Dr. Christopher Stiles is the Electrical and Mechanical Engineering Group Chief Scientist at the Johns Hopkins University Applied Physics Laboratory. Dr. Stiles also holds appointments as Assistant Research Professor in the Mechanical Engineering Department and Program Vice Chair of Mechanical Engineering for the Engineering for Professionals Program within The Johns Hopkins University’s Whiting School of Engineering, and is a Hopkins Extreme Materials Institute Fellow.
Dr. Stiles joined JHUAPL as a senior research scientist and is a expert and thought leader in computational techniques and their application to critical mission driven problems for the US government. Dr. Stiles is a computational researcher who specializes in multiscale computational methods, including an array of projects that span from initiatives in quantum biology, to novel developing, to informing the future of in-situ resource utilization efforts. For the last several years he enabled convergent research between data scientists and physical scientists specializing in fields ranging from quantum engineering, to materials science, to chemistry, to biology, and more.
Dr. Stiles’ research focuses on multiscale computational modeling of materials and their interaction with dynamic environments. His recent work builds on existing artificial intelligence tools to enable discoveries in materials science, chemistry, and biology. Some recent research success includes creating a machine learning framework for materials discovery that has resulted in the discovery of novel superconductor materials.
- BS Physics and Mathematics, University at Albany – State University of New York
- PHD Nanoscale Science & Engineering, University at Albany – State University of New York
Senior Professional Staff, JHU Applied Physics Laboratory
C. D. Stiles and Y. Xue, “High density ratio lattice Boltzmann method simulations of multicomponent multiphase transport of H2O in air,” Computers & Fluids, vol. 131, pp. 81-90, 2016.
C. D. Stiles and Y. Xue, “Lattice Boltzmann simulation of transport phenomena in nanostructured cathode catalyst layer for proton exchange membrane fuel cells,” MRS Online Proceedings Library (OPL), vol. 1384, p. mrsf11-1384-b06-02, 2012.
E. A. Pogue, A. New, K. McElroy, N. Q. Le, M. J. Pekala, I. McCue, E. Gienger, et al., “Closed-loop machine learning for discovery of novel superconductors,” arXiv preprint arXiv:2212.11855, 2022.
K. M. Salerno, J. Domenico, N. Q. Le, C. D. Stiles, I. A. Solov’yov, and C. F. Martino, “Long-Time Oxygen Localization in Electron Transfer Flavoprotein,” Journal of Chemical Information and Modeling, vol. 62, no. 17, pp. 4191-4199, 2022.
A. New, M. J. Pekala, N. Q. Le, J. Domenico, C. D. Piatko, and C. D. Stiles, “Curvature-informed multi-task learning for graph networks,” arXiv preprint arXiv:2208.01684, 2022.
A. New, M. Pekala, E. A. Pogue, N. Q. Le, J. Domenico, C. D. Piatko, and C. D. Stiles, “Evaluating the diversity and utility of materials proposed by generative models,” in 1st Workshop on the Synergy of Scientific and Machine Learning Modeling, 2023.
Y. Gu, C. D. Stiles, and J. A. El-Awady, “A Statistical Perspective for Predicting the Strength of Metals: Revisiting the Hall-Petch Relationship using Machine Learning,” arXiv preprint arXiv:2209.04891, 2022.
N. Le, A. Podpirka, and C. Stiles, “Predicting quasi-two-dimensional electronic structure in Sb2Te3-based alloys,” ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, vol. 257, 2019.
C. D. Stiles, “Lattice Boltzmann Simulation of Multiphase Transport in Nanostructured PEM Fuel Cells,” State University of New York at Albany, 2016.
Y. Xue, A. Hmiel, and C. Stiles, “Atomic, electronic, and transport properties of quasi-one-dimensional nanostructures,” in Carbon Nanotubes and Associated Devices, pp. 179-187, 2008.
N. Q. Le, J. Domenico, K. M. Salerno, and C. D. Stiles, “Atomic-Scale Modeling for Materials and Chemistry.”, Johns Hopkins APL Technical Digest, Volume 36, Number 4 (2023)
American Institute of Aeronautics and Astronautics (AIAA)
American Physical Society (APS)
Materials Research Society (MRS)
The Minerals, Metals & Materials Society (TMS)
Society of Manufacturing Engineers (SME)