4 papers
Field-Driven Hybrid Filament Formation Governs Switching in Ta-HfO-Pt Memristors
Ashutosh Krishna Amaram, Aditya Koneru, Subramanian KRS Sankaranarayanan
Memristive devices have gained significant attention for their potential in next-generation non-volatile memory and neuromorphic computing architectures. Among emerging candidates,…
Interface and Thermophysical Properties of R32 Refrigerant
Abibat Adekoya-Olowofela, Sukriti Manna, Subramanian KRS Sankaranarayanan
Driven by the urgent demand for efficient cooling in microelectronics and advanced thermal management systems, difluoromethane (R32/CH2F2) has emerged as a promising candidate owin…
Comparison of Deterministic and Probabilistic Machine Learning Algorithms for Precise Dimensional Control and Uncertainty Quantification in Additive Manufacturing
Dipayan Sanpui, Anirban Chandra, Henry Chan +2
We present a probabilistic framework to accurately estimate dimensions of additively manufactured components. Using a dataset of 405 parts from nine production runs involving two m…
Development of a Machine Learning Potential to Study Structure and Thermodynamics of Nickel Nanoclusters
Suvo Banik, Partha Sarathi Dutta, Sukriti Manna +1
Machine Learning (ML) potentials such as Gaussian Approximation Potential (GAP) have demonstrated impressive capabilities in mapping structure to properties across diverse systems.…