A key research interest of mine is the advancement of molecular simulations to model soft condensed matter using both classical and ab initio methods.
As a member of the ALCF catalyst team, I work closely with researchers to help them accomplish their scientific goals using leadership computational resources. To address the unique challenges of efficiently using leadership-scale resources at ALCF, I assist researchers with profiling and debugging their codes, discuss strategies and provide general guidance on code parallelization, I/O, load-balancing, workflow design, and data management. Important components of this work are training users on key high-performance computing topics and collaborating with researchers to advance their scientific mission.
With the recent establishment of the Computational Science Division (CPS) at Argonne, the ALCF catalyst team was relocated in 2018 to their new home within the new division. I'm currently team lead for the biology, chemistry, and materials science subteam. While my ALCF catalyst responsibilities remain the same, I'm additionally working to develop new cross-cutting programs. Collaborating closely with others in CPS and across Argonne, I'm helping to address some of the most challenging scientific problems through advanced computing and simulation, all in preparation for the United States' first exascale computer Aurora schedule to arrive at ALCF in 2021.
- Statistical Mechanics & High-performance scientific computing
- Computer simulations via first principle methods (KS- and OF-DFT)
- Condensed phase simulations: classical and quantum dynamics, multiscale processes, accurate and computationally efficient simulation of chemical reactions
- Chemistry at interfaces: aqueous systems, batteries and supercapacitors, fuel cells, biofuels, smart materials, and nanoporous materials
- Interactions of matter with soft and hard x-rays
- Researchers develop new approach for studying reaction equilibria in complex chemical systems
- Argonne Discovery Yields Self-Healing Diamond-Like Carbon
- Extreme Computing at Harvard
- Simulations lead to design of near-frictionless material
- ALCF supercomputer helps identify materials to impove fuel production
- ANL Pacesetter Award with Vitali Morozov and Scott Parker, June 2017: "For extradordinary effort in early testing of the Intel Xeon Phi Knights Landing chip, porting several science applications of interest to LCF to the new platform, and documenting best practices and lessons learned to benefit the entire LCF user community." "Their efforts contributed to an early installation and quick acceptance of Theta."
- Evgenii O. Fetisov, Mansi S. Shah, Christopher Knight, Michael Tsapatsis, and J. Ilja Siepmann, "Understanding the Reactive Adsorption of H2S and CO2 in Sodium-Exchanged Zeolites", ChemPhysChem, 14:512 (2018).
- Hasan Metin Aktulga, Chris Knight, Paul Coffman, Kurt A. O'Hearn, Tzu-Ray Shan, and Wei Jiang, "Optimizing the Performance of Reactive Molecular Dynamics Simulations for Multi-core Architectures", IJHPCA (accepted).
- Scott Parker, Vitali Morozov, Sudheer Chunduri, Kevin Harms, Chris Knight, and Kalyan Kumaran, "Early Evaluation of he Cray XC40 Xeon Phi System 'Theta' at Argonne" Cray User Group 2017 (CUG'17), May 2017, Redmond, WA.
- Daniel R. Moberg, Shelby C. Straight, Christopher Knight, and Francesco Paesani, "Molecular Origin of the Vibrational Structure of Ice Ih", J. Phys. Chem. Lett. 8:2579 (2017).
- Phay J. Ho and Chris Knight, "Large-scale Atomistic Calculations of Cluster in Intense X-ray Pulses", J. Phys. B: At. Mol. Opt. Phys., 50:104003 (2017).