A Reinforcement Learning Approach for Process Parameter Optimization in Additive Manufacturing. - Susheel Dharmadhikari; Nandana Menon; Amrita Basak (CoRR, 2022)

A Fully-Automated Framework Integrating Gaussian Process Regression and Bayesian Optimization to Design Pin-Fins. - Susheel Dharmadhikari; Reid A. Berdanier; Karen A. Thole; Amrita Basak (CoRR, 2023)

Multi-fidelity surrogate with heterogeneous input spaces for modeling melt pools in laser-directed energy deposition. - Nandana Menon; Amrita Basak (CoRR, 2024)

Temperature Distribution Prediction in Laser Powder Bed Fusion using Transferable and Scalable Graph Neural Networks. - Riddhiman Raut; Amit Kumar Ball; Amrita Basak (CoRR, 2024)

Elucidating microstructural influences on fatigue behavior for additively manufactured Hastelloy X using Bayesian-calibrated crystal plasticity model. - Ajay Kushwaha; Eralp Demir; Amrita Basak (CoRR, 2024)

Optimizing island sequencing in laser powder bed fusion using Genetic Algorithms. - Amit Kumar Ball; Riddhiman Raut; Amrita Basak (Neural Comput. Appl., 2024)

Scalable and transferable graph neural networks for predicting temperature evolution in laser powder bed fusion. - Riddhiman Raut; Amit Kumar Ball; Amrita Basak (Eng. Appl. Artif. Intell., 2025)

Transferring melt pool knowledge between multiple materials in laser-directed energy deposition via Gaussian process regression. - Kun-Hao Huang; Nandana Menon; Amrita Basak (Eng. Comput., 2025)