Tags: Monte Carlo simulation

All Categories (1-20 of 32)

  1. Monte Carlo HEMT Simulator

    12 Nov 2021 | Contributor(s):: Shaikh S. Ahmed, Mohammad Zunaidur Rashid, Khadija Abul Khair

    Simulates the current-voltage (I-V) and related characteristics of a nitride-based HEMT device using the 3-D particle-based Monte Carlo approach.

  2. Ruslan Allayarov

    https://nanohub.org/members/278942

  3. Gibbs Adsorption Simulator

    10 Oct 2019 | | Contributor(s):: Julian C Umeh, Thomas A Manz

    Simulates the adsorption of gases using Gibbs ensemble

  4. Mixed Gas Diffusion Calculator

    28 Jun 2019 | | Contributor(s):: Julian C Umeh, Thomas A Manz

    Simulates the diffusion of a gas mixture onto a metal organic framework

  5. Mixed Gas Adsorption Calculator

    28 Jun 2019 | | Contributor(s):: Julian C Umeh, Thomas A Manz

    This tool calculated the average adsorption of a gas mixture

  6. VLE Simulator

    14 Jun 2019 | | Contributor(s):: Julian C Umeh, Thomas A Manz

    Simulates the vapor liquid equilibrium of the first five Alkanes

  7. Gas Adsorption Calculator

    11 Jun 2019 | | Contributor(s):: Julian C Umeh, Thomas A Manz

    Simulates gas adsorption onto metal organic frameworks

  8. Thomas A Manz

    Tom Manz is a Chemical & Materials Engineering faculty at New Mexico State University. His research group develops new computational chemistry methods and physical interaction models. He is the...

    https://nanohub.org/members/222347

  9. Composite Filament Simulation 3D

    15 Feb 2019 | | Contributor(s):: Zachary Yun, Michelle Zhang, Ganesh Vurimi, Hayden Taylor

    Simulate electrical properties of a nanowire composite filament.

  10. jara siddika

    staff, RUET

    https://nanohub.org/members/214566

  11. Harshit Pandey

    I'm a Final Year UG student pursuing B.Tech in Mechanical Engineering. I wish to pursue MS in Material Science and Engineering and further develop better materials for wide array of products...

    https://nanohub.org/members/207057

  12. Applying Machine Learning to Computational Chemistry: Can We Predict Molecular Properties Faster without Compromising Accuracy?

    14 Aug 2017 | | Contributor(s):: Hanjing Xu, Pradeep Kumar Gurunathan

    Non-covalent interactions are crucial in analyzing protein folding and structure, function of DNA and RNA, structures of molecular crystals and aggregates, and many other processes in the fields of biology and chemistry. However, it is time and resource consuming to calculate such interactions...

  13. Steve Broadbent

    https://nanohub.org/members/136957

  14. Sheng Ying Yue

    https://nanohub.org/members/120281

  15. Zhao Li

    https://nanohub.org/members/115622

  16. Zhichao Yang

    https://nanohub.org/members/89859

  17. Device Physics Studies of III-V and Silicon MOSFETS for Digital Logic

    28 Jun 2013 | | Contributor(s):: Himadri Pal

    III-V's are currently gaining a lot of attraction as possible MOSFET channel materials due to their high intrinsic mobility. Several challenges, however, need to be overcome before III-V's can replace silicon (Si) in extremely scaled devices. The effect of low density-of-states of III-V materials...

  18. Physics and Simulation of Nanoscale Electronic and Thermoelectric Devices

    28 Jun 2013 | | Contributor(s):: raseong kim

    For the past few decades, transistors have been continuously scaled. Dimensions are now at the nanoscale, and device performance has dramatically improved. Nanotechnology is also achieving breakthroughs in thermoelectrics, which have suffered from low efficiencies for decades. As the device scale...

  19. Physics and Simulation of Quasi-Ballistic Transport in Nanoscale Transistors

    28 Jun 2013 | | Contributor(s):: Jung-Hoon Rhew

    The formidable progress in microelectronics in the last decade has pushed thechannel length of MOSFETs into decanano scale and the speed of BJTs into hundreds of gigahertz. This progress imposes new challenges on device simulation as the essential physics of carrier transport departs that of...

  20. Jul 23 2012

    Illinois 2012: Summer School on Computational Materials Science Quantum Monte Carlo: Theory and Fundamentals

    2012 Icon This school brings together scientists from the fields of geophysics, physics, materials science, chemistry and high-performance computing to learn fundamentals of Quantum Monte Carlo...

    https://nanohub.org/events/details/336