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 […]


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Simulations of black hole fueling in isolated and merging galaxies with an explicit, multiphase ISM

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Aneesh Sivasankaran, Laura Blecha, Paul Torrey, Luke Zoltan Kelley, Aklant Bhowmick | Summary: We study gas inflows onto supermassive black holes using hydrodynamics simulations of isolated galaxies and idealized galaxy mergers with an explicit, multiphase interstellar medium (ISM). Our simulations use the recently developed ISM and stellar […]


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Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing

Kavli Affiliate: Zheng Zhu | First 5 Authors: Qingping Zheng, Jiankang Deng, Zheng Zhu, Ying Li, Stefanos Zafeiriou | Summary: This paper probes intrinsic factors behind typical failure cases (e.g. spatial inconsistency and boundary confusion) produced by the existing state-of-the-art method in face parsing. To tackle these problems, we propose a novel Decoupled Multi-task Learning […]


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