Yan Alexander Wang

Associate Professor

Office: Chemistry D334
Office Phone: 604-822-6773
Lab(s): Chemistry D319
Lab Phone(s): 604-822-6549

Office Hours: Appointment via email or phone

FAX: 604-822-2847
Email: yawang@chem.ubc.ca

Curriculum Vitae: B.Sc., Jilin University (China, 1991); Ph.D., Indiana University at Bloomington (Ernest R. Davidson, 1995); Postdoctoral Fellow, University of North Carolina at Chapel Hill (Robert G. Parr, 1995-1997); Postdoctoral Fellow, University of California at Los Angeles (Emily A. Carter, 1997-2001).

Theoretical/Computational: Quantum Chemistry, Ab Initio Methods, Density-Functional Theory, Computational Chemistry, Computational Nanoscience and Chemical Biology. Orbital-free density-only linear-scaling density-functional methods, Embedding methods for chemical processes on surfaces and interfaces, Developing new kinetic-energy, exchange-correlation, and total energy density functionals, Mathematical properties of density functionals and mathematical foundation of density-functional theory, Molecular simulation and modeling of nanosystems and biological systems

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Research/Teaching Interests

Awards, Distinctions, and Professional Services

• The Wiley-International Journal of Quantum Chemistry (IJQC) Young Investigator Award (2007).
• The Canadian National Committee for the International Union of Pure & Applied Chemistry (CNC-IUPAC) Travel Award (2005).
• Peter Wall Institute for Advanced Studies Early Career UBC Scholar Award (2003).
• UCLA Chancellor's Postdoctoral Research Award (2001).
• Editor, Recent Advances in Orbital-Free Density Functional Theory, edited by Y. A. Wang and T. A. Wesolowski (World Scientific, Singapore), 2010.
• Guest Editor, Special Issue: Proceedings from the Sixth Congress of the International Society for Theoretical Chemical Physics (ISTCP-VI), in International Journal of Quantum Chemistry, Vol. 109, No. 14, edited by Y. A. Wang, E. J. Brändas, and J. Maruani (Wiley, USA), 2009.
• Editorial Advisory Board Member of the Handbook of Research on Computational and Systems Biology: Interdisciplinary Applications (Springer, Germany), since 2009.
• Editorial Board Member of Interdisciplinary Sciences: Computational Life Sciences (Springer, Germany), since 2008.
• Editorial Board Member of Progress in Theoretical Chemistry and Physics (Springer, Germany), since 2007.
• Editorial Board Member of the Journal of Computational and Theoretical Nanoscience (American Scientific, USA), since 2006.
• Advisory Board Member of the International Association of Scientists in the Interdisciplinary Areas (IASIA), since 2008.
• National Representative for Canada to the International Society for Theoretical Chemical Physics (ISTCP), since 2005.
• Canadian Young Observer to the International Union of Pure and Applied Chemistry (IUPAC) at the 40th IUPAC Congress, Beijing, China, 2005.
• Adjunct Professor of Theoretical Chemistry (Honorary), Institute for Computational Science and Engineering, Ocean University of China, 2002-2005.
• Corresponding Symposium Organizer, Symposium on “Orbital-Free Density Functional Theory and Its Applications to Large-Scale Materials Simulations,” The 2010 International Chemical Congress of Pacific Basin Societies (Pacifichem 2010), Honolulu, Hawaii, USA, 15-20 December 2010.
• Chair, the Sixth Congress of the International Society for Theoretical Chemical Physics (ISTCP-VI), University of British Columbia, Vancouver, Canada, July 19-24 2008.
• Chair, the Sixth Canadian Computational Chemistry Conference (CCCC6), University of British Columbia, Vancouver, Canada, 26-30 July 2006.
• Member of the Pacific Institute of Theoretical Physics, UBC, since 2005.
• Member of the Institute of Applied Mathematics, UBC, since 2002.

Highly accurate predictions of condensed-phase phenomena from first-principles are rare. Current theoretical methods either cannot consistently treat chemical reactions at a high level of accuracy, or are limited by system size or the time scale of the process. To overcome such obstacles, I will initiate a research program to devise better linear-scaling first-principles schemes to study interesting problems in biological systems and materials science, with an equal emphasis on theoretical advances and real-world applications. The ultimate goal is to offer the scientific community a reliable vehicle to qualitatively and quantitatively understand basic mechanisms in complex systems, and to gain insights into aspects of nature that cannot be easily probed by experimental means.

The success of ab initio quantum chemistry computational packages (e.g., GAUSSIAN, MOLCAS, HONDO, MELD, etc.) has made conventional ab initio theories essentially "household" names in everyday chemistry. Despite their popularity, these methods cannot be applied to many common chemical problems due to their prohibitive scaling properties, i.e., scaling worse than O(N⁴) for post-Hartree-Fock methods, where N is the "size" of the system. Among various efforts to surmount this scaling problem, working directly with low-order reduced density matrices has the most promise: accurate energetics with relatively low computational cost and without seriously sacrificing the quality of the wave function. This research area will be one of our primary interests.

In addition to the popular Kohn-Sham orbital-based approach to density-functional theory, there is a less-used Hohenberg-Kohn orbital-free density-based scheme. Though linear-scaling Kohn-Sham codes are available, they are computationally expensive due to manipulations of basis sets and Kohn-Sham orbitals, including orbital orthonormalization and orbital localization. In comparison, the orbital-free Hohenberg-Kohn scheme is purely a density-based, linear-scaling method with none of the overhead associated with basis sets and Kohn-Sham orbitals. The orbital-free Hohenberg-Kohn scheme also performs uniformly well with linear-scaling regardless whether or not the first-order reduced density matrix is "nearsighted" (diagonally dominant).

With present computational resources, systems of thousands of atoms can be studied with the orbital-free Hohenberg-Kohn scheme; such a size is inconceivable for the present orbital-based ab initio and Kohn-Sham methods. In fact, the orbital-free Hohenberg-Kohn scheme is purely restricted by the physical size of the system under investigation, not by the number of electrons, and certainly has clear advantages over the orbital-based methods. Furthermore, with the help of linear-scaling summation techniques for long-range interactions, significantly larger systems can be modeled dynamically within the density-functional theory description using current computational power.

Hence, the orbital-free Hohenberg-Kohn scheme is a much better choice in terms of efficiency and implementation. However, in order to obtain accurate results via the orbital-free Hohenberg-Kohn scheme, one must know all of the components in the total energy density functional. Our task is to design nearly universal, highly accurate, density-only kinetic-energy and exchange-correlation density functionals, such that the orbital-free, linear-scaling Hohenberg-Kohn scheme will become the preferred method of implementation of density-functional theory in the near future.

With the advances mentioned in the previous two sections, we then merge them into a coherent embedding formalism and methodology to study chemical and physical processes in complex systems, especially biological systems and condensed-phase materials. The basic idea behind such an embedding scheme is to treat the large surrounding environment by a less computationally intensive method (e.g., density-functional theory), and to apply high-level post-Hartree-Fock methods to the chemical reaction regions such that accurate energetics are obtained. Ultimately, we will be able to develop highly accurate linear-scaling first-principles methods and apply them to reliably predict the behavior of complex systems.

During the course of research, graduate students and postdoctoral fellows will be equipped with a broad set of skills and knowledge (physics, chemistry, mathematics, computation, biophysics, and materials science), benefiting their future careers.