MT
M. Julie Therese
Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram, Sri Manakula Vinayagar Engineering College, Francis Xavier Engineering College, IFET College of Engineering
About
ZnO | CuO | oxide semiconductors | defect engineering | memristors | photomemristors | persistent photoconductivity | resistive switching | neuromorphic devices | optoelectronics | thin-film fabrication | device characterization | DFT/AIMD
Employment
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Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram Research Scholar2022 - Present
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Sri Manakula Vinayagar Engineering College Assistant Professor2015 - 2021
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Francis Xavier Engineering College Assistant Professor2013 - 2015
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Sri Manakula Vinayagar Engineering College Assistant Professor2011 - 2012
Education
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Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram PhD2023 - 2027
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Sri Manakula Vinayagar Engineering College M.Tech.2009 - 2011
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IFET College of Engineering B.Tech.2005 - 2009
Projects & Funding
Projects & funding information is unavailable.
Publications (19)
- Atomistic Insights of Orbital Engineering in a-CuO Through First-Principles Study Save
- Modelling and Simulation of Threshold Switching Memristors for Next-Generation Memory and Neuromorphic Computing Save
- Performance Evaluation of First and Second Order Memristor Models in Memory Cells: Power and Temperature Considerations Save
- Exploration of Defect Engineering in h-BN for Prospective Quantum Electronics Save
- Utilizing Native Defect Engineering and Doping in BaTiO3 to Foster the Development of Memristive Devices Through First-Principles Calculations Save
- Ab Initio Analysis of the Filamentary Behavior Assisted by Ionic Boron Frenkel-Pair Defects in h-BN Planar-Atomristor Save
- First-Principles Calculations to Establish the Functionality of Self-Connected Point-Defect Migrations in n-ZnO- and p-CuO-Based Memristive Devices Save
- Rotation Scheme Based Power Consumption Analysis for Wireless Sensor Network Save
- Credit Card Assent Using Supervised Learning Save
- Green Cloud Based Efficient Security Mechanism for Aadhaar Voting System Save