Associate Professor of Chemical Engineering and Materials Science Practice
Education
- 2008, Doctoral Degree, Physics, University of Southern California
- 2007, Master's Degree, Computer Science, University of Southern California
- 2002, Master's Degree, Mathematical Science, Niigata University
- 2000, Bachelor's Degree, Physics, Niigata University
Biography
2024 - Present Associate Professor of Chemical Engineering & Materials Science Practice, University of Southern California
2017 – 2024 Senior Lecture of Chemical Engineering & Materials Science, University of Southern California
2015 – 2017 Quantitative Developer/HPC Researcher, Quantlab Financial LLC
2013 – 2015 ACI Research and Education Facilitator/Systems Administrator, Center for High-Performance Computing and Communications, University of Southern California
2010 – 2013 Research Assistant Professor, Department of Physics and Astronomy, University of Southern California
Research Summary
Expertise: Research and development on low-latency high-performance algorithms and software, massively parallel molecular simulation software on peta-to-exascale computing platforms, interactive and immersive visualization tools, software disseminations and outreaches for computational materials science.
Selected Publications
1. "Game-Engine-Assisted Research platform for Scientific computing (GEARS) in Virtual Reality," B. K. Horton, R. K. Kalia, E. Moen A. Nakano, K. Nomura, M. Qian, P. Vashishta, A. Hafreager, SoftwareX, (2018).
2. “Multiobjective genetic training and uncertainty quantification of reactive force fields,” A. Mishra, S. Hong, P. Rajak, C. Sheng, K. Nomura, R. K. Kalia, A. Nakano, and P. Vashishta, npj Computational Materials 4, 42 (2018).
3. "Nanocarbon synthesis by high-temperature oxidation of nanoparticles," K. Nomura, R. K. Kalia, Y. Li, A. Nakano, P. Rajak, C. Sheng, K. Shimamura, F. Shimojo, P. Vashishta Scientific reports. 6, (2016).
4. "An extended-Lagrangian scheme for charge equilibration in reactive molecular dynamics simulations," K. Nomura, P. E. Small, R. K. Kalia, A. Nakano, P. Vashishta, Computer Physics Communications, 192, 91–96 (2015).
5. “A divide-conquer-recombine algorithmic paradigm for large spatiotemporal quantum molecular dynamics simulations,” F. Shimojo, S. Hattori, R. K. Kalia, M. Kunaseth, W. Mou, A. Nakano, K. Nomura, S. Ohmura, P. Rajak, K. Shimamura, and P. Vashishta, Journal of Chemical Physics 140, 18A529 (2014).
6. “Metascalable quantum molecular dynamics simulations of hydrogen-on-demand,” K. Nomura, R. K. Kalia, A. Nakano, P. Vashishta, K. Shimamura, F. Shimojo, M. Kunaseth, P. C. Messina, and N. A. Romero, Proceedings of Supercomputing, SC14 (ACM/IEEE, 2014).
7. ”Nanobubble collapse on a silica surface in water: Billion-atom reactive molecular dynamics simulations,” A. Shekhar, K. Nomura, R. K. Kalia, A. Nakano, P. Vashishta, Physical Review Letters, 111, 184503 (2013).
8. ”DNA sequencing via quantum mechanics and machine learning,” H. Yuen, F. Shimojo, K. J. Zhang, K. Nomura, R. K. Kalia, A. Nakano, and P. Vashishta International Journal of Computational Science 4, 352-370 (2010)
9. “A scalable parallel algorithm for dynamic range-limited n-tuple computation in many-body molecular dynamics simulation,” M. Kunaseth, R. K. Kalia, A. Nakano, K. Nomura, P. Vashishta, Proceedings of Supercomputing, SC13 (ACM/IEEE, 2013).
10. “A scalable parallel algorithm for large-scale reactive force-field molecular dynamics simulations,” K. Nomura, R. K. Kalia, A. Nakano, and P. Vashishta, Computer Physics Communications, 178, 73-87 (2008).
