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Zhao Fan
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Thermoelectric high-entropy alloys with low lattice thermal conductivity
Z Fan, H Wang, Y Wu, XJ Liu, ZP Lu
Rsc Advances 6 (57), 52164-52170, 2016
1162016
Thermoelectric performance of PbSnTeSe high-entropy alloys
Z Fan, H Wang, Y Wu, X Liu, Z Lu
Materials Research Letters 5 (3), 187-194, 2017
1052017
Machine learning bridges local static structure with multiple properties in metallic glasses
Z Fan, J Ding, E Ma
Materials Today 40, 48-62, 2020
622020
Predicting orientation-dependent plastic susceptibility from static structure in amorphous solids via deep learning
Z Fan, E Ma
Nature communications 12 (1), 1506, 2021
522021
Tension–compression asymmetry in amorphous silicon
Y Wang, J Ding, Z Fan, L Tian, M Li, H Lu, Y Zhang, E Ma, J Li, Z Shan
Nature Materials 20 (10), 1371-1377, 2021
432021
Correlating the properties of amorphous silicon with its flexibility volume
Z Fan, J Ding, QJ Li, E Ma
Physical Review B 95 (14), 144211, 2017
242017
Atomic vibration as an indicator of the propensity for configurational rearrangements in metallic glasses
H Fan, Z Fan, X Liu, Z Lu, E Ma
Materials Horizons 8 (9), 2359-2372, 2021
212021
Making glassy solids ductile at room temperature by imparting flexibility into their amorphous structure
Z Fan, J Ding, E Ma
Materials Research Letters 6 (10), 570-583, 2018
162018
Predicting path-dependent diffusion barrier spectra in vast compositional space of multi-principal element alloys via convolutional neural networks
Z Fan, B Xing, P Cao
Acta Materialia 237, 118159, 2022
152022
Predicting the location of shear band initiation in a metallic glass
Z Fan, E Ma, ML Falk
Physical Review Materials 6 (6), 065602, 2022
102022
Microscopic mechanisms of pressure-induced amorphous-amorphous transitions and crystallisation in silicon
Z Fan, H Tanaka
Nature Communications 15 (1), 368, 2024
2024
Convolutional neural networks enable high-fidelity prediction of path-dependent diffusion barrier spectra in multi-principal element alloys
Z Fan, B Xing, P Cao
arXiv preprint arXiv:2203.06503, 2022
2022
Structure-property relationships in amorphous solids via atomic simulations and machine learning
Z Fan
Johns Hopkins University, 2020
2020
Structure-property relations in metallic glasses via machine learning
E Ma, Z Fan
International Conference on Nanostructured Materials (NANO 2020), 130, 2020
2020
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Articles 1–14