Lawrence Daniel Stephen Tamil

About

I am a researcher in Physics and Photovoltaics, with a strong interest in silicon solar cell technology, semiconductor processing, and machine learning for photovoltaic applications.
I recently completed my Ph.D. research at Anna University, focusing on the enhancement of saw damage removal in silicon wafers using machine learning for photovoltaic applications. My research involved silicon wafer etching, KOH-based saw damage removal, Metal-Assisted Chemical Etching, surface characterization, and the application of machine learning techniques to optimize semiconductor processing.
My research interests are Silicon solar cell fabrication and optimization, Saw damage removal and silicon wafer texturing, Metal-Assisted Chemical Etching, Machine learning for photovoltaic manufacturing, Thin films and transparent conductive oxides, Sputtering and process-induced damage, Optical and electrical characterization of semiconductor materials. I am also interested in developing practical research solutions that combine experimental semiconductor processing with data-driven and machine-learning approaches to improve photovoltaic device performance.
Currently I am in Nagoya University, Japan as a JST Lotus Fellow

Employment

• SSN College of Engineering Junior Research Assistant
  2021 - 2022

Education

• The American College M.Sc Physics
  2019 - 2021
• The American College B.Sc Physics
  2016 - 2019

Projects & Funding

Projects & funding information is unavailable.

Publications (5)

• A Generalized Precise Approach for KOH Etching in Monocrystalline Silicon Wafer with an Orientation of < 100 > using Machine Learning
  Silicon 2025 DOI: 10.1007/s12633-025-03350-3
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• Investigation of the role of Saw damage in Silver catalyzed Metal Assisted Chemical Etching on Multicrystalline Silicon for Solar cell Application
  Lawrence Daniel Stephen Tamil, G. Aravindan, Jeffrey Joseph John Jeya Kamaraj +4 more
  Silicon 2024 DOI: 10.1007/s12633-023-02774-z
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• Cation-boosted CoMoSe2@Ti3C2 hybrid electrode framework for high-performance asymmetric supercapacitors
  New Journal of Chemistry 2024 DOI: 10.1039/D4NJ04065A
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• Synergistic design of Mo-intercalated NiSe2: a binary transition metal chalcogenide for highly efficient bifunctional seawater electrolysis
  Jeffrey Joseph John Jeya Kamaraj, Lawrence Daniel Stephen Tamil, Muthu Senthil Pandian +1 more
  Journal of Applied Electrochemistry 2024 DOI: 10.1007/s10800-023-02016-5
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• Enhanced Photocatalytic Degradation of ZnTiO3/Polycarbazole (PCz) Composite Towards Toxic Azo Dye
  Jeffrey Joseph John Jeya Kamaraj, Padmanaban Annamalai, Lawrence Daniel Stephen Tamil +3 more
  Arabian Journal for Science and Engineering 2023 DOI: 10.1007/s13369-022-07570-2
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