FSML Lecture Series – Anoushka Bhutani: Foundation Model for Molecular Design
2636 GGBA 2350 Hayward St, Ann Arbor, MI, United StatesFoundation Model for Molecular Design
Foundation Model for Molecular Design
Computational Science and High-Performance Computing at Lawrence Livermore National Laboratory
Learn about academic opportunities and fellowships for graduate students who combine Scientific Computing with Applied Physics, Astronomy, Biophysics, Chemistry, Earth and Environmental Sciences, Math, Physics, or any other physical science. […]
Learn about academic opportunities and fellowships for graduate students who combine Scientific Computing with Biology, Kinesiology, Medicine, Pharmacy, Public Health, or any other biological or health-related science. This session will […]
Volker Springel, Professor, Max Planck Institute for Astrophysics & Ludwig Maximilian University of Munich, Germany
"Simulated Universes: Origin and Fate of Our Milky Way"
2024 Nobel Prizes in Physics and Chemistry
"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)
"Embodying mechano-intelligence in mechanical metastructures for in-memory phononic learning" - Yuning Zhang (Mechanical Engineering and Scientific Computing)
"Global Probabilistic Geomagnetic Perturbation Forecasting" - Hongfan Chen (Mechanical Engineering and Scientific Computing)
"Py-Conformational-Sampling: Towards Predicting Stereoselectivity" - Soumik Das (Chemistry and Scientific Computing)
"Materials Science and Engineering and Scientific Computing" - Woohyeon Baek (Materials Science and Engineering and Scientific Computing)
"Data-Driven Development of Constitutive Equations for Thixotropic Waxy Oil Rheology for Flow Assurance Using Symbolic Regression and PINNs" - Samuel Ogunwale (Chemical Engineering and Scientific Computing)