The field of computational chemistry has seen a significant increase in the integration of
machine learning concepts and algorithms. In this Perspective, we surveyed 179 open …

Abstract CASA, the Common Astronomy Software Applications, is the primary data
processing software for the Atacama Large Millimeter/submillimeter Array (ALMA) and the …

As the UK battery modelling community grows, there is a clear need for software that uses
modern software engineering techniques to facilitate cross-institutional collaboration and …

Literate computing has emerged as an important tool for computational studies and open
science, with growing folklore of best practices. In this work, we report two case studies …

Topic modeling using models such as Latent Dirichlet Allocation (LDA) is a text mining
technique to extract human-readable semantic “topics”(ie, word clusters) from a corpus of …

Rapid phenotypic adaptation is often observed in natural populations and selection
experiments. However, detecting the genome-wide impact of this selection is difficult since …

Background There is a shortage of medical informatics and data science platforms using
cloud computing on electronic medical record (EMR) data, and with computing capacity for …

Parametric stochastic simulators are ubiquitous in science, often featuring high-dimensional
input parameters and/or an intractable likelihood. Performing Bayesian parameter inference …

EOS is an open-source software for a variety of computational tasks in flavor physics. Its use
cases include theory predictions within and beyond the Standard Model of particle physics …

Acoustic signals serve communication within and across species throughout the animal
kingdom. Studying the genetics, evolution, and neurobiology of acoustic communication …