Research interests: AI/ML methods for everything, numerical modeling of physical processes.
AI is being implemented everywhere because it optimizes human work. The development of AI in physics can be divided into three main categories:
- Direct application of AI to solve practical problems (not only in physics).
- Physics-inspired AI, which introduces the physical laws into neural networks (physics-informed neural networks, Brain-Inspired Modular Training, and Lagrangian neural networks).
- AI for physics - the search for new knowledge, formulas (AI Feynman and AI Poincaré).
