Thesis Defense: Jesus Garcia Perez
2540 GGB 2350 Hayward St, Ann Arbor, MI, United StatesTitle: Forecasting Critical Transitions in Dynamical Systems Date: 04/05/2024 12:00 pm Location: 2540 GGB (G.G. BROWN LABORATORY)
Title: Forecasting Critical Transitions in Dynamical Systems Date: 04/05/2024 12:00 pm Location: 2540 GGB (G.G. BROWN LABORATORY)
Title: Mechanosensitive Biological Function: From Membrane Tension to Synthetic Exocytosis Date: 03/20/2024 9:00 am Location: G.G. BROWN LABORATORY 2540
Title: Design and Manufacturing of Spatially Distributed and Interconnected Porous Architectures for Smart Dental Implants Date: 01/18/2024 4:00 pm Location: 2540 GG BROWN
Title: Advances in Intuitive Priors and Scalable Algorithms for Bayesian Deep Neural Network Models in Scientific Applications Date: 01/17/2024 1:30 pm Location: 2540 GGB
Title: Learning-Based Economic Control for Repetitive Systems Date: 08/01/2023 10:00 am Location: 2540 GG BROWN LAB, OR ON ZOOM AT HTTPS://UMICH.ZOOM.US/J/97304638395 WITH PASSCODE: 780701
Title: A Three-Axis Miniaturized System using Optical MEMS Technology for Two-Photon Microscopy in Moving Mammals Date: 07/27/2023 1:00 pm Location: CONFERENCE ROOM 2540, G.G. BROWN BUILDING, 2350 HAYWARD ST, ANN ARBOR, MI 48109
Title: Modeling Human Epiblast Morphogenesis Date: 07/26/2023 9:00 am Location: 2540 GGB
Title: Mechano-Electrochemical Behaviors of In Situ-Formed Li-Metal Anodes in Solid-State Batteries Date: 07/17/2023 11:00 am Location: 2540 GGB
Title: Cognitive Modeling of Human Operator Behavior during Interaction with Autonomous Systems Date: 07/07/2023 1:30 pm Location: GG BROWN, ROOM 2540
Title: Investigating Complex Sociotechnical Problem Solving in Engineering: Assessments, Approaches, and Support Tools Date: 06/22/2023 1:00 pm Location: G.G. BROWN BUILDING RM 2540 AND ZOOM HTTPS://TINYURL.COM/DUGANDEFENSE
Title: Investigation of In-vivo Integument Mechanics for Device Design at the Biomechanical Interface Date: 04/07/2023 3:00 pm Location: 2540 GGB
Understanding and being able to predict the outcomes of complex reaction systems would be invaluable to varied scientific and engineering disciplines, ranging from enabling future energy, aerospace, and chemical processing technologies to understanding the Earth’s climate and the potential origins of life beyond Earth. Yet, unraveling and making predictions of complex reaction systems, which often proceed via ~100s of intermediate chemical species and ~1000s of intermediate reactions, are notoriously challenging tasks.