Media and Paper Appearances

The case for data science in experimental chemistry: examples and recommendations - Nature Reviews ChemistryModern data science can help to address challenges in experimental chemistry. This Expert Recommendation describes examples of how data science is changing the way we conduct experiments and outlines opportunities for further integration of data science and experimental chemistry to advance these fields.

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Gaussian processes for autonomous data acquisition at large-scale synchrotron and neutron facilities - Nature Reviews PhysicsGaussian process regression (GPR) is a powerful, non-parametric and robust technique for uncertainty quantification and function approximation that can be applied to optimal and autonomous data acquisition. This Review introduces the basics of GPR and discusses several use cases from different fields.

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Berkeley Lab's CAMERA Leads International Effort on Autonomous Scientific DiscoveriesThe team’s autonomous method has been deployed at several x-ray and neutron scattering facilities.

Automatically Steering Experiments Toward Scientific DiscoveryScientists have been developing an automated experimental setup of data collection, analysis, and decision making.

This article is about the very first time gpCAM was used for x-ray imaging.

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