SciML Webinar: Lenz Fiedler – Efficient calculations of electronic structures with machine-learning models
Efficient calculations of electronic structures with machine-learning models
Efficient calculations of electronic structures with machine-learning models
Active Learning for Physics Informed Data Sampling and Construction of Free Energy Representations
When Is Big Data Biased?
Computational Methods in Chemistry
"Gradient Boosting-Based Discrete Failure Time Model for Selecting Time-Varying Effects and Interactions" - Lingfeng Luo - Biostatistics & Scientific Computing
Hannah 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, […]
This event is the first of its kind, dedicated to scientific foundation models (SciFM), that are set to revolutionize science in the same way Generative AI has transformed natural language. This two-day conference will bring together some of the most renowned experts from the field of scientific foundation models who will share their insights and […]
This event is the first of its kind, dedicated to scientific foundation models (SciFM), that are set to revolutionize science in the same way Generative AI has transformed natural language. This two-day conference will bring together some of the most renowned experts from the field of scientific foundation models who will share their insights and […]
The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. These events are open to the public but we ask that all attendees register so that we can prepare properly. If you have any questions, please email [email protected]. Register to attend this seminar Jeffrey Hatch: An introduction […]
The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. These events are open to the public but we ask that all attendees register so that we can prepare properly. If you have any questions, please email [email protected]. Register to attend this seminar Anna Halstenbach: "Uncovering the […]