Nick completed his PhD in the Department of Mechanical Engineering at the University of Connecticut, advised by Prof. Chih-Jen Sung. He works on methods to reduce the computational cost of incorporating detailed chemical kinetics in multidimensional combustion simulations, including dynamic adaptive chemistry and GPU-based chemistry integration.
Nick Curtis
Affiliated PhD graduate
Papers
An investigation of GPU-based stiff chemical kinetics integration methods
pyJac: Analytical Jacobian generator for chemical kinetics
An automated target species selection method for dynamic adaptive chemistry simulations
Conference Papers
Niemeyer KE, Alferman A, Lorson P, Klee EF, Curtis NJ, Sung CJ. "Software Library for Accelerating Chemical Kinetics on Hybrid Architectures: the SLACKHA Project." SIAM Conference on Computational Science and Engineering (CSE19), Spokane, WA, USA. February 2019