Laalitha S. I. Liyanage, Ph.D.
Affiliations: | 2012 | Physics and Astronomy | Mississippi State University, Starkville, MS, United States |
Area:
Condensed Matter Physics, Computational Materials Science EngineeringGoogle:
"Laalitha Liyanage"Bio:
I started my career in science at the University of Peradeniya in Sri Lanka where I pursued a bachelor's in science with specialization in physics. Following graduation I was accepted to the Applied Physics PhD program of the Department of Physics at Mississippi State University (MSU) with a research assistant position at the Center for Advanced Vehicular Systems (CAVS) at MSU. Under the guidance of Prof. Seong-Gon Kim I completed a Ph.D in engineering in 2012. Following my PhD I was offered a position as a post-doctoral research associate with Dr. Marco Fornari of Central Michigan University and Prof. Marco Buongiorno Nardelli of University of North Texas, to work on high-throughput materials design techniques and infrastructure. I contributed infrastructure to automate computational materials calculations for thousands of materials using high-performance computer systems.
Parents
Sign in to add mentor| Seong-Gon Kim | grad student | 2012 | Mississippi State University | |
| (Investigation of structure-property relationships in materials using Ab-initio and Semi-empirical methods.) | ||||
| Marco B. Nardelli | post-doc | 2013-2016 | University of North Texas (Physics Tree) | |
Collaborators
Sign in to add collaborator| Priya Gopal | collaborator | 2013-2016 | University of North Texas (Physics Tree) |
Publications
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| Veremyev A, Liyanage L, Fornari M, et al. (2020) Networks of Materials: Construction and Structural Analysis Aiche Journal |
| Buongiorno Nardelli M, Cerasoli FT, Costa M, et al. (2018) PAOFLOW: A utility to construct and operate on ab initio Hamiltonians from the projections of electronic wavefunctions on atomic orbital bases, including characterization of topological materials Computational Materials Science. 143: 462-472 |
| Supka AR, Lyons TE, Liyanage L, et al. (2017) AFLOWπ: A minimalist approach to high-throughput ab initio calculations including the generation of tight-binding hamiltonians Computational Materials Science. 136: 76-84 |
| Kim SG, Horstemeyer MF, Baskes MI, et al. (2009) Semi-empirical potential methods for atomistic simulations of metals and their construction procedures Journal of Engineering Materials and Technology, Transactions of the Asme. 131: 0412101-0412109 |