PhD Studentship - Neural Quantum States for Automated Discovery of Emergent Quantum Phases in Two-Dimensional Materials
This PhD project focuses on developing an automated computational pipeline to discover and characterize correlated quantum phases in two-dimensional materials, particularly twisted and layered heterostructures. The research combines density functional theory, machine learning, and high-performance computing to predict and identify emergent quantum phenomena, with applications in quantum materials and many-body physics.