Gerhard Klimeck

Gerhard Klimeck is a German-American scientist and author in the field of nanotechnology. He is a professor of Electrical and Computer Engineering at Purdue University School of Electrical and Computer Engineering.

As the director of nanoHUB, he conducts the technical developments and strategies of nanoHUB, which annually serves million users worldwide with online simulations, tutorials, and seminars. Provided by Wikipedia
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  1. 1
    Design of three-well indirect pumping terahertz quantum cascade lasers for high optical gain based on nonequilibrium Green’s function analysis

    Design of three-well indirect pumping terahertz quantum cascade lasers for high optical gain based on nonequilibrium Green’s function analysis by Liu, Tao, Kubis, Tillmann, Wang, Qi Jie, Klimeck, Gerhard

    Published 2013
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    Journal Article
  2. 2
    Computational electronics : semiclassical and quantum device modeling and simulation /

    Computational electronics : semiclassical and quantum device modeling and simulation / by 482937 Vasileska, Dragica, Goodnick, Stephen M. (Stephen Marshall), 1955-, Klimeck, Gerhard

    Published 2010
  3. 3
    Multiscale Metrology and Optimization of Ultra-Scaled InAs Quantum Well FETs

    Multiscale Metrology and Optimization of Ultra-Scaled InAs Quantum Well FETs by Kharche, Neerav, Klimeck, Gerhard, Kim, Dae-Hyun, Luisier, Mathieu, del Alamo, Jesus A.

    Published 2014
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    Article
  4. 4
    nanoHUB.org: cloud-based services for nanoscale modeling, simulation, and education

    nanoHUB.org: cloud-based services for nanoscale modeling, simulation, and education by Madhavan Krishna, Zentner Lynn, Farnsworth Victoria, Shivarajapura Swaroop, Zentner Michael, Denny Nathan, Klimeck Gerhard

    Published 2013-02-01
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    Article
  5. 5
    Research in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of open problems

    Research in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of open problems by Babović, Zoran, Bajat, Branislav, Đokić, Vladan, Đorđević, Filip, Drašković, Dražen, Filipović, Nenad, Furht, Borko, Gačić, Nikola, Ikodinović, Igor, Ilić, Marija, Irfanoglu, Ayhan, Jelenković, Branislav, Kartelj, Aleksandar, Klimeck, Gerhard, Korolija, Nenad

    Published 2023
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    Article
  6. 6
    Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms and four different management domains

    Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms and four different... by Babović, Zoran, Bajat, Branislav, Barac, Dusan, Bengin, Vesna, Đokić, Vladan, Đorđević, Filip, Drašković, Dražen, Filipović, Nenad, French, Stephan, Furht, Borko, Ilić, Marija, Irfanoglu, Ayhan, Kartelj, Aleksandar, Kilibarda, Milan, Klimeck, Gerhard

    Published 2023
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    Article

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