Yiming zhang
Yiming zhang
Associate Professor in Ningbo Institute of Materials Technology & Engineering, CAS
Verified email at nimte.ac.cn - Homepage
Cited by
Cited by
Corrected Values for Boiling Points and Enthalpies of Vaporization of Elements in Handbooks
Y Zhang, JRG Evans, S Yang
Journal of Chemical & Engineering Data 56 (2), 328-337, 2011
Co< sub> 3</sub> O< sub> 4</sub> nanowires as high capacity anode materials for lithium ion batteries
X Yao, X Xin, Y Zhang, J Wang, Z Liu, X Xu
Journal of Alloys and Compounds, 2012
Microspherical polyaniline/graphene nanocomposites for high performance supercapacitors
H Cao, X Zhou, Y Zhang, L Chen, Z Liu
Journal of Power Sources 243, 715-720, 2013
Revisiting Hume-Rothery’s Rules with artificial neural networks
YM Zhang, S Yang, JRG Evans
Acta materialia 56 (5), 1094-1105, 2008
Multielemental single–atom-thick A layers in nanolaminated V2 (Sn, A) C (A= Fe, Co, Ni, Mn) for tailoring magnetic properties
Y Li, J Lu, M Li, K Chang, X Zha, Y Zhang, K Chen, POŇ Persson, ...
Proceedings of the National Academy of Sciences, 2019
A novel 3D-layered electrochemical-thermal coupled model strategy for the nail-penetration process simulation
G Liang, Y Zhang, Q Han, Z Liu, Z Jiang, S Tian
Journal of Power Sources 342, 836-845, 2017
The prediction of solid solubility of alloys: developments and applications of Hume-Rothery’s rules
YM Zhang, JRG Evans, S Yang
The Journal of Crystallization Physics and Chemistry, 1 (2), 81-97, 2010
The Ragone plots guided sizing of hybrid storage system for taming the wind power
Y Zhang, X Tang, Z Qi, Z Liu
International Journal of Electrical Power & Energy Systems 65, 246-253, 2015
Si/C nanocomposite anode materials by freeze-drying with enhanced electrochemical performance in lithium-ion batteries
X Xin, X Yao, Y Zhang, Z Liu, X Xu
Journal of Solid State Electrochemistry, 1-6, 2012
Development of interatomic potentials for Fe-Cr-Al alloy with the particle swarm optimization method
Z Liu, Q Han, Y Guo, J Lang, D Shi, Y Zhang, Q Huang, H Deng, F Gao, ...
Journal of Alloys and Compounds 780, 881-887, 2019
Two-dimensional semiconducting Lu 2 CT 2 (T= F, OH) MXene with low work function and high carrier mobility
X Bai, XH Zha, Y Qiao, N Qiu, Y Zhang, K Luo, J He, Q Li, Q Huang, ...
Nanoscale 12 (6), 3795-3802, 2020
Synthesis and Electrochemical Feature of a Multiple-Phases Li-Rich Nickel Manganese Oxides Cathode Material
J Wang, Y Xia, X Yao, M Zhang, Y Zhang, Z Liu
Int. J. Electrochem. Sci 6, 6670-6681, 2011
Detection of material property errors in handbooks and databases using artificial neural networks with hidden correlations
YM Zhang, JRG Evans, SF Yang
Philosophical Magazine 90 (33), 4453-4474, 2010
The role of Hume-Rothery's rules play in the MAX phases formability
Y Zhang, Z Mao, Q Han, Y Li, M Li, S Du, Z Chai, Q Huang
Materialia, 100810, 2020
Predicting the structural stability and formability of ABO3-Type perovskite compounds using artificial neural networks
Y Zhang, R Ubic, D Xue, S Yang
Materials Focus 1 (1), 57-64, 2012
Adopting combined strategies to make state of charge (SOC) estimation for practical use
Q Du, Q Han, Y Zhang, Z Liu, S Tian, Z Zhang
Journal of Renewable and Sustainable Energy 10 (3), 034102, 2018
MAX Phase Zr2SeC and Its Thermal Conduction Behavior
K Chen, X Bai, X Mu, P Yan, N Qiu, Y Li, J Zhou, Y Song, Y Zhang, S Du, ...
arXiv preprint arXiv:2102.02560, 2021
New formulation for reduction potentials of (Cu, Ni, Al, Zn)–lanthanide alloys–Implications for electrolysis-based pyroprocessing of spent nuclear fuel
M Zhang, P Wang, Y Zhang, D Ji, Y Yan, W Shi, Q Huang, S Du
Electrochemistry Communications 93, 180-182, 2018
Applications of artificial neural networks (ANNs) in several different materials research fields
Y Zhang
Exploring Correlations Between Properties Using Artificial Neural Networks
Y Zhang, JRG Evans, S Yang
Metallurgical and Materials Transactions A 51 (1), 58-75, 2020
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