MICDE Ph.D. Student Seminars: Jamie Holber
2022 South Thayer BuildingActive Learning for Physics Informed Data Sampling and Construction of Free Energy Representations
Active Learning for Physics Informed Data Sampling and Construction of Free Energy Representations
Women in Computational ScienceThe Women in Computational Science Symposium is the inaugural event for MICDE's DISCOVER (Diversity and Innovation in Scientific Computing: Opportunities for Valuing Exploration and Representation) mini-symposium series. This mini-symposium provides a unique opportunity to delve into the pioneering research conducted by women in computational science while also gaining insight into their personal […]
When Is Big Data Biased?
Computational Methods in Chemistry
Musings of a Computational Philosopher
Cosmological Hydrodynamical Simulations and Machine Learning at the Intersection of Galaxy Formation and Cosmology
Join us for the Scientific Computing Club Informational Session and embark on a journey at the intersection of science and technology. What to Expect: Discover the world of scientific computing and its real-world applications. Connect with like-minded individuals who share your passion for cutting-edge technology. Learn about upcoming events, workshops, and collaborative projects. Who Should […]
Join us for the Scientific Computing Club Informational Session and embark on a journey at the intersection of science and technology. What to Expect: Discover the world of scientific computing and its real-world applications. Connect with like-minded individuals who share your passion for cutting-edge technology. Learn about upcoming events, workshops, and collaborative projects. Who Should […]
Join us for the Scientific Computing Club Informational Session and embark on a journey at the intersection of science and technology. What to Expect: Discover the world of scientific computing and its real-world applications. Connect with like-minded individuals who share your passion for cutting-edge technology. Learn about upcoming events, workshops, and collaborative projects. Who Should […]
UQ for ML and ML for UQ: Why Uncertainty Quantification and Machine Learning Go Hand-in-Hand