Aditya Koneru

Symbolic ensemble learning enables discovery of fast accurate physics-based interatomic potentials

Machine learning has transformed materials simulation by delivering force fields with ab initio accuracy, yet bridging the gap between high-dimensional regression and physical interpretability remains a grand challenge. Conventional analytical potentials offer transparency but of...

Field-driven hybrid filament formation governs switching in Ta–HfO2–Pt memristors

Memristive devices have gained significant attention for their potential in next-generation non-volatile memory and neuromorphic computing architectures. Among emerging candidates, transition metal oxides have proven particularly promising. While the switching mechanism in Ta/HfO...