Research in scientific machine learning, fusion engineering, and multi-agent language model simulations.
Journal of Plasma Physics (Cambridge University Press)
A data-driven framework for stellarator coil design using deep neural networks to tackle inverse physics in fusion devices.
A multi-agent LLM simulation framework revealing emergent behaviors such as alliances and deception with persistent memory.
An empirical replication and analysis of sustainable cooperation emergence in LLM agent societies.