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5 papers · 1 filter
Magnetic field driven Lifshitz transition and one-dimensional Weyl nodes in three-dimensional pentatellurides
Zhigang Cai, Yi-Xiang Wang
Recent experiments reported that the magnetic field can drive the Lifshitz transition and one-dimensional (1D) Weyl nodes in the quantum limit of three-dimensional pentatellurides,…
Joint Self-supervised Depth and Optical Flow Estimation towards Dynamic Objects
Zhengyang Lu, Ying Chen
Significant attention has been attracted to deep learning-based depth estimates. Dynamic objects become the most hard problems in inter-frame-supervised depth estimates due to the…
Expanding proton dripline by employing a number of muons
Lang Liu, Yongle Yu
Through mean-field calculations, we demonstrate that, in a large nucleus binding multiple muons, these heavy leptons localize within a few dozen femtometers of the nucleus. The…
Machine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production
Alireza Shafizadeh, Hossein Shahbeik, Shahin Rafiee +7
Hydrothermal carbonization (HTC) is a process that converts biomass into versatile hydrochar without the need for prior drying. The physicochemical properties of hydrochar are infl…
Quantum oscillations and three-dimensional quantum Hall effect in ZrTe
Yi-Xiang Wang, Zhigang Cai
Recent experiments have reported a lot of spectacular transport properties in topological materials, such as quantum oscillations and three-dimensional (3D) quantum Hall effect (QH…