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Advancing Nanotechnology through Computational Modeling and Tool Development

Sunhee Lee is a researcher at the Network for Computational Nanotechnology (NCN) at Purdue University, specializing in the electronic properties of densely doped silicon devices and new nanofabrication techniques. With a focus on atomic-scale phenomena (100–102 nm), her work utilizes computational simulations and theoretical approaches to develop tools like NEMO 3-D for improved device modeling. Alongside her academic pursuits, Lee has significant industry experience, including software development for network and communication devices. Her goal merges research and practical applications in nanotechnology.

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Advancing Nanotechnology through Computational Modeling and Tool Development

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  1. Research Overview Sunhee Lee Network for Computational Nanotechnology (NCN) Electrical and Computer Engineering sunnyleekr@purdue.edu http://www.linkedin.com/in/sunnyleekr

  2. Network for Computational Nanotechnology • Nanotechnology • Atomic scale (100~102 nm) • Old device physics breaks down • New device, materials, geometry, fabrication methods or concepts • Computation • Simulations • Theory (bottom-up approach) • Tool development (nanoHUB.org) BJT Lab @ nanoHUB Yui, Nano Lett. 09 Graphene 30nm HEMT from MIT M.Fueschle, Nature 09 Quantum Dot Quantum Dot Lab @ nanoHUB http://nanohub.org Chin et al. IEDM 09 Si Nanowire Professor S. Datta • Network • Experimentalists • Research and publications • Education

  3. R&D Overview • Research • Electronic properties of densely doped planar silicon devices • Tool development • Develop a quantum mechanics based 3-D NanoElectronic MOdeling tool (NEMO 3-D) • Features • Atomistic description of device • Self-consistent calculation • Efficient parallel computation • Engine for nanoHUB tool(s) Densely doped P atoms on silicon New Fabrication steps • Approach/Results • Atomistic tight-binding calculation • Self-consistent method

  4. Qualifications and Plans • Plan A: Academia/Research institute • Computational science • High-performance computing • Numerical engineering • Plan B: Back to industry • Device design / design tool development • Semiconductor companies • Intel / Samsung • Academic experience • Device physics background • Co-author of 20+ publications • Software skills • C/C++/Java/HTML/Linux • Cluster computing • Industry experience • Software engineer (5.5yrs) • Developed software for network terminals (cable modems, voice over IP terminals, set-top boxes) • Knowledge of network and communication • Mass production know-how • Embedded programming

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