Kavli Affiliate: Cees Dekker | First 5 Authors: Xin Shi, Anna-Katharina Pumm, Jonas Isensee, Wenxuan Zhao, Daniel Verschueren | Summary: Flow-driven rotary motors drive functional processes in human society such as windmills and water wheels. Although examples of such rotary motors also feature prominently in cell biology, their synthetic construction at the nanoscale has thus […]
Kavli Affiliate: Cees Dekker | First 5 Authors: Xin Shi, Anna-Katharina Pumm, Jonas Isensee, Wenxuan Zhao, Daniel Verschueren | Summary: Flow-driven rotary motors drive functional processes in human society such as windmills and water wheels. Although examples of such rotary motors also feature prominently in cell biology, their synthetic construction at the nanoscale has thus […]
Kavli Affiliate: Cees Dekker | First 5 Authors: Xin Shi, Anna-Katharina Pumm, Christopher Maffeo, Fabian Kohler, Elija Feigl | Summary: Rotary motors play key roles in energy transduction, from macroscale windmills to nanoscale turbines such as ATP synthase in cells. Despite our capabilities to construct engines at many scales, developing functional synthetic turbines at the […]
Kavli Affiliate: Wei Gao | First 5 Authors: Bang Liu, Li-Hua Zhang, Zong-Kai Liu, Zheng-Yuan Zhang, Zhi-Han Zhu | Summary: Rydberg atoms have great potential in electric field measurement and have an advantage with a large frequency bandwidth from the kHz to the THz scale. However, the sensitivity for measuring a weak MHz electric field […]
Kavli Affiliate: Wei Gao | First 5 Authors: Bang Liu, Li-Hua Zhang, Zong-Kai Liu, Zheng-Yuan Zhang, Zhi-Han Zhu | Summary: Rydberg atoms have great potential in electric field measurement and have an advantage with a large frequency bandwidth from the kHz to the THz scale. However, the sensitivity for measuring a weak MHz electric field […]
Kavli Affiliate: Joel E. Moore | First 5 Authors: Maxime Dupont, Nicolas Didier, Mark J. Hodson, Joel E. Moore, Matthew J. Reagor | Summary: Trading fidelity for scale enables approximate classical simulators such as matrix product states (MPS) to run quantum circuits beyond exact methods. A control parameter, the so-called bond dimension $chi$ for MPS, […]
Kavli Affiliate: Robert Wood | First 5 Authors: Tianle Yuan, Hua Song, Robert Wood, Chenxi Wang, Lazaros Oreopoulos | Summary: Ship-tracks are produced by ship-emitted aerosols interacting with marine low clouds. Here we apply deep learning models on satellite data to produce the first multi-year global climatology map of ship-tracks. We show that ship-tracks are […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianxiang Zhao, Xiang Zhang, Suhang Wang, , | Summary: In recent years, graph neural networks (GNNs) have achieved state-of-the-art performance for node classification. However, most existing GNNs would suffer from the graph imbalance problem. In many real-world scenarios, node classes are imbalanced, with some majority classes making […]
Kavli Affiliate: Joel E. Moore | First 5 Authors: Tessa Cookmeyer, Joel E. Moore, , , | Summary: There have been substantial recent efforts, both experimentally and theoretically, to find a material realization of the Kitaev spin-liquid–the ground state of the exactly solvable Kitaev model on the honeycomb lattice. Candidate materials are now plentiful, but […]
Kavli Affiliate: Wei Gao | First 5 Authors: Yiqing Xu, Wei Gao, David Hsu, , | Summary: Inverse reinforcement learning (IRL) seeks to infer a cost function that explains the underlying goals and preferences of expert demonstrations. This paper presents receding horizon inverse reinforcement learning (RHIRL), a new IRL algorithm for high-dimensional, noisy, continuous systems […]