23 citations · 39 across the 5 of their papers we have counts for
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cond-mat.mtrl-sci2023
Deep Learning Illuminates Spin and Lattice Interaction in Magnetic Materials
Teng Yang, Zefeng Cai, Zhengtao Huang +10
Atomistic simulations hold significant value in clarifying crucial phenomena such as phase transitions and energy transport in materials science. Their success stems from the prese…
cond-mat.mtrl-sci2022★ 11 cited
Dirac nodal lines in the quasi-one-dimensional ternary telluride TaPtTe
Shaozhu Xiao, Wen-He Jiao, Yu Lin +9
A Dirac nodal-line phase, as a quantum state of topological materials, usually occur in three-dimensional or at least two-dimensional materials with sufficient symmetry operations…