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 *

113 related articles for article (PubMed ID: 37738009)

  • 1. Machine-Learning Accelerated First-Principles Accurate Modeling of the Solid-Liquid Phase Transition in MgO under Mantle Conditions.
    Wisesa P; Andolina CM; Saidi WA
    J Phys Chem Lett; 2023 Oct; 14(39):8741-8748. PubMed ID: 37738009
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Shock Response and Phase Transitions of MgO at Planetary Impact Conditions.
    Root S; Shulenburger L; Lemke RW; Dolan DH; Mattsson TR; Desjarlais MP
    Phys Rev Lett; 2015 Nov; 115(19):198501. PubMed ID: 26588422
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Melting curve of MgO from first-principles simulations.
    Alfè D
    Phys Rev Lett; 2005 Jun; 94(23):235701. PubMed ID: 16090481
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Demixing instability in dense molten MgSiO3 and the phase diagram of MgO.
    Boates B; Bonev SA
    Phys Rev Lett; 2013 Mar; 110(13):135504. PubMed ID: 23581337
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Local structure, thermodynamics, and melting of boron phosphide at high pressures by deep learning-driven ab initio simulations.
    Chtchelkatchev NM; Ryltsev RE; Magnitskaya MV; Gorbunov SM; Cherednichenko KA; Solozhenko VL; Brazhkin VV
    J Chem Phys; 2023 Aug; 159(6):. PubMed ID: 37551816
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Gaussian approximation potentials for accurate thermal properties of two-dimensional materials.
    Kocabaş T; Keçeli M; Vázquez-Mayagoitia Á; Sevik C
    Nanoscale; 2023 May; 15(19):8772-8780. PubMed ID: 37098822
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Evidence for supercritical behaviour of high-pressure liquid hydrogen.
    Cheng B; Mazzola G; Pickard CJ; Ceriotti M
    Nature; 2020 Sep; 585(7824):217-220. PubMed ID: 32908269
    [TBL] [Abstract][Full Text] [Related]  

  • 8. New insights into the melting behavior of MgO from molecular dynamics simulations: the importance of premelting effects.
    Aguado A; Madden PA
    Phys Rev Lett; 2005 Feb; 94(6):068501. PubMed ID: 15783784
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Pressure effects on the transitions between disordered phases in supercooled liquid silicon.
    Garcez KM; Antonelli A
    J Chem Phys; 2011 Nov; 135(20):204508. PubMed ID: 22128944
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The melting points of MgO up to 4 TPa predicted based on ab initio thermodynamic integration molecular dynamics.
    Taniuchi T; Tsuchiya T
    J Phys Condens Matter; 2018 Mar; 30(11):114003. PubMed ID: 29393072
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The phase diagrams of beryllium and magnesium oxide at megabar pressures.
    Wu J; González-Cataldo F; Soubiran F; Militzer B
    J Phys Condens Matter; 2022 Feb; 34(14):. PubMed ID: 35026747
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Stability of dense liquid carbon dioxide.
    Boates B; Teweldeberhan AM; Bonev SA
    Proc Natl Acad Sci U S A; 2012 Sep; 109(37):14808-12. PubMed ID: 22908240
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Ab initio melting curve of molybdenum by the phase coexistence method.
    Cazorla C; Gillan MJ; Taioli S; Alfè D
    J Chem Phys; 2007 May; 126(19):194502. PubMed ID: 17523817
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Estimating Free Energy Barriers for Heterogeneous Catalytic Reactions with Machine Learning Potentials and Umbrella Integration.
    Stocker S; Jung H; Csányi G; Goldsmith CF; Reuter K; Margraf JT
    J Chem Theory Comput; 2023 Oct; 19(19):6796-6804. PubMed ID: 37747812
    [TBL] [Abstract][Full Text] [Related]  

  • 15. High-pressure phase behaviors of titanium dioxide revealed by a Δ-learning potential.
    Lee JG; Pickard CJ; Cheng B
    J Chem Phys; 2022 Feb; 156(7):074106. PubMed ID: 35183078
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Solid-liquid density and spin crossovers in (Mg, Fe)O system at deep mantle conditions.
    Ghosh DB; Karki BB
    Sci Rep; 2016 Nov; 6():37269. PubMed ID: 27872491
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep neural network based quantum simulations and quasichemical theory for accurate modeling of molten salt thermodynamics.
    Shi Y; Lam ST; Beck TL
    Chem Sci; 2022 Jul; 13(28):8265-8273. PubMed ID: 35919729
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Machine learning interatomic potentials for aluminium: application to solidification phenomena.
    Jakse N; Sandberg J; Granz LF; Saliou A; Jarry P; Devijver E; Voigtmann T; Horbach J; Meyer A
    J Phys Condens Matter; 2022 Nov; 51(3):. PubMed ID: 36301702
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Shock compression response of forsterite above 250 GPa.
    Sekine T; Ozaki N; Miyanishi K; Asaumi Y; Kimura T; Albertazzi B; Sato Y; Sakawa Y; Sano T; Sugita S; Matsui T; Kodama R
    Sci Adv; 2016 Aug; 2(8):e1600157. PubMed ID: 27493993
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Machine learning-based modeling of high-pressure phase diagrams: Anomalous melting of Rb.
    Oren E; Kartoon D; Makov G
    J Chem Phys; 2022 Jul; 157(1):014502. PubMed ID: 35803824
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.