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Ryan Marson

Ryan Marson Contact Information
Email rmarson@umich.edu
Phone 734.936.1381
Office North Campus Research Complex
Biointerfaces Institute, 010 G049K NCRC
2800 Plymouth Road, Ann Arbor, MI 48109
Education
Ph.D. Materials Science and Enginering, Universty of Michigan,
Ann Arbor, MI (2015).
M.S. Materials Science and Engineering, University of Michigan,
Ann Arbor, MI (2012).
M.S. Physics, University of Memphis,
Memphis, TN (2009)
B.S. Physics, University of Memphis,
Memphis, TN (2007).

Current Research

Soft Matter Simulation via Dissipative Particle Dynamics (DPD)

Dissipative Particle Dynamics is powerful tool for understanding mesoscopic behavior in soft matter systems such as polymers and biomaterials. As an example, we have recently used this technique to understand the nanoscale behavior of polymer microdroplets. These microdroplets are used in research labs at the University of Michigan to aid in tissue regeneration, and as stem cell incubators[1], and their performance depends critically on the nanoscale structure of the droplet. These simulations are massive, containing over 10 million particles, run across 128 GPUs on Blue Waters, using HOOMD-Blue[2]:

Currently, I am using this technique to probe inertial microfluidic physics, with a focus on inertial migration in non-planar channels. Our simulations will be used to better understand cell-sorting behavior in lab-on-a-chip devices that allow for cancer detection via rare circulating tumor cells (CTCs).[3]

Drug Crystallization via Coarse-Grained Molecular Dynamics (MD)

Computer simulations can also provide valuable insight into nanoscale behavior that is critical for the pharmaceutical industry and beyond. For drug delivery, it is important to suppress the crystallization of drug molecules - both to increase bio-availability, and to avoid any harmful effects within the body. We are currently using multiple coarse-grained approaches to understand the crystallization and growth of small drug molecules. Currently, it technologically intractable to perform fully atomistic MD simulations that fully capture nucleation and growth. Through coarse-graining, however, we can sufficiently reduce the computational complexity to fully capture crystallization.

References:

[1] http://bme.umich.edu/regenerative-medicine-injectable-stem-cell-incubator

[2] Zhang, Z., Marson, R. L., Ge, Z., Glotzer, S. C., & Ma, P. X. (2015). Simultaneous Nano‐and Microscale Control of Nanofibrous Microspheres Self‐Assembled from Star‐Shaped Polymers. Advanced Materials, 27(26), 3947-3952.

[3] Amini, H., Lee, W., & Di Carlo, D. (2014). Inertial microfluidic physics. Lab on a Chip, 14(15), 2739-2761.

[4] Salvalaglio, M., Perego, C., Giberti, F., Mazzotti, M., & Parrinello, M. (2015). Molecular-dynamics simulations of urea nucleation from aqueous solution. Proceedings of the National Academy of Sciences, 112(1), E6-E14.