• 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.


  • Data visualization is widely used in science, but interpreting such visualizations is prone to error. Here a dynamic visualization is introduced for capturing more information and improving the reliability of visual interpretations.

    • Eric D. Sun
    • Rong Ma
    • James Zou
  • A computational workflow centered on probabilistic machine learning is developed to reconstruct the energy dispersion from photoemission band-mapping data. The workflow uncovers previously inaccessible momentum-space structural information at scale.

    • R. Patrick Xian
    • Vincent Stimper
    • Ralph Ernstorfer
    Resource Open Access
  • Design choices for dimensionality reduction on calcium imaging recordings are systematically evaluated, and a method called calcium imaging linear dynamical system (CILDS) is proposed for performing deconvolution and dimensionality reduction jointly.

    • Tze Hui Koh
    • William E. Bishop
    • Byron M. Yu