Media and Paper Appearances

A substitutional quantum defect in WS2 discovered by high-throughput computational screening and fabricated by site-selective STM manipulation - Nature CommunicationsPoint defects in 2D semiconductors have potential for quantum computing applications, but their controlled design and synthesis remains challenging. Here, the authors identify and fabricate a promising quantum defect in 2D WS2 via high-throughput computational screening and scanning tunnelling microscopy.

New Math Methods and Perlmutter HPC Combine to Deliver Record-Breaking ML AlgorithmUsing the Perlmutter supercomputer at NERSC, researchers at Berkeley Lab have devised a new mathematical method for analyzing extremely large datasets—and, in the process, demonstrated proof of principle on a record-breaking dataset of more than five million points.

Autonomous discovery of emergent morphologies in directed self-assembly of block copolymer blendsCombinatorial sampling, synchrotron X-ray scattering, and autonomous steering enable rapid discovery of self-assembled phases.

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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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Berkeley Lab’s CAMERA Leads International Effort on Autonomous Scientific DiscoveriesTo make full use of modern instruments and facilities, researchers need new ways to decrease the amount of data required for scientific discovery and address data acquisition rates humans can no longer keep pace with.

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

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.

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