MICDE Ph.D. Student Seminars 2023-2024: Jeffrey Hatch
2022 South Thayer BuildingComputational Methods in Chemistry
Computational Methods in Chemistry
The educational programs represented are: PhD in Scientific Computing (MICDE) Graduate Certificate in Computational Discovery & Engineering (MICDE) Graduate Certificate in Computational Neuroscience (MICDE) Graduate Certificate in Data Science (MIDAS) […]
The educational programs represented are: PhD in Scientific Computing (MICDE) Graduate Certificate in Computational Discovery & Engineering (MICDE) Graduate Certificate in Computational Neuroscience (MICDE) Graduate Certificate in Data Science (MIDAS) […]
This year’s focus of the Advanced Computational Science & Engineering Showcase (ACES) mini-symposium is connecting advanced algorithms, artificial intelligence (AI), and high-performance computing (HPC) architectures to advance scientific discovery. The […]
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 […]
"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)