Maria Emelianenko, Ph.D.

Affiliations: 
2005 Pennsylvania State University, State College, PA, United States 
Area:
Mathematics
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"Maria Emelianenko"

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Qiang Du grad student 2005 Penn State
 (Multilevel and adaptive methods for some nonlinear optimization problems.)
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Publications

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Yegorov I, Torres CE, Emelianenko M. (2016) A Boltzmann-type kinetic model for misorientation distribution functions in two-dimensional fiber-texture polycrystalline grain growth Acta Materialia. 109: 230-247
Torres CE, Emelianenko M, Golovaty D, et al. (2015) Numerical analysis of the vertex models for simulating grain boundary networks Siam Journal On Applied Mathematics. 75: 762-786
Snider J, Griva I, Sun X, et al. (2015) Set based framework for Gibbs energy minimization Calphad: Computer Coupling of Phase Diagrams and Thermochemistry. 48: 18-26
Emelianenko M, Torrejon D, DeNardo MA, et al. (2014) Estimation of rate constants in nonlinear reactions involving chemical inactivation of oxidation catalysts Journal of Mathematical Chemistry. 52: 1460-1476
Di Z, Emelianenko M, Nash S. (2012) Truncated Newton-based multigrid algorithm for centroidal voronoi diagram calculation Numerical Mathematics. 5: 242-259
Barmak K, Eggeling E, Emelianenko M, et al. (2012) A first approach toward a proper generalized decomposition based time parallelization Materials Science Forum. 715: 279-285
Zhang J, Emelianenko M, Du Q. (2012) Periodic centroidal voronoi tessellations International Journal of Numerical Analysis and Modeling. 9: 950-969
Baranova A, Bode J, Manyam G, et al. (2011) An efficient algorithm for systematic analysis of nucleotide strings suitable for siRNA design. Bmc Research Notes. 4: 168
Barmak K, Eggeling E, Emelianenko M, et al. (2011) An entropy based theory of the grain boundary character distribution Discrete and Continuous Dynamical Systems. 30: 427-454
Barmak K, Eggeling E, Emelianenko M, et al. (2011) Critical events, entropy, and the grain boundary character distribution Physical Review B - Condensed Matter and Materials Physics. 83
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