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Mark A. Novotny

Faculty

novotny@ccs.msstate.edu

Office: HPC 231
Phone: (662) 325-2688
Alt Phone: (662) 325-7640

PO Box 5167
Mississippi State, MS 39759

This

Biography:

Education:

Ph.D., Physics, Stanford University, 1978,
Advisor: William A. Little,
Thesis title:
I. Matrix Products with Applications to Classical Statistical Mechanics;
II. Reflectivity of One-Dimensional Solids.

B.Sc., Physics, North Dakota State University, 1973.

Honors:
Fellow, American Physical Society


Research Interests:

Nanomaterials,
Dynamics of materials,
Parallel computing,
Algorithm development for long-time simulations,
Computational science,
Statistical mechanics,
Metastability,
Computational materials,
Dynamics of magnetic materials,
Network theory,
Electrochemistry.

Selected Publications Total Publications by Mark A. Novotny:  25 
Ababtin, S. A., Adibi, S., Mun, S., Dickel, D. E., Gwaltney, S. R., Novotny, M.A., Baskes, M. I., & Horstemeyer, M. (2022). Single-Wall Carbon Nanotube Mechanical Behavior Using the Modified Embedded Atom Method with Bond Order (MEAMBO). Modelling Simul. Mater. Sci. Eng.. 30, 035004. DOI:10.1088/1361-651X/ac4d75.

Koshka, Y., Perera, M. N., Hall, J.S., & Novotny, M.A. (2016). Empirical Investigation of the Low Temperature Energy Function of the Restricted Boltzmann Machine Using a 1000 Qubit D-Wave 2X. 2016 International Joint Conference on Neural Networks (IJCNN). Vancouver, BC. pp. 1948-1954. DOI:10.1109/IJCNN.2016.7727438. [Abstract]

Sukhija, N., Novotny, M.A., Breckenridge, W. B., III, & Smith, R. L. (2015). Integrating Adiabatic Quantum Computing and XSEDE to Enhance the Current State-of-the-art Discovery Environment. XSEDE15, Conference of the Extreme Science and Engineering Discovery Environment. St. Louis, MO. [Document Site]

Hall, J.S., Novotny, M.A., Neuhaus, T., & Michielsen, K. (2015). A Study of Spanning Trees on a D-Wave Quantum Computer. Physics Procedia. University of Georgia: Elsevier Procedia. [Document]

Yancey, J. A., Novotny, M.A., & Gwaltney, S. R. (2009). Small Pure Carbon Molecules with Small World Networks Using Density Functional Theory Simulations. Int. J. Modern Physics C. World Scientific. 20(9), 1345-1356. [Document Site]