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

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)

3D Reconstruction of Protein Complex Structures Using Synthesized Multi-View AFM Images. - Jaydeep Rade; Soumik Sarkar; Anwesha Sarkar; Adarsh Krishnamurthy (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)

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)