2025 Spring Meeting and 21st Global Congress on Process Safety April 6-10, 2025 Hilton Anatole, Dallas, TX
2025 AIChE Annual Meeting November 2-6, 2025 John B. Hynes Veterans Memorial Convention Center, Marriott Copley Place, Sheraton Back Bay | Boston, MA
Archived Webinar Want to be an Entrepreneur? Personal Stories From Three Successful Entrepreneurs Who Have Traveled This Path.
Logan Blakely Citation name Blakely, L. Affiliation Sandia National Labs State NM Country USA Authored(109e) Physics Informed Machine-Learning for Static Security Analysis of Optimal Power Flow SolutionsZachary KilweinFani BoukouvalaAnya CastilloMichael EydenbergLogan BlakelyCarl Laird2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(104b) Physics-Informed Machine Learning Surrogates with Optimization-Based Guarantees: Applications to AC Power FlowJordan JalvingMichael EydenbergLogan BlakelyZachary KilweinFani BoukouvalaCarl Laird2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(476b) Deep Neural Network As Surrogates for Intractable Constraints and Problem Dimension Reduction: Security Constrained AC Optimal Power FlowCarl LairdJordan JalvingMichael EydenbergLogan BlakelyZachary KilweinFani Boukouvala2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(362h) Physics Informed Machine Learning for Feasibility AnalysisZachary KilweinMichael EydenbergLogan BlakelyFani Boukouvala2022 Annual Meeting (ISBN: 978-0-8169-1118-9) Associated proceedings 2020 Virtual AIChE Annual Meeting 2021 Annual Meeting 2022 Annual Meeting
