2025 Spring Meeting and 21st Global Congress on Process Safety April 6-10, 2025 Hilton Anatole, Dallas, TX
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William Green Citation name Green, W. Affiliation Massachusetts Institute of Technology State MA Country USA Authored(364c) Transfer Learning for Prediction of Absorption and Emission Spectra from Multi-Fidelity DataWilliam GreenKevin P. GreenmanRafael Gomez-Bombarelli2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(342i) Machine Learning of Retrosynthetic Disconnections and Reaction Outcomes: Influence of Reaction Template CharacteristicsAndrea AudeEsther HeidWilliam Green2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(442b) Multiscale Modeling and Characterization of Radical-Initiated Modification of Molten PolyolefinsWeizhong ZouAmber TupperNathan RebelloDuminda RanasingheWilliam GreenBradley OlsenChristopher Couch2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(731a) Generating Detailed Pyrolysis Models for Large SystemsWilliam GreenAllen Payne2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(364b) Message Passing Neural Networks for Prediction of IR SpectraCharles J. McGillMichael ForsueloYanfei GuanWilliam Green2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(561g) Investigating Effectiveness of Diethylhydroxylamine (DEHA) As Inhibitor for Oxygen-Involved Polymer Fouling Using Automatically Generated Multi-Phase Kinetics ModelHao-Wei PangWilliam GreenMichael ForsueloXiaorui DongRyan Hawtof2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(454d) Kinetics Insights of Waste Plastic Pyrolysis with Auto-Fragment Modeling (AFM)Yen-Ting WangWilliam GreenMatthew Prendergast2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(297b) Predicting Solubility Limits of Organic Solutes for a Wide Range of Solvents and Temperatures Using Machine Learning and ThermodynamicsYunsie ChungWilliam GreenFlorence Vermeire2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(88d) Design of an Automatic Platform for Machine-Learning Model Based Molecular Property OptimizationMatthew McDonaldBrent KoscherRichard CantySeung Kyun HaKevin P. GreenmanCharles J. McGillRafael Gomez-BombarelliWilliam GreenKlavs JensenCamille Bilodeau2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(621g) An End-to-End Workflow for Diverse Transition State Conformer Generation Using Machine LearningXiaorui DongLagnajit PattanaikHaoyang WuKevin SpiekermannHao-Wei PangWilliam Green2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(416c) Projecting the Effectiveness of Deep EnsemblesCharles McGillWilliam Green2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(687e) Chemprop: Machine Learning for Molecular Property PredictionCharles McGillEsther HeidYunsie ChungKevin GreenmanDavid GraffMengjie LiuCamille BilodeauRafael Gomez-BombarelliConnor ColeyKlavs JensenTommi S. JaakkolaRegina BarzilayWilliam Green2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(361e) Quantumpioneer: Self-Evolving Machine for High-Throughput Automated Potential Energy Surface Exploration and Closed-Loop Chemical Reactivity DiscoveryHao-Wei PangHaoyang WuXiaorui DongJackson W. BurnsKevin SpiekermannAngiras MenonJonathan ZhengSayandeep BiswasShih-Cheng LiWilliam Green2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(448c) Thermochemistry of Organic Ions in Different SolventsNathan MorganJonathan ZhengKatsuhiro WakamatsuIvari KaljurandSofja TshepelevitshIvo LeitoWilliam Green2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(702a) Recent Advances in Predictive KineticsWilliam GreenXiaorui DongHao-Wei PangYen-Ting WangKevin SpiekermannHaoyang WuYunsie ChungAngiras Menon2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(197at) Assessing the Impact of Quantum Mechanical Descriptors on D-Mpnn Performance for Chemical Property PredictionAngiras MenonShih-Cheng LiHaoyang WuKevin SpiekermannWilliam Green2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(197az) Dataset and Models for Predicting Critical Properties of FluidsSayandeep BiswasYunsie ChungHaoyang WuWilliam Green2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(343a) Decarbonization of Long-Haul Trucking: LOHC PowertrainsSayandeep BiswasKariana Moreno-SaderRob JonesWilliam Green2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2) Associated proceedings 2021 Annual Meeting 2022 Annual Meeting 2023 AIChE Annual Meeting
