34 citations · 38 across the 8 of their papers we have counts for
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cond-mat.mtrl-sci2026
Six Open Questions in Machine-Learned Interatomic Potential Foundation Models
Isabel Creed, Tim Rein, Ingvars Vitenburgs +21
Machine-learned interatomic potentials (MLIPs) have had a profound impact on molecular modelling in recent years, promising to resolve the long-standing tension between the scale a…
cond-mat.mtrl-sci2025★ 1 cited
Thermal transport of amorphous hafnia across the glass transition
Zezhu Zeng, Xia Liang, Zheyong Fan +3
Heat transport in glasses across a wide range of temperature is vital for applications in gate dielectrics and heat insulator. However, it remains poorly understood due to the chal…
cond-mat.mtrl-sci2024★ 2 cited
Lattice distortion leads to glassy thermal transport in crystalline CsBiICl
Zezhu Zeng, Zheyong Fan, Michele Simoncelli +5
The glassy thermal conductivities observed in crystalline inorganic perovskites such as CsBiICl is perplexing and lacking theoretical explanations. Here, we first e…