Pangenomics provides insights into the role of synanthropy in barn swallow evolution

Kavli Affiliate: Erich Jarvis | Authors: Simona Secomandi, Guido Roberto Gallo, Marcella Sozzoni, Alessio Iannucci, Elena Galati, Linelle Abueg, Jennifer Balacco, Manuela Caprioli, William Chow, Claudio Ciofi, Joanna Collins, Olivier Fedrigo, Luca Ferretti, Arkarachai Fungtammasan, Bettina Haase, Kerstin Howe, Woori Kwak, Gianluca Lombardo, Patrick Masterson, Graziella Messina, Anders Pape Møller, Jacquelyn Mountcastle, Timothy A. Mousseau, […]


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Capacitive temperature sensing via displacement amplification

Kavli Affiliate: Chiara Daraio | First 5 Authors: Semih Taniker, Vincenzo Costanza, Paolo Celli, Chiara Daraio, | Summary: We propose the realization of capacitive temperature sensors based on the concept of displacement amplification. Our design features two high coefficient of thermal expansion (CTE) metallic layers separated by a low-CTE dielectric layer; conductive and dielectric layers […]


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An EEG-Based Multi-Modal Emotion Database with Both Posed and Authentic Facial Actions for Emotion Analysis

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiaotian Li, Xiang Zhang, Huiyuan Yang, Wenna Duan, Weiying Dai | Summary: Emotion is an experience associated with a particular pattern of physiological activity along with different physiological, behavioral and cognitive changes. One behavioral change is facial expression, which has been studied extensively over the past few […]


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Current-enabled optical conductivity of superconductors

Kavli Affiliate: Joel E. Moore | First 5 Authors: Michał Papaj, Joel E. Moore, , , | Summary: In most superconductors, optical excitations require impurity scattering or the presence of multiple bands. This is because in clean single-band superconductors, the combination of particle-hole and inversion symmetries prevents momentum-conserving transitions. In this work we show how […]


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A quantum-inspired tensor network method for constrained combinatorial optimization problems

Kavli Affiliate: Cheng Peng | First 5 Authors: Tianyi Hao, Xuxin Huang, Chunjing Jia, Cheng Peng, | Summary: Combinatorial optimization is of general interest for both theoretical study and real-world applications. Fast-developing quantum algorithms provide a different perspective on solving combinatorial optimization problems. In this paper, we propose a quantum-inspired tensor-network-based algorithm for general locally […]


Continue.. A quantum-inspired tensor network method for constrained combinatorial optimization problems

A quantum-inspired tensor network method for constrained combinatorial optimization problems

Kavli Affiliate: Cheng Peng | First 5 Authors: Tianyi Hao, Xuxin Huang, Chunjing Jia, Cheng Peng, | Summary: Combinatorial optimization is of general interest for both theoretical study and real-world applications. Fast-developing quantum algorithms provide a different perspective on solving combinatorial optimization problems. In this paper, we propose a quantum inspired algorithm for general locally […]


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How to grow a flat leaf

Kavli Affiliate: L. Mahadevan | First 5 Authors: Salem al-Mosleh, L. Mahadevan, , , | Summary: Growing a flat lamina such as a leaf is almost impossible without some feedback to stabilize long wavelength modes that are easy to trigger since they are energetically cheap. Here we combine the physics of thin elastic plates with […]


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Offline-Online Learning of Deformation Model for Cable Manipulation with Graph Neural Networks

Kavli Affiliate: Xiang Zhang | First 5 Authors: Changhao Wang, Yuyou Zhang, Xiang Zhang, Zheng Wu, Xinghao Zhu | Summary: Manipulating deformable linear objects by robots has a wide range of applications, e.g., manufacturing and medical surgery. To complete such tasks, an accurate dynamics model for predicting the deformation is critical for robust control. In […]


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Long-term evolution of supercritical black hole accretion with outflows: a subgrid feedback model for cosmological simulations

Kavli Affiliate: Kohei Inayoshi | First 5 Authors: Haojie Hu, Kohei Inayoshi, Zoltán Haiman, Eliot Quataert, Rolf Kuiper | Summary: We study the long-term evolution of the global structure of axisymmetric accretion flows onto a black hole (BH) at rates substantially higher than the Eddington value ($dot{M}_{rm Edd}$), performing two-dimensional hydrodynamical simulations with and without […]


Continue.. Long-term evolution of supercritical black hole accretion with outflows: a subgrid feedback model for cosmological simulations