3 citations · 3 across the 3 of their papers we have counts for
6 papers
Learning Chern Numbers of Topological Insulators with Gauge Equivariant Neural Networks
Longde Huang, Oleksandr Balabanov, Hampus Linander +3
Equivariant network architectures are a well-established tool for predicting invariant or equivariant quantities. However, almost all learning problems considered in this context f…
Spectral Decomposition of Liquid Viscosity into Instantaneous Normal Modes
Long-Zhou Huang, Bingyu Cui, Min-Qiang Jiang +2
Viscosity, the resistance of a liquid to flow, is driven by atomic-scale friction but its microscopic origin remains poorly understood. We use a theoretical framework based on nona…
A flat-band perspective on the boson peak in amorphous solids
Shivam Mahajan, Long-Zhou Huang, Cunyuan Jiang +4
The boson peak is a characteristic anomaly of amorphous solids broadly defined as a low-energy excess in the density of states and heat capacity compared to the textbook prediction…
A geometric approach to predicting plasticity in disordered solids
Long-Zhou Huang, Xu Yang, Min-Qiang Jiang +2
It was recently shown that vortex-like topological defects with negative winding number in the vibrational modes of a two-dimensional glass under quasistatic shear correlate strong…
Stress-stress correlations in two-dimensional amorphous and crystalline solids
Jimin Bai, Long-Zhou Huang, Jin Shang +3
Stress-stress correlations in crystalline solids with long-range order can be straightforwardly derived using elasticity theory. In contrast, the `emergent elasticity' of amorphous…
Spotting structural defects in crystals from the topology of vibrational modes
Long-Zhou Huang, Yun-Jiang Wang, Matteo Baggioli
Because of the inevitably disordered background, structural defects are not well-defined concepts in amorphous solids. In order to overcome this difficulty, it has been recently pr…