Internationally recognized computational researcher Spyridon Bakas, PhD, to serve as inaugural director of Division of Computational Pathology

Indiana University School of Medicine Department of Pathology is launching a new Division of Computational Pathology and a Research Center for Federated Learning in Precision Medicine.

Tiny Underwater Sand Dunes May Shed Light on Larger Terrestrial and Martian Formations

In Physics of Fluids, researchers have been studying the dynamics of how crescent-shaped sand dunes are formed. Known as barchans, these formations are commonly found in various sizes and circumstances, on Earth and on Mars. Using a computational fluid dynamics approach, the team carried out simulations by applying the equations of motion to each grain in a pile being deformed by a fluid flow, showing the ranges of values for the proper computation of barchan dunes down to the grain scale.

Exploring, Monitoring and Modeling the Deep Ocean

The NSF is funding a team led by the Oden Institute for Computational Engineering and Sciences at UT Austin to implement a Deep-Ocean Observing Strategy (iDOOS), bringing together U.S. and international networks engaged in deep-ocean observing, mapping, exploration, modeling, research and sustainable management.

New Approach Methodologies, Single Cell RNAseq, and More Featured in 2021 Toxicological Sciences

Toxicological Sciences delivers cutting-edge research in toxicology in the areas of clinical and translational toxicology, emerging technologies, and more in the August 2021 issue.

Computational Biologist Thomas Norman of Sloan Kettering Institute Honored with Distinguished NIH Director’s New Innovator Award

Computational biologist Thomas Norman, PhD, of Memorial Sloan Kettering’s (MSK) Sloan Kettering Institute (SKI) has been named one of 53 recipients of the prestigious 2020 National Institutes of Health (NIH) Director’s New Innovator Award. As part of the award, Dr. Norman will receive $1.5 million in direct costs upfront in the first year of a five-year award.

Symmetries in Physical Systems Help Optimize Quantum Computing

At the AVS 66th International Symposium and Exhibition, Oct. 20-25, Daniel Gunlycke will present a study on using symmetry to reduce the effects of random quantum entanglement in quantum computing applications. When deliberate, quantum entanglement can make algorithms more powerful and efficient, but uncontrolled entanglement adds unnecessary additional complexity to quantum computing, making algorithms suboptimal and more prone to error. Gunlycke says by reducing the frequency of accidental entanglements, quantum computing can be improved.