Portrait of Zhang, Yang

Yang Zhang

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Our research can be summarized in two words: Matter and Machine. On the Matter side, Z lab studies far-from-equilibrium physics. They synergistically combine and push the boundaries of statistical and stochastic thermodynamic theories, accelerated molecular simulations, understandable AI/ML/DS methods, and neutron scattering experiments, with the goal of significantly extending our understanding of a wide range of long timescale phenomena and rare events. Particular emphasis is given to the physics and chemistry of liquids and complex fluids, especially at interfaces, driven away from equilibrium, or under extreme conditions. On the Machine side, leveraging their expertise in materials and modeling, his group advances the development of soft robots and human-compatible machines, swarm robots and collective intelligence, and robots in extreme environments, which can lead to immediate societal impact.

Timothy (Raz) Jugovic

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Research Description
Relativistic quantum mechanics and spin-orbit coupling; GPU accelerated molecular dynamics calculations of polyacrylate adhesives.

Paul Zimmerman, Chemistry

Photo of Mackillo Kira

Mackillo Kira

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Professor Kira develops systematic many-body and quantum-optics approaches to quantitatively analyze, guide, and explain contemporary experiments that study phenomena encountered in the broad field of quantum sciences.  His typical research effort involves extensive collaborations with experimentalists to rigorously test quantum concepts and designs. As few demonstrations, his team has recently discovered dropletons, a quasiparticle accelerator, quantum-memory effects, quantum interferences in high-harmonic generation, and explained quantum depletion in strongly interacting Bose-Einstein condensates.

Professor Kira’s research interests are: Quantum optoelectronics, semiconductor quantum optics, quantum optics, condensed-matter theory, terahertz spectroscopy, many-body interactions, photon correlations, coherent and ultrafast phenomena, and cluster-expansion approach.