These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

120 related articles for article (PubMed ID: 37282501)

  • 1. Accelerating the Discovery of Transition Metal Borides by Machine Learning on Small Data Sets.
    Sun Y; Wang G; Li K; Peng L; Zhou J; Sun Z
    ACS Appl Mater Interfaces; 2023 Jun; 15(24):29278-29286. PubMed ID: 37282501
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Revealing the Formation Energy-Exfoliation Energy-Structure Correlation of MAB Phases Using Machine Learning and DFT.
    Siriwardane EMD; Joshi RP; Kumar N; Çakır D
    ACS Appl Mater Interfaces; 2020 Jul; 12(26):29424-29431. PubMed ID: 32495630
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Discovery of Two-dimensional Hexagonal MBene HfBO and Exploration on its Potential for Lithium-Ion Storage.
    Miao N; Gong Y; Zhang H; Shen Q; Yang R; Zhou J; Hosono H; Wang J
    Angew Chem Int Ed Engl; 2023 Sep; 62(36):e202308436. PubMed ID: 37449563
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Exploring structural, electronic, and mechanical properties of 2D hexagonal MBenes.
    Khaledialidusti R; Khazaei M; Wang V; Miao N; Si C; Wang J; Wang J
    J Phys Condens Matter; 2021 Feb; 33(15):. PubMed ID: 33682685
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Machine Learning Guided Synthesis of Multinary Chevrel Phase Chalcogenides.
    Singstock NR; Ortiz-Rodríguez JC; Perryman JT; Sutton C; Velázquez JM; Musgrave CB
    J Am Chem Soc; 2021 Jun; 143(24):9113-9122. PubMed ID: 34107683
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Discovery of Intermetallic Compounds from Traditional to Machine-Learning Approaches.
    Oliynyk AO; Mar A
    Acc Chem Res; 2018 Jan; 51(1):59-68. PubMed ID: 29244479
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Proceedings of the Second Workshop on Theory meets Industry (Erwin-Schrödinger-Institute (ESI), Vienna, Austria, 12-14 June 2007).
    Hafner J
    J Phys Condens Matter; 2008 Feb; 20(6):060301. PubMed ID: 21693862
    [TBL] [Abstract][Full Text] [Related]  

  • 8. High-efficient
    Ma XY; Lyu HY; Hao KR; Zhu ZG; Yan QB; Su G
    Nanoscale; 2021 Sep; 13(35):14694-14704. PubMed ID: 34533170
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Theoretical predictions of phase stability for orthorhombic and hexagonal ternary MAB phases.
    Carlsson A; Rosen J; Dahlqvist M
    Phys Chem Chem Phys; 2022 May; 24(18):11249-11258. PubMed ID: 35481473
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Materials Screening for the Discovery of New Half-Heuslers: Machine Learning versus ab Initio Methods.
    Legrain F; Carrete J; van Roekeghem A; Madsen GKH; Mingo N
    J Phys Chem B; 2018 Jan; 122(2):625-632. PubMed ID: 28742351
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Theoretical exploration of quaternary hexagonal MAB phases and two-dimensional derivatives.
    Yao Y; Miao N; Gong Y; Wang J
    Nanoscale; 2021 Aug; 13(31):13208-13214. PubMed ID: 34477727
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Naturally-meaningful and efficient descriptors: machine learning of material properties based on robust one-shot ab initio descriptors.
    Tawfik SA; Russo SP
    J Cheminform; 2022 Nov; 14(1):78. PubMed ID: 36348412
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Accelerated Discovery of Novel Garnet-Type Solid-State Electrolyte Candidates via Machine Learning.
    Sun J; Kang S; Kim J; Min K
    ACS Appl Mater Interfaces; 2023 Feb; 15(4):5049-5057. PubMed ID: 36654192
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Ab initio inspired design of ternary boride thin films.
    Moraes V; Riedl H; Fuger C; Polcik P; Bolvardi H; Holec D; Mayrhofer PH
    Sci Rep; 2018 Jun; 8(1):9288. PubMed ID: 29915228
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Machine-Learning-Assisted Determination of the Global Zero-Temperature Phase Diagram of Materials.
    Schmidt J; Hoffmann N; Wang HC; Borlido P; Carriço PJMA; Cerqueira TFT; Botti S; Marques MAL
    Adv Mater; 2023 Jun; 35(22):e2210788. PubMed ID: 36949007
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The Rise of 212 MAX Phase Borides: DFT Insights into the Physical Properties of Ti
    Ali MA; Hossain MM; Uddin MM; Islam AKMA; Naqib SH
    ACS Omega; 2023 Jan; 8(1):954-968. PubMed ID: 36643448
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Accelerated Discovery of Two-Dimensional Optoelectronic Octahedral Oxyhalides via High-Throughput
    Ma XY; Lewis JP; Yan QB; Su G
    J Phys Chem Lett; 2019 Nov; 10(21):6734-6740. PubMed ID: 31621332
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Designing thin film materials - Ternary borides from first principles.
    Euchner H; Mayrhofer PH
    Thin Solid Films; 2015 May; 583():46-49. PubMed ID: 26082562
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Structure-based sampling and self-correcting machine learning for accurate calculations of potential energy surfaces and vibrational levels.
    Dral PO; Owens A; Yurchenko SN; Thiel W
    J Chem Phys; 2017 Jun; 146(24):244108. PubMed ID: 28668062
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Ab Initio Calculations of Free Energy of Activation at Multiple Electronic Structure Levels Made Affordable: An Effective Combination of Perturbation Theory and Machine Learning.
    Bučko T; Gešvandtnerová M; Rocca D
    J Chem Theory Comput; 2020 Oct; 16(10):6049-6060. PubMed ID: 32786917
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.