A computer monitor displaying the Nobel Prize medal, in sketch mode.

A computational account of Nobel Prize history

Read our Focus issue that highlights various contributions of the computational science community to previous Nobel prizes in chemistry and physics.


  • The multiple disciplines (including biological sciences, physical sciences, and environmental sciences) that are covered by Nature Computational Science.

    Check out our one-year anniversary collection, in which we highlight some of the research articles, published during our first year, that reported stimulating ideas, methods and results in many different science areas, including biological sciences, physical sciences, and environmental sciences.

Nature Computational Science is a Transformative Journal; authors can publish using the traditional publishing route OR via immediate gold Open Access.

Our Open Access option complies with funder and institutional requirements.


  • A framework for measuring how noise in different outbreak data limits the reliability of estimates of epidemic spread is developed and used to show that death time series are rarely better than case data for inferring COVID-19 transmissibility.

    • Kris V. Parag
    • Christl A. Donnelly
    • Alexander E. Zarebski
  • A computational method is introduced for mutational intratumor heterogeneity inference from noisy genotype matrices derived from single-cell sequencing data. The proposed method is shown to be accurate and faster than available alternatives.

    • Can Kızılkale
    • Farid Rashidi Mehrabadi
    • Salem Malikić
    Brief Communication
  • This study suggests that a lack of co-location hinders the formation of ‘weak ties’—which are crucial for information spread—in communication networks on the basis of an analysis of an email network of more than 2,800 university researchers.

    • Daniel Carmody
    • Martina Mazzarello
    • Carlo Ratti
  • Dr Martin Head-Gordon, Distinguished Professor of Chemistry at the University of California, Berkeley, talks with Nature Computational Science about his research on electronic structure theory, quantum chemistry software development, applications in renewable energy, as well as his time working with John Pople, who was recognized by the 1998 Nobel Prize in Chemistry.

    • Kaitlin McCardle
  • Dr Saul Perlmutter, a professor of physics at the University of California, Berkeley, a senior scientist at Lawrence Berkeley National Laboratory (LBNL), and a 2011 Nobel laureate in physics, discusses the discovery of the accelerating expansion of the Universe and the essential role of computing in this field of research.

    • Fernando Chirigati
  • Dr Lu Sham, Distinguished Professor Emeritus of Physics at the University of California, San Diego, talks with Nature Computational Science about his current research, the density functional theory (DFT) work that was recognized by the 1998 Nobel Prize in Chemistry — awarded to his co-author Dr Walter Kohn — and where he thinks the field is heading.

    • Kaitlin McCardle
  • Dr Arieh Warshel, distinguished professor of chemistry at the University of Southern California and 2013 Nobel laureate in chemistry, discusses with Nature Computational Science past and current research, his Nobel Prize, and the benefits and challenges of using computational modeling in his work.

    • Kaitlin McCardle
  • Dr John Wettlaufer, A. M. Bateman Professor of Geophysics, Mathematics, and Physics at Yale University, research professor at the Nordic Institute for Theoretical Physics, and a member of the Nobel Committee for Physics, discusses the contributions from the laureates of the 2021 Nobel Prize in Physics, his insights into complex system modeling, and his personal experience serving as a Nobel Committee member.

    • Jie Pan