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
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 […]
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 […]
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 […]
Computational Science and High-Performance Computing at Lawrence Livermore National Laboratory
"Bridging Wavefunctions and Density Functionals: Unlocking Accurate Data for Functional Development" - Vaibhav Khanna (Chemistry and Scientific Computing)
"Turbulence transport and size segregation of shock-driven multiphase flows" - Archana Sridhar (Aerospace Engineering and Scientific Computing)
"BME and Scientific Computing" - Ashley Tan (Biomedical Engineering and Scientific Computing)
"Emergence of three-dimensional structures from vortex pair instabilities in shocked interfacial flows" - William White (Mechanical Engineering and Scientific Computing)