3 papers
cs.LG2025
Stabilization of industrial processes with time series machine learning
Matvei Anoshin, Olga Tsurkan, Vadim Lopatkin +1
The stabilization of time series processes is a crucial problem that is ubiquitous in various industrial fields. The application of machine learning to its solution can have a deci…
physics.flu-dyn2025
Multi-stream physics hybrid networks for solving Navier-Stokes equations
Aleksandr Sedykh, Tatjana Protasevich, Mikhail Surmach +4
Understanding and solving fluid dynamics equations efficiently remains a fundamental challenge in computational physics. Traditional numerical solvers and physics-informed neural n…
q-bio.BM2024
Hybrid quantum cycle generative adversarial network for small molecule generation
Matvei Anoshin, Asel Sagingalieva, Christopher Mansell +4
The drug design process currently requires considerable time and resources to develop each new compound that enters the market. This work develops an application of hybrid quantum…