Garnet K. Chan
Bren Professor in Chemistry
Garnet Chan's research lies at the interface of theoretical chemistry, condensed matter physics, and quantum information theory, and is concerned with quantum many-particle phenomena and the numerical methods to simulate them.
Elisha J. Jung Okawa
Joshua obtained a B.S. in Chemistry from UC Berkeley in 2009. He obtained his Ph.D. in Chemistry from the California Institute of Technology in December 2014 under the mentorship of Prof. Thomas Miller. His doctoral dissertation encompassed the development of approximate quantum dynamics methods for the investigation of electron-, proton-, and proton-coupled electron transfer in enzymatic and inorganic systems. Following Caltech, he joined Garnet Chan’s group as a post-doctoral scholar, originally at Princeton University and now at Caltech. His research focuses on the development of novel quantum embedding techniques and their extension for the treatment of real-time non-equilibrium electron dynamics.
Zhendong obtained his B.Sc. in Chemistry and Mathematics at the Peking University, China, in 2009. He received his Ph.D. at the Peking University in Quantum Chemistry in 2014, where he worked with Professor Wenjian Liu on the developments of theoretical methods for excited states of open-shell molecules, relativistic Hamiltonians for spin-dependent properties and symbolic algebra for tensor expressions. He joined Professor Garnet Chan’s group as a postdoc at Princeton University in December 2014 before moving to Caltech August 2016. His current interests lie in the development of new numerical methods based on tensor network states such as the matrix product states for the many electron problem in quantum chemistry.
Tianyu obtained his B.S. in Chemistry from University of Science and Technology of China in June 2013. He received his PhD in Physical Chemistry from MIT in June 2018 under the guidance of Prof. Troy Van Voorhis. His PhD work focused on developing DFT embedding methods for systematically improving approximate density functionals, as well as simulating organic light-emitting diode materials. He joined Prof. Garnet Chan’s group at Caltech as a postdoc in July 2018 and plans to work on developing electronic structure methods for simulating periodic materials.
Artem obtained his B.Sc. in Physics from Kharkiv state university. He received his M.Sc. in Applied Physics from Chalmers in Gothenburg and defended his Ph.D at École polytechnique fédérale de Lausanne in 2017 under the supervision of Prof. Oleg Yazyev. There, he studied the role of the spin-orbit coupling in electronic transport properties of novel materials including two-dimensional transition metal dichalcogenides. Artem joined Prof. Chan's group as a postdoc aiming to develop efficient many-body methods to describe crystalline solids.
Ushnish graduated with High Honors in Physics and Computer Science at Colgate University. He received his Ph.D. and M.S. in Physics from the Institute of Condensed Matter Theory at the University of Illinois in Urbana-Champaign in 2015. He worked with Prof. Garnet Chan at Princeton University before continuing his work at Caltech. Ushnish's research interests include the physics of disordered systems, non-equilibrium physics, and superfluids. He is particularly keen on developing state-of-the-art computational techniques such as Quantum Monte-Carlo, Cloning Algorithm for Non-equilibrium Stationary States, and Density Matrix Embedding Theory that synergize with experimental methods. He is interested in a collaborative approach between theory and experiment to study exotic phenomena in standard condensed matter scenarios as well as more recent artificial materials made possible via ultra-cold atomic gases.
Qiming holds his B.S. in Peking University and his Ph.D. in Physical Chemistry from Peking University in 2012. His research interests include the quantum embedding methods for local correlation problems, the strong correlation methods and the development of high performance computing algorithm. He designed the Python based electronic structure simulation platform PySCF program package.
Alec received his BA in Chemistry from Whitman college in 2012, and in 2017 he graduated from Berkeley with a PhD in Chemistry. At Berkeley he worked under the supervision of Martin Head-Gordon and Bill McCurdy to develop ab initio electronic structure methods for molecular resonances. In September 2017, Alec joined Garnet Chan's group where he plans to work on finite-temperature coupled cluster approaches.
Henry obtainded his B.Sc. in Physics as well as in Chemistry and Biochemistry at the University of Munich (LMU), Germany, in 2012, where he also obtained his M.Sc. in Chemistry in 2015. He received his Ph.D. in Theoretical Chemistry in 2017, for work carried out in the group of Professor Christian Ochsenfeld where he developed highly accurate Random Phase Approximation methods with linear time complexity. He has joined the group of Professor Garnet Chan as a postdoc in 2018 and is currently interested in the development of new approaches for the electronic structure description of strongly correlated system based on tensor network states.
Zhihao received his BSc in Materials Chemistry from Peking University, China in July 2017. His undergraduate research included screened hybrid density functional and first-principles simulation of materials. Currently he is interested in strongly correlated materials and relevant electronic structure methods.
Yuliya graduated with an honours B.Sc. in Chemistry from McGill University, Canada in 2016. She joined the Garnet Chan group at Caltech in December of 2016 to pursue her PhD. Her research is focused on extending the utility of Density Matrix Embedding Theory to treat excited electronic states. Her interests include high-accuracy, low-scaling methods to treat election correlation in large systems. In particular, Yuliya is interested in applications of these methods to energy conversion processes.
Phillip graduated with a BS in Chemical Engineering from the University of Utah in 2016 where he assisted in the development of combustion and nanolithography simulation software. He began his graduate studies in pursuit of a PhD in Chemical Engineering at Caltech later that year and subsequently joined the Garnet Chan group where he is beginning research focused on improving and applying tensor networks methods.
James McClain received his BSc in Mathematics and Chemistry from Haverford College. There his research included (computationally) separating isotopes through quantum tunneling and creating a database of novel structures as candidates for multiple exciton generation. James joined the Chan group in 2011 and since then his research has mainly focused on electronic structure methods for periodic systems, in particular exploring and developing the methodology to apply excited-state quantum chemistry methods to these systems.
Matthew J. O'Rourke
Matt graduated from Princeton in 2017 with a degree in Physics. A few months later he joined the Chan group at Caltech, deciding he had not yet had enough time to scribble excessively on blackboards. He loves running but hates walking, and he almost always wears Crocs to accompany his daily attire of slacks and a button-down shirt. Staying true to his contradictory nature, his research is focused on developing new high-accuracy quantum chemistry methods that don't rely on huge sets of traditional basis functions. To replace these trusty standbys in situations when accuracy is of the utmost importance, Matt seeks to harness the power of 2- and 3-dimensional tensor networks to do his bidding.
Chong received a BS in Chemistry from Peking University, China in July 2015. She joined the Garnet Chan group Princeton University in December 2015, and moved to Caltech in July 2016. Her research is focused on extending Density Matrix Embedding Theory (DMET) to finite temperature, and she has developed the theory as well as the code to calculate 1D and 2D Hubbard model at finite temperature.
Erika graduated from Massachusetts Institute of Technology with Bachelor degrees in Chemistry and Electrical Engineering (2014), and a Masters in Electrical Engineering (2015). She joined Caltech in 2015 in the Applied Physics department, working with Professor Austin Minnich. She joined the Chan group in 2018 as a collaborator, using tensor network methods to understand the boundary between classical and near-term quantum computing.
Jason graduated from the University of California Irvine (UCI) in 2017 with a B.S in Chemistry. Jason arrived at Caltech as a graduate student in the Chemistry department and joined the Chan group in 2018. Currently, he is working on wavefunction based methods to investigate periodic systems, in addition to developing dual plane-wave/gaussian based techniques.