A machine learning pipeline identifies low-frequency Raman signatures as reliable indicators of liquid-like ionic conduction ...
A team of researchers at the Technical University of Munich and ́Ecole Polytechnique Fédérale de Lausanne has developed an innovative computational approach combining machine learning and Raman ...
At-a-Glance: Machine learning streamlines pipeline inspections by automating signal interpretation, predicting defect growth, and prioritizing digs—cutting cycle time, false alarms, and OPEX while ...
A conversation with Professor Miraz Rahman, Head of the Department of Drug Discovery at King’s College London.
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