My research lives at the intersection of semiconductor physics, optics and engineering. I built the setups, conducted the experiments, simulations, physical models and analysis. The core question was simple: can we look inside a semiconductor device and see where it loses useful energy?
Tel Aviv University, Energy Devices Lab, supervised by Dr. Gideon Segev.
Solar cells lose efficiency not only because of the material they are made from, but because of where charge carriers are lost inside the device: at surfaces, interfaces, depletion regions and in the bulk. My PhD developed a way to map those losses in depth using photoluminescence measurements and optical modeling.
The method extracts a Spatial External Luminescence Efficiency (SELE) profile: the probability that an electron-hole pair generated at a specific depth will eventually contribute to the emitted photoluminescence. In practice, that turns wavelength-dependent PL into a depth-resolved view of recombination, transport and voltage loss.
Built the inverse method using wavelength-dependent PL, transfer-matrix optical generation profiles and regularization tools.
Compared measured GaAs profiles with COMSOL drift-diffusion simulations and a photon-recycling model.
Applied SELE to PN junctions and PV-cell structures, including the effect of the space-charge region on emitted PL.
Used MOS capacitors and dynamic native-oxide formation measurements to study surface and interface behavior.
These interactive figures show the core idea behind the method. Different excitation wavelengths are absorbed at different depths in GaAs, so sweeping the excitation wavelength probes different regions of the sample. The extracted SELE profiles then connect the measured PL response to surface recombination, bulk lifetime and diffusion length.
Simulated SELE profiles of p-type GaAs wafers. Left: SELE profiles for wafers with surface recombination velocity between 102 cm/s and 109 cm/s and τSRH of 0.6 ns. Right: simulated SELE profiles for wafers with τSRH between 0.1 ns and 60 ns and a surface recombination velocity of 4 · 107 cm/s. All values correspond to the parameters of the minority carriers in simulation.
A new methodology that combines photoluminescence measurements, optical modeling, semiconductor physics and COMSOL simulations to spatially resolve the loss mechanisms within solar cells.
Read the paper on ACS →Photovoltaics, semiconductor devices, precision opto-mechanical mechanisms, miniature mechanical structures, kinematic and flexible connections, nanometer-scale motion, robust design for vibration and temperature, prototyping, testing and validation.
MATLAB (advanced), data processing, data visualization, automation scripting, GUI development.
Full product and system development from concept to realization, performance analysis, testing, root-cause analysis, optimization and automation. Multidisciplinary collaboration, deep research and translating technical input into practical products and results.
Experimental systems, lab instruments, CAD (SolidWorks, NX), assemblies, technical drawings, tolerances, GD&T, DFM for manual and CNC milling, lathes, sheet metal, 3D rapid prototyping and laser cutting. Experience with gears, motors, couplings, bearings, slides and materials including 6061 aluminum, 303, 304, 316L and 17-4 PH.