Jens joined ORNL in March 2020. He graduated from Leipzig University, Germany with a doctorate in Physics in 2011, where he worked with Klaus Kroy on analytical models of biopolymer networks. Actin filaments in the cytoskeleton constitute an important example. During his graduate studies, he first came into contact with GPUs for scientific computation in 2009, and later explored their use for the simulation of block copolymer phase transitions, as a Postdoc with David Morse (Chemical Engineering and Materials Science, University of Minnesota). In particular, he demonstrated universality of coarse-grained models of block copolymer melts beyond the self-consistent mean-field theories, using molecular simulation.

He is also a developer of the general-purpose, GPU accelerated simulation toolkit HOOMD-blue. Jens designed its multi-GPU capabilities and tested them on the Titan supercomputer at OLCF not long after it had completed acceptance testing in 2013. From 2013-2020, Jens was a Postdoc and Assistant Research Scientist in Sharon Glotzer’s group (Chemical Engineering, University of Michigan), working on HOOMD development and colloidal crystallization.

His research focuses on colloidal and bio-molecular self-assembly, including depletion interactions and protein crystallization. At ORNL, Jens is developing efficient parallel simulation algorithms to investigate assembly pathways of novel synthetic nano- and biomaterials. He assists users to optimize and run their codes on facility resources.


Leipzig University
Doctor of Philosophy (Ph.D.)

Staff Activities

Open Source Contribution:


Open-source toolkit for particle-based simulation


Glaser, J., Sedova, A. , Galanie, S., Kneller, D.W., Davidson, R. B., Maradzike, E. , Del Galdo, S., Labbé, A., Hsu, D. J., Agarwal, R., Bykov, D., Tharrington, A., Parks, J. M., Smith, D.M.A., Daidone, I.. Coates, L., Kovalevsky, A., and Smith, J. C., (2022), Hit Expansion of a Noncovalent SARS-CoV-2 Main Protease Inhibitor,
Glaser, J., Vermaas, J. V., Rogers, D. M., Larkin, J. LeGrand, S., Boehm, S., Baker, M. B. , Scheinberg, A., Tillack, A. F., Thavappiragasam, M., Sedova, A., Hernandez, O., (2021), High-throughput virtual laboratory for drug discovery using massive datasets, International Journal for High Performance Computing Applications, doi: 10.1177/10943420211001565
Simon, A. J., Zhou, Yi, Ramasubramani, V., Glaser, J., Pothukuchy, A., Gerberich, J., Leggere, J., Golihar, J., Jung, C., Glotzer, S. C., Taylor, D. W. & Ellington, A. D., (2019) Supercharging enables organized assembly of synthetic biomolecules, Nature Chemistry 11:204–212 (Cover story)
Glaser, J., Karas, A.S., & Glotzer, S.C. (2015) A parallel algorithm for implicit depletant simulations, The Journal of Chemical Physics 143:184110, doi: 10.1063/1.4935175
Glaser, J., Nguyen, T., Anderson, J., Lui, P., Spiga, F., Millan, J., Morse, D. & Glotzer, S. C. (2015) Strong scaling of general-purpose molecular dynamics simulations on GPUs, Computer Physics Communications, 192, 97-107, doi: 10.1016/j.cpc.2015.02.028 (highly cited paper)