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Dr. Melko's research interests involve strongly-correlated many-body systems, focusing on emergent phenomena, ground state phases, phase transitions, quantum criticality, and entanglement. He emphasizes computational methods and theoretical techniques, particularly in the development of state-of-the-art algorithms for the study of strongly-interacting systems. His work employs computer simulations to explore low-temperature physics of classical and quantum magnetic materials, cold atoms in optical lattices, bosonic fluids, and quantum computers. He is particularly interested in microscopic models that display interesting quantum behavior in bulk superconducting, spin liquid, and topological phases. Additionally, he is engaged in broader ideas in computational physics and the development of novel algorithms for machine learning to simulate quantum mechanical systems on classical computers, exploring the relationship between these methods and the field of quantum information science.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.