Predict Multiphysics Solution Fields in Materials Processing and Additive Manufacturing
   2024/03/21 by Shashank Kushwaha, Kushwaha, Shashank, Jaewan Park +9 · 7 citations
   Engineering · #Additive Manufacturing Materials and Processes #Additive Manufacturing and 3D Printing Technologies #Computational Engineering #FOS: Computer and information sciences #Finance #Manufacturing Process and Optimization #and Science (cs.CE)
2. Virtual Sensing-Enabled Digital Twin Framework for Real-Time Monitoring of Nuclear Systems Leveraging Deep Neural Operators
   2024/10/17 by Raisa Bentay Hossain, Farid Ahmed, Hossain, Raisa Bentay +9 · 5 citations
   Engineering · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Nuclear Physics and Applications #Radiation Detection and Scintillator Technologies
3. Topology optimization for three‐dimensional elastoplastic architected materials using a path‐dependent adjoint method
   2020/12/13 by Diab W. Abueidda, Diab Abueidda, Ziliang Kang +5 · 1 citation
   Engineering · #Topology Optimization in Engineering #Composite Structure Analysis and Optimization #Composite Material Mechanics
4. Geometry-Informed Neural Operator Transformer
   2025/04/28 by Qibang Liu, Liu, Qibang, Weiheng Zhong +9 · 4 citations
   Computer Science · Materials Science · Physics and Astronomy · #Advanced Graph Neural Networks #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Model Reduction and Neural Networks
5. Towards Signed Distance Function based Metamaterial Design: Neural Operator Transformer for Forward Prediction and Diffusion Model for Inverse Design
   2025/04/01 by Qibang Liu, Liu, Qibang, Seid Korić +7 · 2 citations
   Engineering · Materials Science · #Cellular and Composite Structures #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Machine Learning in Materials Science #Topology Optimization in Engineering