Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

This important study, which tackles the challenge of analyzing genome integrity and instability in unicellular pathogens by introducing a novel single-cell genomics approach, presents compelling ...

Jasmine Demers Nov 23, 2019 Nov 23, 2019 Updated May 15, 2020 For years, scientists have studied trees to learn about yearly rainfall, temperature and climate over time. Now, a University of Arizona ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Computational chemistry describes the use of computer modelling and simulation – including ab initio approaches based on quantum chemistry, and empirical approaches – to study the structures and ...