Rate My Professor Andrey Semichaevsky

His academic interests center on computational physics and materials science, particularly developing ab initio methods using Green’s functions to predict molecular optical properties and excited states, overcoming limitations of density functional theory. Funded by a 2020-2021 Faculty Development Grant, this work involved XSEDE supercomputers, Monte Carlo integrations, and parallel computing. Earlier research encompasses first-principles optical property calculations for MgB₂ and SiC (2006-2008), metamaterial-loaded planar antennas, phase-space tomography for phase retrieval, and photovoltaic studies including carrier transport in polycrystalline silicon at high injection levels and temperature-induced degradation of solar cell efficiency. Key publications feature “Phase retrieval and phase-space tomography from incomplete data sets” (2004), “First-principles studies of the optical properties of MgB₂: computational vs. experimental results” (2007), “Carrier transport in polycrystalline silicon at high optical injection” (2018), and presentations on minority carrier trapping in silicon at WCPEC-7 (2018). Semichaevsky has contributed to conferences such as APS March Meetings, IEEE PVSC, and URSI.