Nature Computational Science

Nature Computational Science focuses on the development and use of computational techniques and mathematical models, as well as their application to address complex problems across a range of scientific disciplines. The main goal of the journal is to foster multidisciplinary research and the cross-disciplinary application of new computational techniques.

Nature Publishing Group
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Computer Sciences

A flexible Bayesian framework for unbiased estimation of timescales

An international team of researchers from Tübingen and Cold Spring Harbor (New York) has found a pioneering way of determining at what pace changes typically happen. The new method avoids previous systematic errors in estimating ...

Computer Sciences

A math model to predict COVID-19 vaccine efficacy

COVID-19 vaccines have been a game-changer in the current pandemic. Several vaccine candidates have conferred a high degree of protection, with some reducing the number of symptomatic infections by over 95% in clinical trials. ...

Computer Sciences

Using machine learning to understand how brain cells work

For something so small, neurons can be quite complex—not only because there are billions of them in a brain, but because their function can be influenced by many factors, like their shape and genetic makeup.


Creating 'digital twins' at scale to improve drone deliveries

Picture this: A delivery drone suffers some minor wing damage on its flight. Should it land immediately, carry on as usual, or reroute to a new destination? A digital twin, a computer model of the drone that has been flying ...

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