SciML Webinar Justin Beroz: A closed-form mathematical framework for modeling turbulent fluids
A closed-form mathematical framework for modeling turbulent fluids
Loading view.
Events
Scientific Computing
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
MICDE Ph.D. Student Seminars: Bernardo Pacini & Srinivasan Arunachalam
2022 South Thayer BuildingGradient-Based Multidisciplinary Design Optimization for Propeller Design | Validation of a multivariate non-Gaussian, non-stationary wind pressure simulation model for performance-based wind engineering
SciML Webinar: Lenz Fiedler – Efficient calculations of electronic structures with machine-learning models
Efficient calculations of electronic structures with machine-learning models
MICDE Ph.D. Student Seminars: Jamie Holber
2022 South Thayer BuildingActive Learning for Physics Informed Data Sampling and Construction of Free Energy Representations
MICDE Ph.D. Student Seminars 2023-2024: Guoer Liu
2022 South Thayer BuildingWhen Is Big Data Biased?
MICDE Ph.D. Student Seminars 2023-2024: Jeffrey Hatch
2022 South Thayer BuildingComputational Methods in Chemistry
MICDE Ph.D. Student Seminar: Lingfeng Luo
Duderstadt Center - 1180"Gradient Boosting-Based Discrete Failure Time Model for Selecting Time-Varying Effects and Interactions" - Lingfeng Luo - Biostatistics & Scientific Computing
Workshop / Seminar:MICDE Ph.D. Student Seminar: Hannah Van Wyk and Musawer Ahmad Saqif
Duderstadt Center - 1180Hannah Van Wyk will present her talk: Using a hidden markov model to pinpoint the date of the primary case in a dengue outbreak in rural Ecuador. An infectious disease outbreak investigation typically consists of retrospectively determining information regarding the outbreak such as the timing of the primary case (the first case of the outbreak, […]