Simple descriptor derived from symbolic regression accelerating the discovery of new perovskite catalysts B Weng, Z Song, R Zhu, Q Yan, Q Sun, CG Grice, Y Yan, WJ Yin
Nature communications 11 (1), 3513, 2020
283 2020 Visible-Light Photocatalytic CO2 Reduction Using Metal-Organic Framework Derived Ni(OH)2 Nanocages: A Synergy from Multiple Light Reflection, Static Charge … Y Su, Z Song, W Zhu, Q Mu, X Yuan, Y Lian, H Cheng, Z Deng, M Chen, ...
ACS Catalysis 11 (1), 345-354, 2020
129 2020 Achieving high-quality Sn–Pb perovskite films on complementary metal-oxide-semiconductor-compatible metal/silicon substrates for efficient imaging array HL Zhu, H Lin, Z Song, Z Wang, F Ye, H Zhang, WJ Yin, Y Yan, ...
ACS nano 13 (10), 11800-11808, 2019
58 2019 Machine learning in materials design: Algorithm and application Z Song, X Chen, F Meng, G Cheng, C Wang, Z Sun, WJ Yin
Chinese Physics B 29 (11), 116103, 2020
50 2020 Single-phase alkylammonium cesium lead iodide quasi-2D perovskites for color-tunable and spectrum-stable red LEDs H Lin, J Mao, M Qin, Z Song, W Yin, X Lu, WCH Choy
Nanoscale 11 (36), 16907-16918, 2019
32 2019 Going Beyond the d‐Band Center to Describe CO2 Activation on Single‐Atom Alloys Z Sun, Z Song, WJ Yin
Advanced Energy and Sustainability Research 3 (2), 2100152, 2022
22 2022 Inverse design with deep generative models: next step in materials discovery S Lu, Q Zhou, X Chen, Z Song, J Wang
National science review 9 (8), nwac111, 2022
18 2022 Optimization of depth-graded multilayer structure for x-ray optics using machine learning S Dieb, Z Song, WJ Yin, M Ishii
Journal of Applied Physics 128 (7), 2020
16 2020 Distilling universal activity descriptors for perovskite catalysts from multiple data sources via multi-task symbolic regression Z Song, X Wang, F Liu, Q Zhou, WJ Yin, H Wu, W Deng, J Wang
Materials Horizons 10 (5), 1651-1660, 2023
14 2023 Adaptive Design of Alloys for CO2 Activation and Methanation via Reinforcement Learning Monte Carlo Tree Search Algorithm Z Song, Q Zhou, S Lu, S Dieb, C Ling, J Wang
The Journal of Physical Chemistry Letters 14 (14), 3594-3601, 2023
5 2023 Is Large Language Model All You Need to Predict the Synthesizability and Precursors of Crystal Structures? Z Song, S Lu, M Ju, Q Zhou, J Wang
arXiv preprint arXiv:2407.07016, 2024
2 2024 Machine Learning‐Assisted Design of Nitrogen‐Rich Covalent Triazine Frameworks Photocatalysts M Wu, Z Song, Y Cui, Z Fu, K Hong, Q Li, Z Lyu, W Liu, J Wang
Advanced Functional Materials, 2413453, 2024
2 2024 Inverse Design of Promising Alloys for Electrocatalytic CO Z Song, L Fan, S Lu, Q Zhou, C Ling, J Wang
arXiv preprint arXiv:2405.18891, 2024
1 2024 Symbolic regression discovery of new perovskite catalysts with high oxygen evolution reaction activity B Weng, Z Song, R Zhu, Q Yan, Q Sun, CG Grice, Y Yan, WJ Yin
arXiv preprint arXiv:1908.06778, 2019
1 2019 Inverse design of promising electrocatalysts for CO2 reduction via generative models and bird swarm algorithm Z Song, L Fan, S Lu, C Ling, Q Zhou, J Wang
Nature Communications 16 (1), 1053, 2025
2025 T2MAT (text-to-materials): A universal framework for generating material structures with goal properties from a single sentence Z Song, S Lu, Q Zhou, J Wang
arXiv preprint arXiv:2407.06489, 2024
2024 How the Spacer Influences the Stability of 2D Perovskites? X Gao, Y Wu, Y Zhang, X Chen, Z Song, T Zhang, Q Fang, Q Ji, MG Ju, ...
Small Methods, 2401172, 2024
2024 Design of thermodynamically stable perovskites using machine learning Z Song, X Chen, S Dieb, M Ishii
JSAP Annual Meetings Extended Abstracts The 67th JSAP Spring Meeting 2020 …, 2020
2020 