SynthEsizing Novel H2 Sensors for Operational Resilience in Pipeline Infrastructure (SENSOR)

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Authors: USDOE Office of Fossil Energy and Carbon Management (FECM), Bert Jong, Maruthi N. Devarakonda
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Abstract

A flexible and extensible computational framework acts as a black-box materials discovery engine, capable of screening, predicting, and designing advanced materials with minimal manual intervention was developed. While developed for hydrogen sensing, the approach can be readily adapted to other materials challenges, offering a powerful tool for data-driven materials innovation.

Fields of Study & Subjects

Machine Learning in Materials Science Gas Sensing Nanomaterials and Sensors Hydrogen Storage and Materials

Publication details

Publication date
13 January 2026