Patient-specific models of blood flow constructed from coronary CT angiography (cCTA) images and using computational fluid dynamics are transforming the diagnosis of heart disease by providing a safer, cheaper and more efficient procedure as compared to the standard of care that often involves nuclear imaging and invasive diagnostic cardiac catheterizations.
This talk will begin with a brief survey of physical mechanisms which can be used to create thermal switches, regulators, and diodes . The heart of the talk will then present three energy applications of these nonlinear thermal phenomena.
This lecture describes the United States' National Science Foundation and in particular its Small Business Innovation Research/Small Business Technology Transfer (SBIR/STTR) Program. It is important to note the history of this program and its many unique features.
With the availability of extensive data from simulations and laboratory and field experiments, data-driven dynamics is playing an important role in understanding the behavior of nonlinear systems. To illustrate this role, three different examples are considered.
Titan Company Limited, under Bhaskar's leadership,
enlarged its portfolio and extended its market to
Eyewear, Accessories, Fragrances and Sarees. The market
cap of Titan Company grew to 13 Billion USD in 2019 and
is now the second largest in the Tata Group.
The unceasing growth in computational power and the development of new software tools and numerical algorithms is opening up exciting areas of research, discovery & translation in mechanics and biomedical engineering.
Academic life at the university level, with its intrinsic freedom in most settings, is full of choices. These choices include high risk research, turning teaching on its head, taking extreme positions on ideology, becoming a perpetual cynic, making life run on an autopilot, or becoming a silent rebel by doing almost nothing.
Predictive digital twins and the data-driven future of computational science
Director of the Oden Institute for Computational
Engineering and Sciences, Associate Vice President for
Research, and Professor of Aerospace Engineering and
Engineering Mechanics, University of Texas, Austin
A digital twin is an evolving virtual model that mirrors an individual physical asset throughout its lifecycle. Key to the digital twin concept is the ability to sense, collect, analyze, and learn from the asset's data.
The ability to manufacture micro-scale sensors and actuators has inspired the robotics community for
over 30 years. There have been huge success stories; MEMS inertial sensors have enabled an entire market
of low-cost, small UAVs. However, the promise of ant-scale robots has largely failed.
Architected materials (or mechanical metamaterials)
derive their macroscopic properties from a carefully
engineered small-scale structural architecture - rather
than from composition and microstructure as in