153 related articles for article (PubMed ID: 37789142)
1. Accelerating the prediction of CO
Orhan IB; Le TC; Babarao R; Thornton AW
Commun Chem; 2023 Oct; 6(1):214. PubMed ID: 37789142
[TBL] [Abstract][Full Text] [Related]
2. Machine Learning Using Combined Structural and Chemical Descriptors for Prediction of Methane Adsorption Performance of Metal Organic Frameworks (MOFs).
Pardakhti M; Moharreri E; Wanik D; Suib SL; Srivastava R
ACS Comb Sci; 2017 Oct; 19(10):640-645. PubMed ID: 28800219
[TBL] [Abstract][Full Text] [Related]
3. Deep learning and big data mining for Metal-Organic frameworks with high performance for simultaneous desulfurization and carbon capture.
Guan K; Xu F; Huang X; Li Y; Guo S; Situ Y; Chen Y; Hu J; Liu Z; Liang H; Zhu X; Wu Y; Qiao Z
J Colloid Interface Sci; 2024 May; 662():941-952. PubMed ID: 38382377
[TBL] [Abstract][Full Text] [Related]
4. Deep-Learning-Based End-to-End Predictions of CO
Lu C; Wan X; Ma X; Guan X; Zhu A
J Chem Inf Model; 2022 Jul; 62(14):3281-3290. PubMed ID: 35574760
[TBL] [Abstract][Full Text] [Related]
5. Fast and Accurate Machine Learning Strategy for Calculating Partial Atomic Charges in Metal-Organic Frameworks.
Kancharlapalli S; Gopalan A; Haranczyk M; Snurr RQ
J Chem Theory Comput; 2021 May; 17(5):3052-3064. PubMed ID: 33739834
[TBL] [Abstract][Full Text] [Related]
6. Quantum Informed Machine-Learning Potentials for Molecular Dynamics Simulations of CO
Zheng B; Oliveira FL; Neumann Barros Ferreira R; Steiner M; Hamann H; Gu GX; Luan B
ACS Nano; 2023 Mar; 17(6):5579-5587. PubMed ID: 36883740
[TBL] [Abstract][Full Text] [Related]
7. Gradient Boosted Machine Learning Model to Predict H
Bailey T; Jackson A; Berbece RA; Wu K; Hondow N; Martin E
J Chem Inf Model; 2023 Aug; 63(15):4545-4551. PubMed ID: 37463276
[TBL] [Abstract][Full Text] [Related]
8. Large-Scale Screening and Machine Learning for Metal-Organic Framework Membranes to Capture CO
Situ Y; Yuan X; Bai X; Li S; Liang H; Zhu X; Wang B; Qiao Z
Membranes (Basel); 2022 Jul; 12(7):. PubMed ID: 35877903
[TBL] [Abstract][Full Text] [Related]
9. Rapid Screening of Metal-Organic Frameworks for Propane/Propylene Separation by Synergizing Molecular Simulation and Machine Learning.
Tang H; Xu Q; Wang M; Jiang J
ACS Appl Mater Interfaces; 2021 Nov; 13(45):53454-53467. PubMed ID: 34665615
[TBL] [Abstract][Full Text] [Related]
10. High-Throughput Screening of Metal-Organic Frameworks for CO
Li S; Chung YG; Snurr RQ
Langmuir; 2016 Oct; 32(40):10368-10376. PubMed ID: 27627635
[TBL] [Abstract][Full Text] [Related]
11. High-Throughput Screening of the CoRE-MOF-2019 Database for CO
Kancharlapalli S; Snurr RQ
ACS Appl Mater Interfaces; 2023 Jun; 15(23):28084-28092. PubMed ID: 37262369
[TBL] [Abstract][Full Text] [Related]
12. Accelerating Metal-Organic Framework Selection for Type III Porous Liquids by Synergizing Machine Learning and Molecular Simulation.
Sheng L; Wang Y; Mou X; Xu B; Chen Z
ACS Appl Mater Interfaces; 2023 Dec; 15(48):56253-56264. PubMed ID: 37988477
[TBL] [Abstract][Full Text] [Related]
13. Can Charge-Modulated Metal-Organic Frameworks Achieve High-Performance CO
Wang M; Kong L; Lu X; Wu CL
ChemSusChem; 2022 Feb; 15(3):e202101674. PubMed ID: 34873862
[TBL] [Abstract][Full Text] [Related]
14. Machine Learning-Assisted Computational Screening of Metal-Organic Frameworks for Atmospheric Water Harvesting.
Li L; Shi Z; Liang H; Liu J; Qiao Z
Nanomaterials (Basel); 2022 Jan; 12(1):. PubMed ID: 35010109
[TBL] [Abstract][Full Text] [Related]
15. Advanced Strategies in Metal-Organic Frameworks for CO
Usman M; Iqbal N; Noor T; Zaman N; Asghar A; Abdelnaby MM; Galadima A; Helal A
Chem Rec; 2022 Jul; 22(7):e202100230. PubMed ID: 34757694
[TBL] [Abstract][Full Text] [Related]
16. Geometrical Properties Can Predict CO2 and N2 Adsorption Performance of Metal-Organic Frameworks (MOFs) at Low Pressure.
Fernandez M; Barnard AS
ACS Comb Sci; 2016 May; 18(5):243-52. PubMed ID: 27022760
[TBL] [Abstract][Full Text] [Related]
17. Mapping the Porous and Chemical Structure-Function Relationships of Trace CH
Wu X; Che Y; Chen L; Amigues EJ; Wang R; He J; Dong H; Ding L
ACS Appl Mater Interfaces; 2022 Oct; 14(41):47209-47221. PubMed ID: 36197758
[TBL] [Abstract][Full Text] [Related]
18. Screening the Effect of Water Vapour on Gas Adsorption Performance: Application to CO
Chanut N; Bourrelly S; Kuchta B; Serre C; Chang JS; Wright PA; Llewellyn PL
ChemSusChem; 2017 Apr; 10(7):1543-1553. PubMed ID: 28252246
[TBL] [Abstract][Full Text] [Related]
19. High-throughput computational screening of hypothetical metal-organic frameworks with open copper sites for CO
Li M; Cai W; Wang C; Wu X
Phys Chem Chem Phys; 2022 Aug; 24(31):18764-18776. PubMed ID: 35903942
[TBL] [Abstract][Full Text] [Related]
20. Data-driven design of metal-organic frameworks for wet flue gas CO
Boyd PG; Chidambaram A; García-Díez E; Ireland CP; Daff TD; Bounds R; Gładysiak A; Schouwink P; Moosavi SM; Maroto-Valer MM; Reimer JA; Navarro JAR; Woo TK; Garcia S; Stylianou KC; Smit B
Nature; 2019 Dec; 576(7786):253-256. PubMed ID: 31827290
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]