3 papers
cond-mat.mtrl-sci2026
Investigation of filamentation in a-Si/Ag/Cu memristors with atomic force microscope
Alena Samsonova, Viacheslav Dremov, Oleg Klimenko +2
Cation-based Ag/Cu filaments formed in an insulating -Si matrix are widely used as memristors in crossbar arrays for efficient in-memory computing. However, the stochastic natur…
math.DS2024
Physics-informed neural networks for aggregation kinetics
Farzona Mukhamedova, Ivan Tyukin, Nikolai Brilliantov
We introduce a novel physics-informed approach for accurately modeling aggregation kinetics which provides a comprehensive solution in a single run by outputting all model paramete…
math.NA2023
Knowledge-Informed Neuro-Integrators for Aggregation Kinetics
Dmitrii Lukashevich, Ivan Tyukin, Nikolay Brilliantov
We report a novel approach for the efficient computation of solutions of a broad class of large-scale systems of non-linear ordinary differential equations, describing aggregation…