Statistics of velocity gradient and vortex sheet structures in polymeric turbulent von K{á}rm{á}n swirling flow

Posted by dbos Berkeley, This Week: Nanoscience

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Yi-Bao Zhang, Ping-Fan Yang, Heng-Dong Xi, | Summary: Investigations into the effects of polymers on small-scale statistics and flow patterns were conducted in a turbulent von Karman swirling (VKS) flow. We employed the tomographic particle image velocimetry (Tomo-PIV) technique to obtain full information on three-dimensional […]


Continue.. Statistics of velocity gradient and vortex sheet structures in polymeric turbulent von K{á}rm{á}n swirling flow

Cross-functional transferability in universal machine learning interatomic potentials

Posted by dbos Berkeley, This Week: Nanoscience

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Xu Huang, Bowen Deng, Peichen Zhong, Aaron D. Kaplan, Kristin A. Persson | Summary: The rapid development of universal machine learning interatomic potentials (uMLIPs) has demonstrated the possibility for generalizable learning of the universal potential energy surface. In principle, the accuracy of uMLIPs can be further […]


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QARPET: A Crossbar Chip for Benchmarking Semiconductor Spin Qubits

Posted by dbos Delft, This Week: Nanoscience

Kavli Affiliate: Giordano Scappucci | First 5 Authors: Alberto Tosato, Asser Elsayed, Federico Poggiali, Lucas Stehouwer, Davide Costa | Summary: Large-scale integration of semiconductor spin qubits into industrial quantum processors hinges on the ability to characterize the performance of quantum components at scale. While the semiconductor industry has addressed scalable testing for transistors using device […]


Continue.. QARPET: A Crossbar Chip for Benchmarking Semiconductor Spin Qubits