Greetings! I'm Paul, I make advanced semiconductors
Doctorate in thin-film semiconductors with over 10 years of experience in solving material science research questions.
Material science I understand is the most fundamental form of engineering that interlinks the sciences with other application-driven engineering fields. From making novel nanocrystalline surface architecture for efficient charge-discharge dynamics in an energy storage cell, to making efficient infrared sensors that can observe the far reaches of the universe, the future of technology will come through material science.
Starting from my first project in 2010, where I studied the surface tension in different cooking oils to analyze the quantity of trans fatty acids present, to completing my Ph.D. in Ultra wide band gap semiconductor materials in 2023, material science has been the centerpiece of my research interests.
My expertise lies in
Crystal growth and lattice tuning
Nanocrystalline surface morphology tuning and analyses
Optoelectronic characterization and analysis
Cathode metal oxide active layer synthesis and structure optimization
Battery testing and analysis
Functional property analyses of doped and ternary metal oxide thin films
Novel research performed
Synthesized novel UWBG cristobalite GeO2 thin films using Radio frequency magnetron sputter (RFMS).
Synthesized novel UWBG α-quartz GeO2 thin films using Pulsed laser deposition (PLD).
Demonstrated power electronic and optoelectronic properties of c-GeO2 and α-quartz GeO2 thin films that can transcend current DUV sensor technology.
Demonstrated excellent pseudocapacitive behavior in novel GeO2 and Sn2xGe1-xO2 electrode active layer for micro-supercapacitor applications.
Employed Bayesian optimization with Gaussian processes to optimize GeO2/Al2O3 hetero-interface growth hyper-parameters in RFMS.
Synthesized and demonstrated band gap tuning in α-quartz GeO2 thin films via Sn incorporation.
Research Interests
Ultra-Wide Bandgap Oxide Semiconductors
Crystal Growth Dynamics
Micro-supercapacitors
Machine learning assisted thin film synthesis
Materials for Power Electronic Devices
Research Methodology
Ph.D.work in a nutshell
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