Le TC - Search Results

1

Biophysical Characterization and Cryopreservation of Mammalian Cells Using Ionic Liquids.

Awad MN, Brown SJ, Abraham AN, Sezer D, Han Q, Wang X, Le TC, Elbourne A, Bryant G, Greaves TL, Bryant SJ. Awad MN, et al. Among authors: le tc. J Phys Chem B. 2024 Mar 14;128(10):2504-2515. doi: 10.1021/acs.jpcb.3c06797. Epub 2024 Feb 28. J Phys Chem B. 2024. PMID: 38416751

2

Machine Learning Approaches for Further Developing the Understanding of the Property Trends Observed in Protic Ionic Liquid Containing Solvents.

Yalcin D, Le TC, Drummond CJ, Greaves TL. Yalcin D, et al. Among authors: le tc. J Phys Chem B. 2019 May 9;123(18):4085-4097. doi: 10.1021/acs.jpcb.9b02072. Epub 2019 Apr 29. J Phys Chem B. 2019. PMID: 30990705

3

Machine learning approaches to understand and predict rate constants for organic processes in mixtures containing ionic liquids.

Greaves TL, Schaffarczyk McHale KS, Burkart-Radke RF, Harper JB, Le TC. Greaves TL, et al. Among authors: le tc. Phys Chem Chem Phys. 2021 Feb 4;23(4):2742-2752. doi: 10.1039/d0cp04227g. Phys Chem Chem Phys. 2021. PMID: 33496292

4

Machine learning investigation of viscosity and ionic conductivity of protic ionic liquids in water mixtures.

Duong DV, Tran HV, Pathirannahalage SK, Brown SJ, Hassett M, Yalcin D, Meftahi N, Christofferson AJ, Greaves TL, Le TC. Duong DV, et al. Among authors: le tc. J Chem Phys. 2022 Apr 21;156(15):154503. doi: 10.1063/5.0085592. J Chem Phys. 2022. PMID: 35459305

5

Systematic Comparison of the Structural and Dynamic Properties of Commonly Used Water Models for Molecular Dynamics Simulations.

Kadaoluwa Pathirannahalage SP, Meftahi N, Elbourne A, Weiss ACG, McConville CF, Padua A, Winkler DA, Costa Gomes M, Greaves TL, Le TC, Besford QA, Christofferson AJ. Kadaoluwa Pathirannahalage SP, et al. Among authors: le tc. J Chem Inf Model. 2021 Sep 27;61(9):4521-4536. doi: 10.1021/acs.jcim.1c00794. Epub 2021 Aug 18. J Chem Inf Model. 2021. PMID: 34406000

6

Accelerating the prediction of CO₂ capture at low partial pressures in metal-organic frameworks using new machine learning descriptors.

Orhan IB, Le TC, Babarao R, Thornton AW. Orhan IB, et al. Among authors: le tc. Commun Chem. 2023 Oct 3;6(1):214. doi: 10.1038/s42004-023-01009-x. Commun Chem. 2023. PMID: 37789142 Free PMC article.

7

Toward Cell Membrane Biomimetic Lipidic Cubic Phases: A High-Throughput Exploration of Lipid Compositional Space.

Sarkar S, Tran N, Rashid MH, Le TC, Yarovsky I, Conn CE, Drummond CJ. Sarkar S, et al. Among authors: le tc. ACS Appl Bio Mater. 2019 Jan 22;2(1):182-195. doi: 10.1021/acsabm.8b00539. Epub 2018 Dec 20. ACS Appl Bio Mater. 2019. PMID: 35016341

8

Synthesis of Layered Lead-Free Perovskite Nanocrystals with Precise Size and Shape Control and Their Photocatalytic Activity.

Mai H, Li X, Lu J, Wen X, Le TC, Russo SP, Chen D, Caruso RA. Mai H, et al. Among authors: le tc. J Am Chem Soc. 2023 Aug 9;145(31):17337-17350. doi: 10.1021/jacs.3c04890. Epub 2023 Jul 31. J Am Chem Soc. 2023. PMID: 37523781

9

Prediction of O₂/N₂ Selectivity in Metal-Organic Frameworks via High-Throughput Computational Screening and Machine Learning.

Orhan IB, Daglar H, Keskin S, Le TC, Babarao R. Orhan IB, et al. Among authors: le tc. ACS Appl Mater Interfaces. 2022 Jan 12;14(1):736-749. doi: 10.1021/acsami.1c18521. Epub 2021 Dec 20. ACS Appl Mater Interfaces. 2022. PMID: 34928569

10

Machine Learning in the Development of Adsorbents for Clean Energy Application and Greenhouse Gas Capture.

Mai H, Le TC, Chen D, Winkler DA, Caruso RA. Mai H, et al. Among authors: le tc. Adv Sci (Weinh). 2022 Dec;9(36):e2203899. doi: 10.1002/advs.202203899. Epub 2022 Oct 26. Adv Sci (Weinh). 2022. PMID: 36285802 Free PMC article. Review.

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