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Ziqin Rong
Ziqin Rong
MIT Computer Science Master, Materials Science PhD
Verified email at mit.edu
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Cited by
Cited by
Year
Promises and challenges of next-generation “beyond Li-ion” batteries for electric vehicles and grid decarbonization
Y Tian, G Zeng, A Rutt, T Shi, H Kim, J Wang, J Koettgen, Y Sun, ...
Chemical reviews 121 (3), 1623-1669, 2020
9392020
Unsupervised word embeddings capture latent knowledge from materials science literature
V Tshitoyan, J Dagdelen, L Weston, A Dunn, Z Rong, O Kononova, ...
Nature 571 (7763), 95-98, 2019
9322019
Materials design rules for multivalent ion mobility in intercalation structures
Z Rong, R Malik, P Canepa, G Sai Gautam, M Liu, A Jain, K Persson, ...
Chemistry of Materials 27 (17), 6016-6021, 2015
5262015
Spinel compounds as multivalent battery cathodes: a systematic evaluation based on ab initio calculations
M Liu, Z Rong, R Malik, P Canepa, A Jain, G Ceder, KA Persson
Energy & Environmental Science 8 (3), 964-974, 2015
5042015
A high capacity thiospinel cathode for Mg batteries
X Sun, P Bonnick, V Duffort, M Liu, Z Rong, KA Persson, G Ceder, ...
Energy & Environmental Science 9 (7), 2273-2277, 2016
4022016
Text-mined dataset of inorganic materials synthesis recipes
O Kononova, H Huo, T He, Z Rong, T Botari, W Sun, V Tshitoyan, G Ceder
Scientific data 6 (1), 203, 2019
2182019
Evaluation of sulfur spinel compounds for multivalent battery cathode applications
M Liu, A Jain, Z Rong, X Qu, P Canepa, R Malik, G Ceder, KA Persson
Energy & Environmental Science 9 (10), 3201-3209, 2016
1422016
Understanding the initial stages of reversible Mg deposition and stripping in inorganic nonaqueous electrolytes
P Canepa, GS Gautam, R Malik, S Jayaraman, Z Rong, KR Zavadil, ...
Chemistry of Materials 27 (9), 3317-3325, 2015
1222015
Semi-supervised machine-learning classification of materials synthesis procedures
H Huo, Z Rong, O Kononova, W Sun, T Botari, T He, V Tshitoyan, G Ceder
Npj Computational Materials 5 (1), 62, 2019
1132019
An efficient algorithm for finding the minimum energy path for cation migration in ionic materials
Z Rong, D Kitchaev, P Canepa, W Huang, G Ceder
The Journal of chemical physics 145 (7), 2016
692016
Similarity of precursors in solid-state synthesis as text-mined from scientific literature
T He, W Sun, H Huo, O Kononova, Z Rong, V Tshitoyan, T Botari, G Ceder
Chemistry of Materials 32 (18), 7861-7873, 2020
682020
Finding and proving the exact ground state of a generalized Ising model by convex optimization and MAX-SAT
W Huang, DA Kitchaev, ST Dacek, Z Rong, A Urban, S Cao, C Luo, ...
Physical Review B 94 (13), 134424, 2016
392016
Fast Mg 2+ diffusion in Mo 3 (PO 4) 3 O for Mg batteries
Z Rong, P Xiao, M Liu, W Huang, DC Hannah, W Scullin, KA Persson, ...
Chemical Communications 53 (57), 7998-8001, 2017
262017
Magnesium ion mobility in post-spinels accessible at ambient pressure
DC Hannah, GS Gautam, P Canepa, Z Rong, G Ceder
Chemical communications 53 (37), 5171-5174, 2017
262017
Electrostatic estimation of intercalant jump-diffusion barriers using finite-size ion models
NER Zimmermann, DC Hannah, Z Rong, M Liu, G Ceder, M Haranczyk, ...
The journal of physical chemistry letters 9 (3), 628-634, 2018
202018
Construction of ground-state preserving sparse lattice models for predictive materials simulations
W Huang, A Urban, Z Rong, Z Ding, C Luo, G Ceder
npj Computational Materials 3 (1), 30, 2017
142017
How insoluble particles affect the solutions’ conductivity: a theory and the test in NaCl and chitosan solutions
Z Rong, Q Feng
The Journal of Physical Chemistry B 115 (44), 12816-12821, 2011
42011
Constructing and proving the ground state of a generalized Ising model by the cluster tree optimization algorithm
W Huang, D Kitchaev, S Dacek, Z Rong, Z Ding, G Ceder
arXiv preprint arXiv:1606.07429, 2016
32016
(Invited) Data-Driven Materials Design for Compounds with Improved Mg Intercalation Mobility
M Liu, Z Rong, N Zimmermann, M Haranczyk, G Ceder, KA Persson
Electrochemical Society Meeting Abstracts 232, 1704-1704, 2017
12017
An LL-norm compressive sensing paradigm for the construction of sparse predictive lattice models using mixed integer quadratic programming
W Huang, A Urban, P Xiao, Z Rong, H Das, T Chen, N Artrith, A Toumar, ...
arXiv preprint arXiv:1807.10753, 2018
2018
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