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) These programs are open to all U-M graduate students with an interest in scientific computing or data science. These methodologies can have a wide range […]
Large Eddy Simulation of Turbulent Cavitating Flows
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) These programs are open to all U-M graduate students with an interest in scientific computing or data science. These methodologies can have a wide range […]
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 event showcases the work of the University of Michigan faculty members at the intersection of AI, HPC, and advanced algorithms. It also includes a panel […]
PhD in Scientific Computing director Eric Johnsen will speak about opportunities for undergraduate or master's students seeking a graduate education in Computation and Artificial Intelligence for Science and Engineering at the University of Michigan. Food will be provided. Please register to attend.
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)