Quantum-corrected thickness-dependent thermal conductivity in amorphous silicon predicted by machine learning molecular dynamics simulations

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  NEXTCELL: Next generation interatomic potentials to simulate new cellulose based materials

  Caro Bayo, M. (Principal investigator)

  01/09/2020 → 31/08/2025

  Project: Academy of Finland: Other research funding

  • Carbon 100%
  • Density 99%
  • Density Functional Theory 84%
  • Machine Learning 78%
  • Amorphous Carbon 69%
• Finished

  COMPEX: Towards accurate computational experimentation: machine-learning-driven simulation of nanocarbon synthesis

  Caro Bayo, M. (Principal investigator), Hernandez Leon, P. (Project Member), Jana, R. (Project Member), Muhli, H. (Project Member), Kondati Natarajan, S. (Project Member), Zarrouk, T. (Project Member) & Wang, Y. (Project Member)

  01/09/2019 → 31/08/2023

  Project: Academy of Finland: Other research funding

  • Machine Learning 100%
  • Density 82%
  • Carbon 58%
  • Approximation 58%
  • X-Ray Photoelectron Spectroscopy 58%

• Finnish Centre of Excellence in Quantum Technology

  Ala-Nissilä, T. (Principal investigator) & Alipour, S. (Project Member)

  01/01/2018 → 31/12/2020

  Project: Academy of Finland: Other research funding

  • Molecular Dynamics 100%
  • Thermal Conductivity 100%
  • Thickness 100%
  • Machine Learning 100%
  • Particle Size 50%