Physics-consistent deep learning for structural topology optimization. - Jaydeep Rade; Aditya Balu; Ethan Herron; Jay Pathak; Rishikesh Ranade; Soumik Sarkar; Adarsh Krishnamurthy (CoRR, 2020)

Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data. - Yasaman Esfandiari; Sin Yong Tan; Zhanhong Jiang; Aditya Balu; Ethan Herron; Chinmay Hegde; Soumik Sarkar (ICML, 2021)

Algorithmically-consistent deep learning frameworks for structural topology optimization. - Jaydeep Rade; Aditya Balu; Ethan Herron; Jay Pathak; Rishikesh Ranade; Soumik Sarkar; Adarsh Krishnamurthy (Eng. Appl. Artif. Intell., 2021)

Neural PDE Solvers for Irregular Domains. - Biswajit Khara; Ethan Herron; Zhanhong Jiang; Aditya Balu; Chih-Hsuan Yang; Kumar Saurabh; Anushrut Jignasu; Soumik Sarkar; Chinmay Hegde; Adarsh Krishnamurthy; Baskar Ganapathysubramanian (CoRR, 2022)

Deep learning-based 3D multigrid topology optimization of manufacturable designs. - Jaydeep Rade; Anushrut Jignasu; Ethan Herron; Ashton M. Corpuz; Baskar Ganapathysubramanian; Soumik Sarkar; Aditya Balu; Adarsh Krishnamurthy (Eng. Appl. Artif. Intell., 2023)

Latent Diffusion Models for Structural Component Design. - Ethan Herron; Jaydeep Rade; Anushrut Jignasu; Baskar Ganapathysubramanian; Aditya Balu; Soumik Sarkar; Adarsh Krishnamurthy (Comput. Aided Des., 2024)

Neural PDE Solvers for Irregular Domains. - Biswajit Khara; Ethan Herron; Aditya Balu; Dhruv Gamdha; Chih-Hsuan Yang; Kumar Saurabh; Anushrut Jignasu; Zhanhong Jiang; Soumik Sarkar; Chinmay Hegde; Baskar Ganapathysubramanian; Adarsh Krishnamurthy (Comput. Aided Des., 2024)

3D Reconstruction of Protein Structures from Multi-view AFM Images using Neural Radiance Fields (NeRFs). - Jaydeep Rade; Ethan Herron; Soumik Sarkar; Anwesha Sarkar; Adarsh Krishnamurthy (CoRR, 2024)

STITCH: Surface reconstrucTion using Implicit neural representations with Topology Constraints and persistent Homology. - Anushrut Jignasu; Ethan Herron; Zhanhong Jiang; Soumik Sarkar; Chinmay Hegde; Baskar Ganapathysubramanian; Aditya Balu; Adarsh Krishnamurthy (CoRR, 2024)

Geometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex Geometries. - Ali Rabeh; Ethan Herron; Aditya Balu; Soumik Sarkar; Chinmay Hegde; Adarsh Krishnamurthy; Baskar Ganapathysubramanian (CoRR, 2025)