MICDE Webinar Series: Gabriel Ehrlich, Director, Research Seminar in Quantitative Economics, University of Michigan
Modeling the Economic Outlook in the Time of COVID-19
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Events
Neuroimaging Initiative webinar: Bayesian scalar-on-image neural networks with application to neuroimaging data
Zoom EventAbout Dr. Kang: Jian Kang is a Professor in the Department of Biostatistics and is a faculty member of the Kidney Epidemiology and Cost Center (KECC) at the University of […]
Computing our way out of a pandemic: modeling in the face of COVID-19
Zoom Event MI, United StatesThis virtual symposium will bring together researchers from the State of Michigan to share their past and future insights into the pandemic.
Marc Henry de Frahan Webinar
Zoom Event MI, United StatesLeveraging modeling hierarchies in the Exascale era: applications to combustion technologies
SciML Webinar Justin Beroz: A closed-form mathematical framework for modeling turbulent fluids
A closed-form mathematical framework for modeling turbulent fluids
SciML Webinar Ji Qi: DImensionality-Reduced Encoded Clusters with sTratified (DIRECT) sampling for Robust Training of Machine Learning Interatomic Potentials
Robust Training of Machine Learning Interatomic Potentials with Dimensionality Reduction and Stratified Sampling
SciML Webinar: Bowen Deng – CHGNet: pretrained universal interatomic potential to study electron coupled ionic systems.
CHGNet: pretrained universal interatomic potential to study electron coupled ionic systems
SciML Webinar: Lenz Fiedler – Efficient calculations of electronic structures with machine-learning models
Efficient calculations of electronic structures with machine-learning models