Back S - Search Results

1

Convolutional Neural Network of Atomic Surface Structures To Predict Binding Energies for High-Throughput Screening of Catalysts.

Back S, Yoon J, Tian N, Zhong W, Tran K, Ulissi ZW. Back S, et al. J Phys Chem Lett. 2019 Aug 1;10(15):4401-4408. doi: 10.1021/acs.jpclett.9b01428. Epub 2019 Jul 22. J Phys Chem Lett. 2019. PMID: 31310543

2

Dynamic Workflows for Routine Materials Discovery in Surface Science.

Tran K, Palizhati A, Back S, Ulissi ZW. Tran K, et al. Among authors: back s. J Chem Inf Model. 2018 Dec 24;58(12):2392-2400. doi: 10.1021/acs.jcim.8b00386. Epub 2018 Dec 7. J Chem Inf Model. 2018. PMID: 30453739

3

Toward Predicting Intermetallics Surface Properties with High-Throughput DFT and Convolutional Neural Networks.

Palizhati A, Zhong W, Tran K, Back S, Ulissi ZW. Palizhati A, et al. Among authors: back s. J Chem Inf Model. 2019 Nov 25;59(11):4742-4749. doi: 10.1021/acs.jcim.9b00550. Epub 2019 Nov 5. J Chem Inf Model. 2019. PMID: 31644279

4

Practical Deep-Learning Representation for Fast Heterogeneous Catalyst Screening.

Gu GH, Noh J, Kim S, Back S, Ulissi Z, Jung Y. Gu GH, et al. Among authors: back s. J Phys Chem Lett. 2020 May 7;11(9):3185-3191. doi: 10.1021/acs.jpclett.0c00634. Epub 2020 Apr 9. J Phys Chem Lett. 2020. PMID: 32191473

5

Discovery of Acid-Stable Oxygen Evolution Catalysts: High-Throughput Computational Screening of Equimolar Bimetallic Oxides.

Back S, Tran K, Ulissi ZW. Back S, et al. ACS Appl Mater Interfaces. 2020 Aug 26;12(34):38256-38265. doi: 10.1021/acsami.0c11821. Epub 2020 Aug 15. ACS Appl Mater Interfaces. 2020. PMID: 32799519

6

In silico discovery of active, stable, CO-tolerant and cost-effective electrocatalysts for hydrogen evolution and oxidation.

Back S, Na J, Tran K, Ulissi ZW. Back S, et al. Phys Chem Chem Phys. 2020 Sep 16;22(35):19454-19458. doi: 10.1039/d0cp03017a. Phys Chem Chem Phys. 2020. PMID: 32856642

7

Precious Metal-Free Nickel Nitride Catalyst for the Oxygen Reduction Reaction.

Kreider ME, Gallo A, Back S, Liu Y, Siahrostami S, Nordlund D, Sinclair R, Nørskov JK, King LA, Jaramillo TF. Kreider ME, et al. Among authors: back s. ACS Appl Mater Interfaces. 2019 Jul 31;11(30):26863-26871. doi: 10.1021/acsami.9b07116. Epub 2019 Jul 16. ACS Appl Mater Interfaces. 2019. PMID: 31310093

8

Catalytic activity trends of pyrite transition metal dichalcogenides for oxygen reduction and evolution.

Lee W, Kim J, Kim H, Back S. Lee W, et al. Among authors: back s. Phys Chem Chem Phys. 2022 Aug 24;24(33):19911-19918. doi: 10.1039/d2cp01518h. Phys Chem Chem Phys. 2022. PMID: 35960004

9

Prediction of Stable and Active (Oxy-Hydro) Oxide Nanoislands on Noble-Metal Supports for Electrochemical Oxygen Reduction Reaction.

Back S, Hansen MH, Garrido Torres JA, Zhao Z, Nørskov JK, Siahrostami S, Bajdich M. Back S, et al. ACS Appl Mater Interfaces. 2019 Jan 16;11(2):2006-2013. doi: 10.1021/acsami.8b15428. Epub 2019 Jan 7. ACS Appl Mater Interfaces. 2019. PMID: 30582334

10

Atomic Structure-Free Representation of Active Motifs for Expedited Catalyst Discovery.

Mok DH, Back S. Mok DH, et al. Among authors: back s. J Chem Inf Model. 2021 Sep 27;61(9):4514-4520. doi: 10.1021/acs.jcim.1c00726. Epub 2021 Aug 23. J Chem Inf Model. 2021. PMID: 34423642

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