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

Autonomous Human-Robot Interaction via Operator Imitation

Posted by klaurent Cornell

Kavli Affiliate: David Muller | First 5 Authors: Sammy Christen, David Müller, Agon Serifi, Ruben Grandia, Georg Wiedebach | Summary: Teleoperated robotic characters can perform expressive interactions with humans, relying on the operators’ experience and social intuition. In this work, we propose to create autonomous interactive robots, by training a model to imitate operator data. […]


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Sub-second spin and lifetime-limited optical coherences in $^{171}$Yb$^{3+}$:CaWO$_4$

Posted by klaurent Caltech

Kavli Affiliate: Andrei Faraon | First 5 Authors: Alexey Tiranov, Emanuel Green, Sophie Hermans, Erin Liu, Federico Chiossi | Summary: Optically addressable solid-state spins have been extensively studied for quantum technologies, offering unique advantages for quantum computing, communication, and sensing. Advancing these applications is generally limited by finding materials that simultaneously provide lifetime-limited optical and […]


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Fault-tolerant correction-ready encoding of the [[7,1,3]] Steane code on a 2D grid

Posted by dbos Berkeley

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Andrea Rodriguez-Blanco, Ho Nam Nguyen, K. Birgitta Whaley, , | Summary: Practical quantum computation heavily relies on the ability to perform quantum error correction in a fault-tolerant manner. Fault-tolerant encoding is a critical first step, and careful consideration of the error correction cycle that follows is essential […]


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Identifying biases of the Majorana scattering invariant

Posted by dbos Delft

Kavli Affiliate: Michael Wimmer | First 5 Authors: Isidora Araya Day, Antonio L. R. Manesco, Michael Wimmer, Anton R. Akhmerov, | Summary: The easily accessible experimental signatures of Majorana modes are ambiguous and only probe topology indirectly: for example, quasi-Majorana states mimic most properties of Majoranas. Establishing a correspondence between an experiment and a theoretical […]


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Towards Calibrating Financial Market Simulators with High-frequency Data

Posted by klaurent Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Peng Yang, Junji Ren, Feng Wang, Ke Tang, | Summary: The fidelity of financial market simulation is restricted by the so-called "non-identifiability" difficulty when calibrating high-frequency data. This paper first analyzes the inherent loss of data information in this difficulty, and proposes to use the Kolmogorov-Smirnov test […]


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A dual-scale stochastic analysis framework for creep failure considering microstructural randomness

Posted by klaurent Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Weichen Kong, Yanwei Dai, Xiang Zhang, Yinghua Liu, | Summary: Creep failure under high temperatures is a complex multiscale and multi-mechanism issue involving inherent microstructural randomness. To investigate the effect of microstructures on the uniaxial/multiaxial creep failure, a dual-scale stochastic analysis framework is established to introduce the […]


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Ultrafast Spontaneous Exciton Dissociation via Phonon Emission in BiVO$_4$

Posted by klaurent Berkeley

Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Stephen E. Gant, Antonios M. Alvertis, Christopher J. N. Coveney, Jonah B. Haber, Marina R. Filip | Summary: Monoclinic bismuth vanadate (m-BiVO$_4$) is a promising indirect band gap semiconductor for photoelectrochemical water splitting, yet the characteristics of its low-lying photoexcitations, or excitons, remain poorly understood. Here, […]


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