The main research areas of this division are condensed matter physics and computational physics, with emphasis on solving many-body problems with the state-of-the-art approaches. Currently the division is carrying out the following research: magnetism, superconductivity and novel spin-related phenomena in new materials such as graphene and topological insulator; electron spins in semiconductor quantum dots; theory of spin decoherence in the solid state, coherence protection, and their applications; realistic description of spin-orbit coupling and its effects in semiconductor nano-structures, and the control of transport and long-range spin-spin coupling; stain tunable electronic and phonon properties of low dimensional materials; transport via atomistic molecular dynamics; development of many-body theory and novel simulation techniques.

This division focuses on fundamental problems of quantum theory and advanced applications of quantum technologies. For the fundamental part, we are currently interested in problems including  quantum measurement theory, quantum thermal dynamics, quantum uncertainty relation, and quantum information of black hole; For the application part, we study atomic magnetometer/gyroscope, quantum walk, optomechanics and quantum computing using both theoretical and experimental methods.

This division focuses on exploring novel functional materials for mechanical, electronic, optoelectronic and energy related applications and unraveling their underlying physics and chemical process. We perform quantum mechanical calculations and beyond to test fundamental theories by using high performance computers and provide useful insights, fresh perspective and new design principles to accelerate the scientific discovery of innovative functional materials. 

The research focus of the Complex Systems Division at CSRC is the development and application of methods of statistical physics in the treatment of complex physical and biological phenomena. We are particularly interested in the construction and analysis of simple yet quantitative models that expose the key factors responsible for the system’s functionality and behavior. Current research topics include stochastic processes arising from the cell, fluctuation phenomena, molecular dynamics simulation of enzymatic reactions, molecular motors and transcriptional machinery, scattering amplitudes in quantum field theory, hydrodynamic instabilities and mix in inertial confinement fusion, multiscale modeling and algorithmic development. We seek close collaboration with domestic and overseas research groups and institutions in the area of single-molecule and single cell imaging, metabolic regulation, bioinformatics, particle physics, high energy density physics, advanced computational methods and nonequilibrium statistical physics.

The research of the applied mathematics lab covers a broad spectrum of basic research topics of applied and computational mathematics such as numerical analysis and numerical partial differential equations, to interdisciplinary research topics of mathematical modeling and scientific computing such as uncertainty quantification and flow control. Much of the ongoing and planned research places emphasis on the development of fundamental mathematical concepts and innovative numerical algorithms towards the mathematical analysis, multiscale and stochastic modeling and simulations of problems in fluid and solid mechanics, atomic and soft matter physics, biological and materials sciences, data and image analysis, and other application domains.

The research focus of the Division of Mechanics is computational mechanics in its broadest sense, which may involve solids, fluids, soft matter, and their interfaces, with a particular interest in multi-scale and multi-physics theories and methodologies across macro-, meso-, and micor-scales. Computational mechanics requires physical modeling, mathematical analysis, and numerical algorithms with a specific emphasis on using modern computer architectures to perform challenging large-scale scientific computations for systems of great significance in science and engineering.

Computation Algorithms Division focuses on the development of new advanced algorithms, the support on algorithms and software, and the management of high performance computing facility for the computational science research in CSRC.