This workshop explored opportunities to use data science to transform chemical sciences and engineering. Stakeholders from academia, government, and industry convened to discuss the challenges and ...
Machine learning (ML) has emerged as a transformative tool in polymer science, enabling researchers to predict material properties and guide polymer design with unprecedented speed and precision.
In April 1994 the American Chemical Society (ACS) held an Interactive Presidential Colloquium entitled “Shaping the Future: The Chemical Research Environment in the Next Century.” 1 The report from ...
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