Асосий контентга ўтиш
AkademIndex

Маҳсулотлар

Ишлаб чиқувчилар учун

AkademBaseЭкотизим учун очиқ API
← Ишга қайтиш

Ушбу иш иқтибос қилган ишлар

125 та иш

Иш: Data-driven discovery of novel synthesizable MAX phase materials

  1. Pressure-Induced Stabilization and Insulator-Superconductor Transition of BH

    Chaohao Hu, Artem R. Oganov, Qiang Zhu +4

    Мақола20133 иқтибос
    ABI

  2. Evolutionary method for predicting surface reconstructions with variable stoichiometry

    Qiang Zhu, Li Li, Artem R. Oganov +1

    Мақола20133 иқтибос
    ABI

  3. USPEX—Evolutionary crystal structure prediction

    Colin W. Glass, Artem R. Oganov, Nikolaus Hansen

    Мақола20063 иқтибос
    ABI

  4. Machine-learning-assisted materials discovery using failed experiments

    Paul Raccuglia, Katherine C. Elbert, Philip Adler +7

    Мақола20163 иқтибос
    ABI

  5. The thermodynamic scale of inorganic crystalline metastability

    Wenhao Sun, Stephen Dacek, Shyue Ping Ong +6

    Мақола20163 иқтибос
    ABI

  6. Thermodynamic limit for synthesis of metastable inorganic materials

    Muratahan Aykol, Shyam Dwaraknath, Wenhao Sun +1

    Мақола20183 иқтибос
    ABI

  7. Machine-learning interatomic potentials enable first-principles multiscale modeling of lattice thermal conductivity in graphene/borophene heterostructures

    Bohayra Mortazavi, Evgeny V. Podryabinkin, Stephan Roche +3

    Мақола20203 иқтибос
    ABI

  8. Machine-learning interatomic potentials enable first-principles multiscale modeling of lattice thermal conductivity in graphene/borophene heterostructures

    Mortazavi, Bohayra, Podryabinkin, Evgeny V., Roche, Stephan +3

    Мақола20203 иқтибос
    ABI

  9. Predicting the Electronic and Structural Properties of Two-Dimensional Materials Using Machine Learning

    Ehsan Alibagheri, Bohayra Mortazavi, Timon Rabczuk

    Мақола20213 иқтибос
    ABI

  10. Novel two-dimensional boron oxynitride predicted using the USPEX evolutionary algorithm

    Захар И. Попов, Kseniya A. Tikhomirova, V. A. Demin +4

    Мақола20213 иқтибос
    ABI

  11. Remarkable Optoelectronic Characteristics of Synthesizable Square‐Octagon Haeckelite Structures: Machine Learning Materials Discovery

    Ehsan Alibagheri, Ahmad Ranjbar, Mohammad Khazaei +2

    Мақола20243 иқтибос
    ABI

  12. Beyond metals: theoretical discovery of semiconducting MAX phases and their potential application in thermoelectrics

    Mohammad Khazaei, Iraj Maleki, Namitha Anna Koshi +11

    МақолаMXene and MAX Phase MaterialsPhysical Chemistry Chemical Physics20242 иқтибос
    ABI

  13. <scp>LAX</scp> phases: A family of novel stable layered materials, informatics‐based discovery

    Ehsan Alibagheri, Mohammad Khazaei, Mehdi Estili +5

    МақолаMXene and MAX Phase MaterialsInfoMat20252 иқтибос
    ABI

  14. Prediction of MAX phases, VN+1SiCN (N=1,2), from first-principles theory

    Chun Fang, Rajeev Ahuja, Olle Eriksson

    Мақола20072 иқтибос
    ABI

  15. Trends in electronic structures and structural properties of MAX phases: a first-principles study on M<sub>2</sub>AlC (M = Sc, Ti, Cr, Zr, Nb, Mo, Hf, or Ta), M<sub>2</sub>AlN, and hypothetical M<sub>2</sub>AlB phases

    Mohammad Khazaei, M. Arai, Taizo Sasaki +2

    Мақола20142 иқтибос
    ABI

  16. Accelerating materials property predictions using machine learning

    Ghanshyam Pilania, Chenchen Wang, Xun Jiang +2

    Мақола20132 иқтибос
    ABI

  17. First‐Principles Determination of Multicomponent Hydride Phase Diagrams: Application to the Li‐Mg‐N‐H System

    Alireza Akbarzadeh, Vidvuds Ozoliņš, Chris Wolverton

    Мақола20072 иқтибос
    ABI

  18. Prediction of Synthesis of 2D Metal Carbides and Nitrides (MXenes) and Their Precursors with Positive and Unlabeled Machine Learning

    Nathan C. Frey, Jin Wang, Gabriel Iván Vega Bellido +3

    Мақола20192 иқтибос
    ABI

  19. In- and Out-of-Plane Ordered MAX Phases and Their MXene Derivatives

    Johanna Rosén, Martin Dahlqvist, Quanzheng Tao +1

    Боб20192 иқтибос
    ABI

  20. The role of Hume-Rothery's rules play in the MAX phases formability

    Yiming Zhang, Zeyu Mao, Qi Han +5

    Мақола20202 иқтибос
    ABI

  21. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI

  22. Machine learning for high performance organic solar cells: current scenario and future prospects

    Asif Mahmood, Jin‐Liang Wang

    Мақола20202 иқтибос
    ABI

  23. Machine Learning: An Advanced Platform for Materials Development and State Prediction in Lithium‐Ion Batteries

    Chade Lv, Xin Zhou, Lixiang Zhong +8

    Шарҳ мақола20212 иқтибос
    ABI

  24. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI

  25. Maximizing the mechanical performance of Ti3AlC2-based MAX phases with aid of machine learning

    Xingjun Duan, Zhi Fang, Tao Yang +5

    Мақола20222 иқтибос
    ABI