Our research experts
Georgy Samsonidze, Ph.D.
Reducing cost and time in materials development with atomistic simulations
“We contribute to the development of next-generation materials for energy conversion and storage applications using classical and quantum atomistic simulations coupled with continuum-level modeling and machine-learning techniques.”
We use quantum mechanical simulations for predicting properties of materials at the atomic scale. The properties are varied (conductivity, stability, reactivity, sensitivity, selectivity) and application specific (thermoelectrics, batteries, fuel cells, sensors). We perform a computational screening of candidate materials for the desired property and suggest promising candidates for experimental synthesis and characterization.
Robert Bosch GmbH
Discovery of new thermoelectric material, Synthesized new thermoelectric material predicted by computational screening
Design of novel photovoltaic materials, Computational design of new polymers and silicon alloys for photovoltaics
Development of methods for modeling carbon nanostructures, Explained anomalous patterns in photoluminescence spectra of carbon nanotubes
G. Samsonidze & B. Kozinsky (2018)Accelerated screening of thermoelectric materials by first-principles computations of electron-phonon scattering
- Advanced Energy Materials
K. I. S. Mongcopa et al. (2018)Relationship between segmental dynamics measured by quasi-elastic neutron scattering and conductivity in polymer electrolytes
- K. I. S. Mongcopa, M. Tyagi, J. P. Mailoa, G. Samsonidze, B. Kozinsky, S. A. Mullin, D. A. Gribble, H. Watanabe, N. P. Balsara
- ACS Macro Letters, vol. 7, issue 4
G. Joshi et al. (2014)NbFeSb-based p-type half-Heuslers for power generation applications
- G. Joshi, R. He, M. Engber, G. Samsonidze, T. Pantha, E. Dahal, K. Dahal, J. Yang, Y. Lan, B. Kozinsky, Z. Ren
- Energy & Environmental Science, issue 12
G. Samsonidze et al. (2014)Insights and challenges of applying the GW method to transition metal oxides
- G. Samsonidze, C. Park, B. Kozinsky
- Journal of Physics: Condensed Matter, vol. 26, issue 47
C. Park et al. (2014)Electron-phonon interactions and the intrinsic electrical resistivity of graphene
- C. Park, N. Bonini, T. Sohier, G. Samsonidze, B. Konzinsky, M. Calandra, F. Mauri, N. Mazari
- Nano Letters, vol. 14, issue 3, p. 1113-1119
J. Deslippe et al. (2012)BerkeleyGW: A massively parallel computer package for the calculation of the quasiparticle and optical properties of materials and nanostructures
- J. Deslippe, G. Samsonidze, D. A. Strubbe, M. Jain, M. L. Cohen, S. G. Louie
- Computer Physics Communications, vol. 183, issue 6, p. 1269-1289
G. Samsonidze et al. (2011)Simple approximate physical orbitals for GW quasiparticle calculations
- G. Samsonidze, M. Jain, J. Deslippe, M. L. Cohen, S. G. Louie
- Physical Review Letters
C. Tao et al. (2009)Spatial resolution of a type II heterojunction in a single bipolar molecule
- C. Tao, J. Sun, X. Zhang, R. Yamachika, D. Wegner, Y. Bahri, G. Samsonidze, M. L. Cohen, S. G. Louie, T. D. Tilley, R. A. Segalman, M. F. Crommie
- Nano Letters, vol. 9, issue 12, p. 3963-3967
G. Samsonidze et al. (2004)Family behavior of the optical transition energies in single-wall carbon nanotubes of smaller diameters
- G. Samsonidze, R. Saito, N. Kobayashi, A. Grüneis, J. Jiang, A. Jorio, S. G. Chou, G. Dresselhaus, M. S. Dresselhaus
- Applied Physics Letters
M. Zhen et al. (2003)Structure-based carbon nanotube sorting by sequence-dependent DNA assembly
- M. Zheng, A. Jagota, M. S. Strano, A. P. Santos, P. Barone, S. G. Chou, B. A. Diner, M. S. Dresselhaus, R. S. Mclean, G. B. Onoa, G. Samsonidze, E. D. Semke, M. Usrey, D. J. Walls
- Science, vol. 302, issue 5650, p. 1545-1548
Interview with Georgy Samsonidze, Ph.D.
Lead Engineer Computational Materials Science
Please tell us what fascinates you most about research.
Finding myself in an altered state of mind when I become too much submerged into solving a complex technical problem. The introvert in me really enjoys these moments.
What makes research done at Bosch so special?
Continuous validation of our computational methods and tools through close collaboration with experimental teams. This is relatively rare in academia, where computational and experimental groups mostly interact through publications.
What research topics are you currently working on at Bosch?
Developing next-generation materials for sensors and fuel cells that will increase their performance and lifetime.
What are the biggest scientific challenges in your field of research?
The biggest challenges lie in understanding the structure–property relationships of materials. Currently, we have to screen materials databases, compute properties of each material, and select candidates with the desired properties for a specific application. This is computationally expensive and inefficient because of endless possibilities for new material structures. If we could invert the structure–property relationships, we would be able to directly obtain the structure of a material that has the desired properties.
How do the results of your research become part of solutions "Invented for life"?
We design and develop new materials that help to improve the quality, safety, and durability of future Bosch products, thus contributing to customer satisfaction and company success.