COMPUTATIONAL NANOSCALE HYDRODYNAMICS
FUTURE OF SIMULATION-BASED PRODUCT INNOVATION IN THE DIGITAL WORLD
On a Boundary Integral Equation Approach Modeling the Interaction of Light with Nanostructured Metallic Objects
Bio: Ramanathan Vishnampet is a Computational Data Scientist at the Global Business Lines Analytics & Optimization group at ExxonMobil Upstream Integrated Solutions. He graduated with a Ph.D. in Theoretical and Applied Mechanics from the University of Illinois at Urbana-Champaign, where his dissertation focused on an exact and consistent adjoint method for high-fidelity discretization of the compressible […]
Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided The Ph.D. in Scientific Computing is open to all Ph.D. students who will make extensive use of large-scale computation, computational methods, or algorithms for advanced computer architectures in their studies. It is a joint degree program, with students earning a Ph.D. […]
Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided The Ph.D. in Scientific Computing is open to all Ph.D. students who will make extensive use of large-scale computation, computational methods, or algorithms for advanced computer architectures in their studies. It is a joint degree program, with students earning a Ph.D. […]
Towards Fast, Scalable and High Fidelity Reactive Molecular Dynamics Simulations
Recurrent interactions can explain the variance in single trial responses
Using (Super)Computers Judiciously for Higher Fidelity Electromagnetic Analysis
Numerical Simulations of Turbulence in Heated Fluids