Many Electron Collaboration: Principal Investigators


Garnet K.-L. Chan, Ph.D.

Garnet K.-L. Chan is the Bren Professor in Chemistry at the California Institute of Technology (Caltech). He joined the Caltech faculty in 2016, and prior to that was the Hepburn Professor of Theoretical Chemistry in the Department of Chemistry at Princeton University. He has received a number of awards, including the ACS Award in Pure Chemistry, the Medal of the International Academy of Quantum Molecular Science, the Camille Dreyfus Teacher-Scholar Award, the Alfred P. Sloan and David and Lucile Packard fellowships, the NSF CAREER Award, and the Baker Award of the National Academy of Sciences.

His research lies at the interface of theoretical chemistry, condensed matter physics, and quantum information theory, and is concerned with the phenomena and numerical methods associated with quantum many particle systems. Some current systems of interest include metalloenzymes and biological catalysts, transition metal oxides and superconductivity, and organic molecular crystals and light harvesting. He has contributed to a wide range of quantum simulation methods, including density matrix renormalization and tensor network algorithms for real materials, downfolding through canonical transformations, local quantum chemistry methods, quantum embeddings including dynamical mean-field theory and density matrix embedding theory, and new quantum Monte Carlo techniques.


Michel Ferrero, Ph.D.

Michel Ferrero is a CNRS researcher based at École Polytechnique, Paris. He obtained his Ph.D. from the International School for Advanced Studies, Trieste in 2006. His research is mainly concerned with the study of quantum systems that exhibit strong electronic correlations. While his earlier work was related to frustrated magnetic systems and the characterization of spin-liquid phases, he then got interested in the physics of high-temperature cuprate superconductors, heavy fermions and cold atomic systems that he studied within the framework of the dynamical mean-field theory. His recent work includes the development of new approaches to the many-body problem combining diagrammatic techniques and state-of-the art numerical algorithms. He is one of the authors of the open-source TRIQS project providing an environment for the quick and efficient design of new algorithms as well as a set of applications for the study of strongly correlated systems.


Antoine Georges, Ph.D.

Antoine Georges is Professor of Physics at Collège de France (Paris), where he holds the chair of Condensed Matter Physics. He also has joint appointments with École Polytechnique, France and University of Geneva, Switzerland. He obtained his Ph.D. from École Normale Supérieure in 1988. While his early research concerned the statistical mechanics of disordered systems, his main focus has been on the physics of quantum materials in which electron-electron interactions are strong. These materials possess remarkable electronic properties and functionalities. He is one of the co-inventors of dynamical mean field theory, for which he shared the 2006 Europhysics Condensed Matter Prize. This theory has deeply transformed our understanding of these materials and our ability to explain, calculate and predict their physical properties. In recent years, he made contributions at the frontier between condensed-matter physics and quantum optics, to the field of ultra-cold atomic gases. Professor Georges also received the 2007 Silver Medal of the CNRS, as well as a major Synergy Grant from the European Research Council.

Emanuel Gull

Emanuel Gull, Ph.D.

Emanuel Gull, who is a Professor at the University of Michigan, works in the general area of computational condensed matter physics with a focus on the study of correlated electronic systems in and out of equilibrium. He is an expert on Monte Carlo methods for quantum systems and one of the developers of the diagrammatic ‘continuous-time’ quantum Monte Carlo methods. His recent work includes the study of the Hubbard model using large cluster dynamical mean-field methods, the development of vertex function methods for optical (Raman and optical conductivity) probes, and the development of bold-line diagrammatic algorithms for quantum impurities out of equilibrium. Gull is involved in the development of open-source computer programs for strongly correlated systems.


Kristjan Haule, Ph.D.

Kristjan Haule was born in Slovenia and obtained his B.A. in Physics at the University of Ljubljana, Slovenia in 1997. He performed physics research for his Ph.D. at Karlsruhe University (Germany) with Professor Peter Wölfle on the European FERLIN exchange program, and at the Jožef Stefan Institute in Slovenia. He received his Ph.D. in Physics from the University of Ljubljana in 2002. A postdoctoral fellowship at Rutgers (2002-2003) with Professor Gabriel Kotliar followed, and then a research position at the Jožef Stefan Institute (2003-2005). He received an NSF Career Award in 2008, the Rutgers Board of Trustees Award for Scholarly Excellence in 2009, and an Alfred P. Sloan Research Fellow in 2008–2010. He was appointed Professor of Physics at Rutgers in 2012. In 2013, he received a Blavatnik Award for Young Scientists for theoretical and computational studies of strongly correlated electron systems.

Haule’s research specialties are in condensed matter theory, with major interests in electronic structure theory for correlated electron solids and algorithm development which combine dynamical mean-field theory and density functional theory. He is especially known for the development of predictive theories for correlated electron solids and implementation of dmft_wien2k code. Haule’s publications include over 90 scientific papers with about 3,000 citations, h-index of 27, and m-quotient of 2.1.


Gabriel Kotliar, Ph.D.

Gabriel Kotliar got his Ph.D. at Princeton University. He spent time at the KITP in Santa Barbara as a postdoctoral associate and at MIT as an assistant professor. He currently holds a Board of Governors Professor Chair in the Physics Department at Rutgers University.

Kotliar is well known for his contributions to the theory of strongly correlated and disordered electron systems. He was an Alfred P. Sloan Research Fellow in 1986–1988, received a Presidential Young Investigator Award in 1987, a Lady Davies Fellowship in 1994, a Guggenheim Fellowship in 2003, the Blaise Pascal Chair in 2005, and he was one the recipients of the Europhysics Prize in 2006 for the development of dynamical mean-field theory.

He has been a visiting professor at the École Normale and the École Polytechnique in Paris and the Hebrew University in Jerusalem. Dr. Kotliar has organized and served in the advisory board for numerous conferences and meetings. He has been a Fellow of the American Physical Society since 2000 and has co-authored over 200 publications in refereed journals. His current research interests include the theory of the Mott transition, superconductivity in strongly correlated electron systems, the electronic structure of transition metal oxides, lanthanides and actinides, and the development of first-principles approaches for predicting physical properties of materials.


Evgeny Kozik, Ph.D.

Evgeny Kozik is a Lecturer in Physics at King’s College London. His research interests are in the theory of correlated many-body fermionic and bosonic systems, ultracold atoms, superfluidity, superconductivity and superfluid turbulence. He has recently been focused on the development of numerical methods enabling accurate and unbiased description of correlated fermions. Kozik is a co-author of the diagrammatic Monte Carlo approach to generic many body systems of fermions on a lattice and in the continuum.

Olivier Parcollet

Olivier Parcollet, Ph.D.

Olivier Parcollet is a researcher at the Institute of Theoretical Physics (IPhT) at CEA in Paris-Saclay. He obtained his Ph.D. from École Normale Supérieure in Paris in 1998. His research focuses on the physics of quantum materials where strong electron-electron interactions lead to remarkable physical properties, as seen for example in the high-temperature cuprate superconductors.  He specializes in the development of new approaches to the quantum many-body problem, combining traditional diagrammatic techniques, ideas from dynamical mean-field theory and innovative numerical algorithms.  He is the leader of the open-source TRIQS project, which provides a library for the quick and efficient design of new algorithms as well as a set of applications for the study of strongly-correlated systems.  He received the Déchelle Prize from the French Academy of Sciences in 2009 for his work on cluster dynamical mean-field theory, and was awarded a ERC Starting Grant in 2011 from the European Research Council.


Nikolay Prokof'ev, Ph.D.

Nikolay Prokof’ev is Professor of Physics at the University of Massachusetts, Amherst since 1999. He received his M.Sc. in Theoretical Physics from Moscow Engineering Physics Institute in 1982 (Recombination of Atomic Hydrogen in H2 Crystals) and Ph.D. from Kurchatov Institute, Moscow, in 1987 (Tunneling Motion of Heavy Particles in Metals) — both under Yuri Kagan. Prokof’ev’s research interests are in the areas of Monte Carlo methods for strongly correlated states of bosonic, fermionic and spin systems; superfluidity and superconductivity; critical phenomena; and mechanisms of decoherence. He is co-inventor of the worm algorithm and diagrammatic Monte Carlo. He is a Fellow of American Physical Society and division associate editor for PRL.


Mark van Schilfgaarde, Ph.D.

Mark van Schilfgaarde is Professor of Physics at King’s College London. His research interests are centered around the theory of electronic structure, which is the key to understanding properties of materials at their most fundamental level, most notably the quasiparticle self-consistent GW approximation.

Materials he has studied span a wide range: in recent years, they include chalcopyrite semiconductors for solar cell applications; members of the new class of Fe-based superconductors; graphene. Other research areas concern the ab initio treatment of magnetism: most recently, exchange interactions and transport in dilute magnetic semiconductors, Green’s function techniques for quantum transport in nanostructures such as Fe/MgO/Fe tunnel junctions, and spin transport phenomena. He is co-author in over 170 publications.


Boris Svistunov, Ph.D.

Boris Svistunov received his Ph.D. in 1990 from Kurchatov Institute (Moscow) where he worked from 1986 to 2003 (and which he is still affiliated with). In 2003, he joined the Physics Department of the University of Massachusetts, Amherst. His research deals with ultracold gases, superfluidity and supersolidity, strongly correlated systems, and the theory and practice of quantum Monte Carlo methods, and he is co-inventor of the worm algorithm and diagrammatic Monte Carlo. He is a Fellow and Outstanding Referee of the American Physical Society.


Guifre Vidal, Ph.D.

Guifre Vidal is a senior faculty member at the Perimeter Institute for Theoretical Physics in Canada since 2011. His work, at the interface between quantum information and condensed matter, has lead the development of a theory of many body entanglement and of the tensor network formalism to efficiently describe many body wave functions. Vidal has been awarded a Federation Fellowship (Australian research Council, 2006–2011) and a Distinguished Research Chair (Perimeter Institute, 2010–2011).

Vidal’s main research contributions include: the first algorithm to efficiently simulate dynamics in one-dimensional lattice systems (TEBD, 2004) using a matrix product state (MPS), as well as the proposal of the multi-scale entanglement renormalization ansatz (MERA, 2007), a tensor network for quantum critical systems. Tensor networks, including MPS and MERA, are currently used in many disciplines, from condensed matter to quantum chemistry, and from quantum information to string theory.


Lucas K. Wagner, Ph.D.

Lucas K. Wagner is a professor of physics at the University of Illinois at Urbana-Champaign (UIUC). After growing up in rural southern Virginia, he obtained a B.S. in physics and applied math followed by a Ph.D. in physics at North Carolina State. After postdoctoral appointments at Berkeley and the Massachusetts Institute of Technology, he moved to UIUC in fall 2011.

Wagner’s main interest is in the physics of electrons in materials. He is the author of the QWalk package, which allows researchers to use Monte Carlo techniques to simulate the correlated electronic structure of materials. He has used this technique to demonstrate the feasibility of obtaining high-accuracy predictions of correlated materials properties from first principles.

Wagner has contributed to a number of new methods for studying correlated electron systems. He has contributed to the development of optimal variational wave functions for first principles models, the structure of the nodes or zeros of many-body wave functions and statistical analysis of Monte Carlo simulations. He is currently interested in the interface between first principles and effective model calculations.


Steven R. White, Ph.D.

Steven R. White is a Professor of Physics at the University of California, Irvine. White grew up in California and got a B.A. from UC San Diego, with a triple major in Physics, Math and Economics in 1982. He completed his Ph.D. in Physics at Cornell in 1987, working with Nobel laureate Ken Wilson, and after a two year postdoc at UC Santa Barbara, joined the Physics Department at Irvine in 1989. He is the inventor of the density matrix renormalization group (DMRG), one of the most important and widely used algorithms for simulating quantum systems.

White is a Fellow of the AAAS and of the APS, and has served as the Councillor for the Division of Computational Physics at the APS. He won the APS’ Rahman Prize in 2003 for the invention of DMRG. In 2008, Physical Review Letters selected White’s original DMRG paper as the Milestone Paper of 1992. Currently White holds a visiting Distinguished Research Chair at the Perimeter Institute in Waterloo, Ontario.

White works mostly in condensed matter theory, specializing in computational techniques for strongly correlated systems. These strongly correlated systems include both high-temperature superconductors and quantum spin liquids. As the inventor of the DMRG algorithm for simulating quantum systems, he is interested in ways to improve and broaden DMRG, to apply it a variety of systems, and to understand and develop related tensor network algorithms. White is also active in quantum chemistry, and he was the first to apply DMRG to the ab initio calculation of the electronic structure of molecules.

Dominika Zgid

Dominika Zgid, Ph.D.

Dominika Zgid is an assistant professor at the University of Michigan. She received her Ph.D. from the University of Waterloo, Canada, in 2008. Since starting at Michigan, she has received a DOE Early Career Award in 2013 and an NSF Career Award in 2015.

Her main interests are at the interface of theoretical chemistry and condensed matter physics with a major focus on designing new, systematically improvable and controlled computational methods that can be used to study strongly correlated molecules and materials. She has worked on variety of topics, such as a molecular version of density matrix renormalization group, solvers for dynamical mean field theory using explicit bath formulation, conserving Green’s function methods for weakly correlated systems and the development of the self-energy embedding theory.


Shiwei Zhang, Ph.D.

Shiwei Zhang is Professor of Physics at the College of William & Mary in Virginia. He received his Ph.D. in Physics from Cornell University in 1993. After two years at Los Alamos National Laboratory as a Postdoctoral Research Associate and then briefly at Ohio State University as an NSF CISE Postdoctoral Fellow and University Postdoctoral Fellow, he joined the faculty at William and Mary in 1996. He has held visiting positions at the University of Illinois, SISSA Trieste, the Chinese Academy of Sciences, and others.

Zhang is a Fellow of the American Physical Society. He has received a number of awards, including the NSF CAREER Award, the Cottrell Scholar Award, and the William and Mary Plumeri Award for Faculty Excellence.

The goal of Zhang’s research is to fundamentally advance our computational capabilities to solve significant problems in condensed matter and materials physics. He has focused on treating many electron systems and has done pioneering work in algorithmic innovation of quantum Monte Carlo methods and their applications. Methods he developed have been applied in condensed matter, quantum chemistry, ultra-cold atoms, and nuclear physics. Zhang and his group perform both materials-specific, first-principles electronic structure calculations and lattice model simulations of strongly correlated systems.