SciML Webinar Series
The SciML webinar series and panel events are organized by Keith Phuthi and Venkat Viswanathan as part of MICDE with the goal of cross-pollinating ideas between the various emerging methods at the intersection of physics and machine learning.
Webinar Format: Presenters can use the opportunity to showcase a paper or two with an explicit focus on the methodology and approach. Duration: 40 minutes of methodology + 20 minutes of implementation (code) walk-through + 20 minutes of questions. Invited session chairs will guide the discussion along with offering their perspective on the field. The Q&A session is typically very interactive with an engaged audience.
Seminar Time: Thursdays 11:00 am to 12:30 pm Eastern Time
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Latest Past Events
SciML Webinar: Lenz Fiedler – Efficient calculations of electronic structures with machine-learning models
Efficient calculations of electronic structures with machine-learning models
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 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
Previous Seminars
To see past seminars that were held as part of CMU’s ACED-Differentiate program, visit www.cmu.edu/aced/sciML.html