7 citations · 9 across the 5 of their papers we have counts for
5 papers
Temperature Distribution Prediction in Laser Powder Bed Fusion using Transferable and Scalable Graph Neural Networks
Riddhiman Raut, Amit Kumar Ball, Amrita Basak
This study presents novel predictive models using Graph Neural Networks (GNNs) for simulating thermal dynamics in Laser Powder Bed Fusion (L-PBF) processes. By developing and valid…
Multi-fidelity surrogate with heterogeneous input spaces for modeling melt pools in laser-directed energy deposition
Nandana Menon, Amrita Basak
Multi-fidelity (MF) modeling is a powerful statistical approach that can intelligently blend data from varied fidelity sources. This approach finds a compelling application in pred…
A Fully-Automated Framework Integrating Gaussian Process Regression and Bayesian Optimization to Design Pin-Fins
Susheel Dharmadhikari, Reid A. Berdanier, Karen A. Thole +1
Pin fins are imperative in the cooling of turbine blades. The designs of pin fins, therefore, have seen significant research in the past. With the developments in metal additive ma…
A Reinforcement Learning Approach for Process Parameter Optimization in Additive Manufacturing
Susheel Dharmadhikari, Nandana Menon, Amrita Basak
Process optimization for metal additive manufacturing (AM) is crucial to ensure repeatability, control microstructure, and minimize defects. Despite efforts to address this via the…
Probing strain modulation in a gate-defined one dimensional electron system
M. H. Fauzi, M. F. Sahdan, M. Takahashi +5
Gate patterning on semiconductors is routinely used to electrostatically restrict electron movement into reduced dimensions. At cryogenic temperatures, where most studies are carri…