Computational modeling & design of soft matter for engineering applications Thomas M. Truskett
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1 Computational modeling & design of soft matter for engineering applications Thomas M. Truskett Graduate student recruiting weekend 2015
2 Inverse design of self-assembling nanocrystalline materials: From superlattices to reconfigurable mesoscopic networks collaborations w/ Korgel & Milliron (National Science Foundation) Jain et al. Soft Matter 9, (2013) Jain et al. J. Chem. Phys. 139, (2013) Jain et al. Phys. Rev. X 4, (2014)
3 Inverse design of self-assembling nanocrystalline materials: From superlattices to reconfigurable mesoscopic networks collaborations w/ Korgel & Milliron (National Science Foundation) Yu et al. Faraday Discussions (2015) Jain et al. Soft Matter 9, (2013) Jain et al. J. Chem. Phys. 139, (2013) Jain et al. Phys. Rev. X 4, (2014)
4 Inverse design of self-assembling nanocrystalline materials: From superlattices to reconfigurable mesoscopic networks collaborations w/ Korgel & Milliron (National Science Foundation) Yu et al. Faraday Discussions (2015) Jain et al. Soft Matter 9, (2013) Jain et al. J. Chem. Phys. 139, (2013) Jain et al. Phys. Rev. X 4, (2014) Jadrich et al. Phys. Rev. Lett. (under review)
5 Graphoepitaxy for directed nanoparticle assembly collaboration w/ Bonnecaze (NASA) Ferraro, Bonnecaze, and Truskett Phys. Rev. Lett. 2014; 113,
6 Graphoepitaxy for directed nanoparticle assembly collaboration w/ Bonnecaze (NASA) Ferraro, Bonnecaze, and Truskett Phys. Rev. Lett. 2014; 113,
7 Concentrated protein solutions for sub-q injection collaboration w/ Johnston & Maynard (NIH, NSF, industry)
8 Concentrated protein solutions for sub-q injection collaboration w/ Johnston & Maynard (NIH, NSF, industry) Johnston et al., ACS Nano (2012); Borwankar et al. Soft Matter (2013)
9 Concentrated protein solutions for sub-q injection collaboration w/ Johnston & Maynard (NIH, NSF, industry) Johnston et al., ACS Nano (2012); Borwankar et al. Soft Matter (2013)
10 Assembling biodissociating gold nanoclusters for diagnostics and therapy collaboration w/ Johnston and Sokolov (MD Anderson) (NIH) Murthy et al., JACS (2013); ACS Nano (2013); J. Phys. Chem. C (2014)
11 Assembling biodissociating gold nanoclusters for diagnostics and therapy collaboration w/ Johnston and Sokolov (MD Anderson) (NIH) Murthy et al., JACS (2013); ACS Nano (2013); J. Phys. Chem. C (2014)
12 Core skill set you can develop Computational statistical mechanics Equilibrium and nonequilibrium molecular dynamics, Brownian dynamics, and Monte Carlo simulations. Stochastic optimization Theory & Modeling Classical density functional theory, generalized Smoluchowski approaches, perturbation methods, integral equation theory, and coarse-graining strategies Experimental characterization Static and dynamic light scattering, neutron scattering, and cryo-em
13 Core skill set you can develop Computational statistical mechanics Equilibrium and nonequilibrium molecular dynamics, Brownian dynamics, and Monte Carlo simulations. Stochastic optimization Theory & Modeling Classical density functional theory, generalized Smoluchowski approaches, perturbation methods, integral equation theory, and coarse-graining strategies Experimental characterization Static and dynamic light scattering, neutron scattering, and cryo-em
14 Core skill set you can develop Computational statistical mechanics Equilibrium and nonequilibrium molecular dynamics, Brownian dynamics, and Monte Carlo simulations. Stochastic optimization Theory & Modeling Classical density functional theory, generalized Smoluchowski approaches, perturbation methods, integral equation theory, and coarse-graining strategies Experimental characterization Static and dynamic light scattering, neutron scattering, and cryo-em
15 QUESTIONS?
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