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 | 123 | 2016 |
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 | 108 | 2017 |
Machine learning bridges local static structure with multiple properties in metallic glasses Z Fan, J Ding, E Ma Materials Today 40, 48-62, 2020 | 65 | 2020 |
Predicting orientation-dependent plastic susceptibility from static structure in amorphous solids via deep learning Z Fan, E Ma Nature communications 12 (1), 1506, 2021 | 53 | 2021 |
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 | 46 | 2021 |
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 | 25 | 2017 |
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 | 19 | 2021 |
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 | 18 | 2022 |
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 | 17 | 2018 |
Predicting the location of shear band initiation in a metallic glass Z Fan, E Ma, ML Falk Physical Review Materials 6 (6), 065602, 2022 | 14 | 2022 |
Microscopic mechanisms of pressure-induced amorphous-amorphous transitions and crystallisation in silicon Z Fan, H Tanaka Nature Communications 15 (1), 368, 2024 | 4 | 2024 |
Structural origin of the anisotropic local mechanical response of amorphous silicon Z Fan Physical Review Materials 8 (6), L060601, 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 |