4th Engineering Cosmetics and Consumer Products Conference April 18-20, 2023 Crowne Plaza Princeton Conference Center, Plainsboro, NJ
AIChE/ACS Frontiers of Chemistry, Materials Science & Chemical Engineering for Circular Economy March 26-30, 2023 2023 ACS Spring Hybrid National Meeting, Indianapolis, IN, USA
2023 North Central Student Regional Conference March 31 - April 2, 2023 University of Illinois at Chicago, IL
2023 Southwest Student Regional Conference March 31 - April 1, 2023 Texas A&M University, College Station, TX
2023 Eckhardt Northeast Student Regional Conference March 31 - April 1, 2023 McGill University, Montreal, Quebec, Canada
15th AIChE Midwest Regional Conference April 11-12, 2023 University of Illinois Chicago, Illinois, USA
2023 Pacific Northwest Student Regional Conference April 14-15, 2023 Oregon State University, Corvallis, OR
2023 Mid-America Student Regional Conference April 14-15, 2023 University of Missouri-Columbia, Columbia, MO
Xiaohan Yu Citation name: Yu, X. Affiliation: The Dow Chemical Company State: GA Country: USA Authored:(121a) Machine Learning Approaches to Predict Density and Resiliency of Polyurethane Flexible FoamsSukrit MukhopadhyayDaniel ChristiansenHuikuan ChaoJerome ClaracqFabio Aguirre-VargasPaul CooksonBo ShuangAlix SchmidtKaylyn TorkelsonRahul VenkateshXiaohan Yu2022 Spring Meeting and 18th Global Congress on Process Safety Proceedings (572j) Efficiently Exploring the Adsorption Space of Molecules in MOFs Combining the Use of Molecular Simulations, Machine Learning, and IASTDavid ShollXiaohan YuSihoon ChoiAndrew Medford2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(572f) An Efficient Featurization Scheme for Machine-Learning Predictions of Diverse Molecules in Metal-Organic FrameworksSihoon ChoiAndrew MedfordDavid ShollXiaohan Yu2022 Annual Meeting (ISBN: 978-0-8169-1118-9) Associated proceedings: 2022 Spring Meeting and 18th Global Congress on Process Safety Proceedings 2022 Annual Meeting