• de
  • fr
  • it
  • en
  • Laureates
    • Laureate 2024
    • Prize 2024
    • Past laureates
    • Subsequent Nobel Prize laureates
  • Nomination
    • Nomination 2025
  • The award ceremony
    • The award ceremony 2024
    • The award ceremony 2023
    • The award ceremony 2022
    • The award ceremony 2021
    • The award ceremony 2020
    • The award ceremony 2019
    • The award ceremony 2018
    • The award ceremonies of the past
  • Activities
    • Lecture 2025
    • Workshop 2024
    • Lecture 2024
  • Marcel Benoist
    • The founder
    • The legacy
  • Foundation
    • Foundation
    • News
    • Board of Trustees
    • Patronage Committee and Friends
    • Create excellence!
    • Foundation assets
    • Contact
  • Laureates
    • Laureate 2024
    • Prize 2024
    • Past laureates
    • Subsequent Nobel Prize laureates
  • Nomination
    • Nomination 2025
  • The award ceremony
    • The award ceremony 2024
    • The award ceremony 2023
    • The award ceremony 2022
    • The award ceremony 2021
    • The award ceremony 2020
    • The award ceremony 2019
    • The award ceremony 2018
    • The award ceremonies of the past
  • Activities
    • Lecture 2025
    • Workshop 2024
    • Lecture 2024
  • Marcel Benoist
    • The founder
    • The legacy
  • Foundation
    • Foundation
    • News
    • Board of Trustees
    • Patronage Committee and Friends
    • Create excellence!
    • Foundation assets
    • Contact

Michele Parrinello

Laureate 2011: Michele Parrinello

When computers can simulate chemical processes

In 1985 physicist Michele Parrinello, along with his colleague Roberto Car, developed a method to simulate chemical reactions on a computer. Remarkably, this combined two seemingly incompatible areas of physics, namely density functional theory (DFT), used to describe electron behaviour, and molecular dynamics. Because it is not possible to determine the exact position and velocity of electrons, but this has to be known in order to simulate their movement, the two scientists developed a fictitious model with a sound mathematical basis. This method is so effective that the computer can even predict reactions in proteins. This not only means that new medical preparations and proteins can be designed, but that new types of catalysts for a range of chemical processes can be developed on a computer.

Contact

Marcel Benoist Foundation
State Secretariat for Education,
Research and Innovation SERI
Einsteinstrasse 2
CH – 3003 Bern

  • Legal notice