BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

140 related articles for article (PubMed ID: 37048928)

  • 1. Accelerating Density Functional Calculation of Adatom Adsorption on Graphene via Machine Learning.
    Qu N; Chen M; Liao M; Cheng Y; Lai Z; Zhou F; Zhu J; Liu Y; Zhang L
    Materials (Basel); 2023 Mar; 16(7):. PubMed ID: 37048928
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Study of the Adsorption Properties of Individual Atoms on the Graphene Surface: Density Functional Theory Calculations Assisted by Machine Learning Techniques.
    Huang J; Chen M; Xue J; Li M; Cheng Y; Lai Z; Hu J; Zhou F; Qu N; Liu Y; Zhu J
    Materials (Basel); 2024 Mar; 17(6):. PubMed ID: 38541582
    [TBL] [Abstract][Full Text] [Related]  

  • 3. First-principles, machine learning and symbolic regression modelling for organic molecule adsorption on two-dimensional CaO surface.
    Hu W; Zhang L
    J Mol Graph Model; 2023 Nov; 124():108530. PubMed ID: 37321063
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Density functional calculation of transition metal adatom adsorption on graphene.
    Mao Y; Yuan J; Zhong J
    J Phys Condens Matter; 2008 Mar; 20(11):115209. PubMed ID: 21694226
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Insight into the Electronic Properties of Semiconductor Heterostructure Based on Machine Learning and First-Principles.
    Yuan Y; Ren J; Xue H; Li J; Tang F; La P; Lu X
    ACS Appl Mater Interfaces; 2023 Mar; 15(9):12462-12472. PubMed ID: 36827435
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comprehensive Study of Lithium Adsorption and Diffusion on Janus Mo/WXY (X, Y = S, Se, Te) Using First-Principles and Machine Learning Approaches.
    Chaney G; Ibrahim A; Ersan F; Çakır D; Ataca C
    ACS Appl Mater Interfaces; 2021 Aug; 13(30):36388-36406. PubMed ID: 34304560
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A DFT investigation of lithium adsorption on graphenes as a potential anode material in lithium-ion batteries.
    De Souza LA; Monteiro de Castro G; Marques LF; Belchior JC
    J Mol Graph Model; 2021 Nov; 108():107998. PubMed ID: 34371459
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Theoretical elucidation of the amino acid interaction with graphene and functionalized graphene nanosheets: insights from DFT calculation and MD simulation.
    Kamel M; Raissi H; Hashemzadeh H; Mohammadifard K
    Amino Acids; 2020 Oct; 52(10):1465-1478. PubMed ID: 33098474
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Computational DFT study of magnetite/graphene oxide nanoadsorbent: Interfacial chemical behavior and remediation performance of heavy metal hydrates from aqueous system.
    El-Fawal EM; Saad L; Moustafa YM
    Water Environ Res; 2020 Sep; 92(9):1293-1305. PubMed ID: 32159903
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Thermodynamics and kinetics of an oxygen adatom on pristine and functionalized graphene: insight gained into their anticorrosion properties.
    Li Q; Zheng S; Pu J; Sun J; Huang LF; Wang L; Xue Q
    Phys Chem Chem Phys; 2019 Jun; 21(23):12121-12129. PubMed ID: 30950468
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Origin of the moiré superlattice scale lateral force modulation of graphene on a transition metal substrate.
    Gao L; Chen X; Ma Y; Yan Y; Ma T; Su Y; Qiao L
    Nanoscale; 2018 Jun; 10(22):10576-10583. PubMed ID: 29808195
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Geometric stability, electronic structure, and intercalation mechanism of Co adatom anchors on graphene sheets.
    Tang Y; Chen W; Li C; Li W; Dai X
    J Phys Condens Matter; 2015 Jul; 27(25):255009. PubMed ID: 26057893
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Recent advances in density functional theory approach for optoelectronics properties of graphene.
    Olatomiwa AL; Adam T; Edet CO; Adewale AA; Chik A; Mohammed M; Gopinath SCB; Hashim U
    Heliyon; 2023 Mar; 9(3):e14279. PubMed ID: 36950613
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Metal (Li, Al, Ca and Ti) absorbed graphene with defects for hydrogen storage: first-principles calculations.
    Park HL; Chung YC
    J Nanosci Nanotechnol; 2011 Dec; 11(12):10624-8. PubMed ID: 22408961
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Band gap and magnetic engineering of penta-graphene
    Chen J; Cui H; Wang P; Zheng Y; Wang D; Chen H; Yuan H
    Phys Chem Chem Phys; 2020 Nov; 22(45):26155-26166. PubMed ID: 33185209
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multiscale Simulation of the Interaction and Adsorption of Ions on a Hydrophobic Graphene Surface.
    Chen L; Guo Y; Xu Z; Yang X
    Chemphyschem; 2018 Nov; 19(21):2954-2960. PubMed ID: 30142233
    [TBL] [Abstract][Full Text] [Related]  

  • 17. DFT calculations of the synergistic effect of λ-MnO
    Zhang H; Du X; Ding S; Wang Q; Chang L; Ma X; Hao X; Pen C
    Phys Chem Chem Phys; 2019 Apr; 21(15):8133-8140. PubMed ID: 30932117
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Machine Learning for Shape Memory Graphene Nanoribbons and Applications in Biomedical Engineering.
    León C; Melnik R
    Bioengineering (Basel); 2022 Feb; 9(3):. PubMed ID: 35324779
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Adsorption Characteristics of Gas Molecules Adsorbed on Graphene Doped with Mn: A First Principle Study.
    Xie T; Wang P; Tian C; Zhao G; Jia J; He C; Zhao C; Wu H
    Molecules; 2022 Apr; 27(7):. PubMed ID: 35408715
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Machine learned features from density of states for accurate adsorption energy prediction.
    Fung V; Hu G; Ganesh P; Sumpter BG
    Nat Commun; 2021 Jan; 12(1):88. PubMed ID: 33398014
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.