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Publications
Proceedings
2017 Metabolic Engineering Summit
General Submissions
ME as an Enabling Technology for Driving Innovation
Impact of yeast lipid pathway engineering and bioprocess strategy on cellular physiology and lipid content
Eydenberg, M.
Authored
(362h) Physics Informed Machine Learning for Feasibility Analysis
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(104b) Physics-Informed Machine Learning Surrogates with Optimization-Based Guarantees: Applications to AC Power Flow
2021 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 Flow
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
(109e) Physics Informed Machine-Learning for Static Security Analysis of Optimal Power Flow Solutions
2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)
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