document.write("
04\/21\/2021 - Data-Driven Materials:\u00a0Scientific intuition inspired by machine learning-generated hypotheses<\/a><\/div>
03\/11\/2021 - Data-Driven Materials:\u00a0Leveraging Legacy Data to Accelerate Materials Design\u00a0via Preference Learning<\/a><\/div>
02\/11\/2021 - Data-Driven Materials:\u00a0Bayesian reaction optimization as a tool for chemical synthesis<\/a><\/div>
12\/23\/2020 - Data-Driven Materials: Physics-informed machine learning for composition\u2013process\u2013property design<\/a><\/div>
12\/08\/2020 - Data-Driven Materials: On-the-fly closed-loop materials discovery via Bayesian active learning<\/a><\/div>
11\/11\/2020 - Data-Driven Materials: Explainable and trustworthy artificial intelligence in chemical sciences<\/a><\/div>
06\/02\/2020 - Data-Driven Materials: Inverse design of crystal structure<\/a><\/div>
05\/28\/2020 - Data-Driven Materials: WEBINAR - Future of Work in the Materials Industry<\/a><\/div>
05\/19\/2020 - Data-Driven Materials: Hands-on Data Science and Machine Learning Training<\/a><\/div>
05\/12\/2020 - Data-Driven Materials: Reduce Costs, Increase Resilience \u2013 Applications in Formulations Webinar<\/a><\/div>
05\/07\/2020 - Data-Driven Materials: Annotating Materials Synthesis Procedures<\/a><\/div>
04\/29\/2020 - Data-Driven Materials: WEBINAR - Return on Investment of Materials Informatics<\/a><\/div>
04\/22\/2020 - Data-Driven Materials:\u00a0Process-structure-property relationships in microstructures<\/a><\/div>