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cond-mat.mtrl-sci2026
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,…
cond-mat.mtrl-sci2024
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.…