Archive |

CBE Graduate Student Symposium (GSS)

PICS Colloquium: “Computational and Experimental Modeling of Membrane Distillation”

Abstract: Computational fluid dynamics simulations and experiments were conducted to study the performance of distillation membrane process for water treatment and desalination applications. Polarizations and fouling/scaling in a direct contact […]

PICS Colloquium: “Molecular organization in biology: What can computer simulations teach us?”

Abstract: The formation of membraneless organelles (MLOs) via phase separation of proteins and nucleic acids has emerged as an essential process with which cells can maintain spatiotemporal control. Despite enormous […]

PICS Colloquium: “A model for external aerodynamics based on building-block flows”

Abstract: A wall model for large-eddy simulation is proposed by devising the flow as a collection of building blocks, whose information enables the prediction of the stress as the wall.  […]

PICS Colloquium: “How reproducible is your research?”

Abstract: Each year vast international resources are wasted on irreproducible research. The scientific community has been slow to adopt standard software engineering practices, despite the increases in high-dimensional data, complexities of […]

PICS Student Seminar: “Keshav Patil and Yansong Gao”

Yansong Gao Title: “A Free-Energy Principle for Representation Learning” Keshav Patil Title: “Altered protein dynamics delineates the oncogenic potential of various kinase mutations” On Wednesday, October 6 at 12:00, PICS […]

PICS Colloquium: “Protein dynamics and energy landscape engineering”

Abstract: Experiments only reveal a few of a protein’s structures with the atomic detail required to rationally engineer mutations and drugs. However, a protein actually has a vast landscape of […]

MEAM Seminar: “Deep Learning and Uncertainty Quantification: Methodologies and Applications”

Uncertainty is ubiquitous in physical and engineering science because of the lack of knowledge, inaccuracy in measurements, objective stochastic nature. “You cannot be certain about uncertainty”. Uncertainty quantification plays an […]

PICS Colloquium: “From atoms to emergent mechanisms with information bottleneck and diffusion probabilistic models”

Abstract: The ability to rapidly learn from high-dimensional data to make reliable predictions about the future is crucial in many contexts. This could be a fly avoiding predators, or the […]

PICS Colloquium: “Kinetic theory for superparameterization of sea ice dynamics”

Arctic sea ice comprises of many ice floes whose dynamics is driven by oceanic/atmospheric currents and floe-floe interaction. Models of the effective sea ice dynamics  at large scales typically employ hydrodynamic equations of […]

Pages 1 3 4 5 6 7 14
Archive |