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Autonomous Energy Materials Discovery Publications
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Autonomous Energy Materials Discovery Publications
Displaying 41 - 50 of 93
2021
X. Zhou, A. Khetan, S. Er ,
Evaluation of Computational Chemistry Methods for Predicting Redox Potentials of Quinone-Based Cathodes for Li-Ion Batteries
, Batteries
, 7 (2021) 71
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,
DOI
Q. Zhang, A. Khetan, S. Er ,
A Quantitative Evaluation of Computational Methods to Accelerate the Study of Alloxazine-Derived Electroactive Compounds for Energy Storage
, Scientific Reports
, 11 (2021) 4089
,
,
DOI
C. W. Anderson, R. Armiento, E. Blokhin, G. J. Conduit, S. Dwaraknath, M. L. Evans, A. Fekete, A. Gopakumar, S. Grazulis, S. Er , et al. ,
OPTIMADE, an API for exchanging materials data
, Nature Scientific Data
, 8 (2021) 217
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DOI
2020
T. T. Belete, M. C. M. van de Sanden, M. A. Gleeson ,
Performance of transition metal-doped CaCO3 during cyclic CO2 capture-and-release in low-pressure H2O vapour and H2O plasma
, Sustainable Materials and Technologies
, 25 (2020) e00163
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,
2020_1637.pdf
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DOI
I. Tezsevin, M. C. M. van de Sanden, S. Er ,
Surface charging activated mechanism change: A computational study of O, CO, and CO2 interactions on Ag electrodes
, Journal of Energy Chemistry
, 50 (2020) 307-313
,
,
DOI
C. J. Weststrate, D. Sharma, D. Garcia Rodriguez, M. A. Gleeson, H. O. A. Fredriksson, J. W. Niemantsverdriet ,
Mechanistic insight into carbon-carbon bond formation on cobalt under simulated Fischer-Tropsch synthesis conditions
, Nature Communications
, 11 (2020) 750
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,
DOI
M. C. Sorkun, O. D. Incel, C. Paoli ,
Time series forecasting on multi-variate solar radiation data using deep learning (LSTM)
, Turkish Journal of Electrical Engineering & Computer Sciences
, 28 (2020) 211-223
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,
DOI
A. Caglar, D. Duzenli, I. Onal, I. Tezsevin, D. Sahin, H. Kivrak ,
A comparative experimental and density functional study of glucose adsorption and electrooxidation on the Au-graphene and Pt-graphene electrodes
, International Journal of Hydrogen Energy
, 45 (2020) 490-500
,
DOI
M. C. Sorkun, S. Astruc, J. M. V. A. Koelman, S. Er ,
An artificial intelligence-aided virtual screening recipe for two-dimensional materials discovery
, NPJ Computational Materials
, 6 (2020) 106
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,
DOI
Q. Zhang, A. Khetan, S. Er ,
Comparison of computational chemistry methods for the discovery of quinone-based electroactive compounds for energy storage
, Scientific Reports
, 10 (2020) 22149
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DOI
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