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Machine Learning in Materials Science

Работ: 120

  1. Model of high-T c superconductivity in low-coordination semiconductors and polymers

    B. P. Popov, K. D. Tséndin

    СтатьяPhase-change materials and chalcogenidesTechnical Physics Letters1998Цитирований: 0
    ABI

  2. Neutron-diffraction analysis of titanium carbide fibers and microtubes formed by self-propagating high temperature synthesis reaction

    Yong Choi, Myung-Whan Hwang, J.S. Lee +1

    Статьяnanoparticles nucleation surface interactionsApplied Physics A2002Цитирований: 0
    ABI

  3. Studies around A similar to 100 using binary reactions

    P. H. Regan, A. Yamamoto, Changlong Wu +18

    СтатьяOrigins and Evolution of LifeResearch Explorer (The University of Manchester)2003Цитирований: 0
    ABI

  4. Qspr Modeling Organic Compounds Gibb's Free Energy by Weighting of Nearest Neighboring Codes

    Eduardo A. Castro, Alla P. Toropova, Andrey A. Toropov +1

    СтатьяComputational Drug Discovery MethodsSSRN Electronic Journal2003Цитирований: 0
    ABI

  5. QSPR modeling of the flory-huggins parameter in terms of polymer "nanosegments"

    I. N. Ruban, Andrey A. Toropov, И. Н. Нургалиев +2

    СтатьяMachine Learning in Materials SciencePolymer Science Series B2005Цитирований: 0
    ABI

  6. QSPR MODELING OF METAL HALIDES LATTICE ENTHALPIES

    Eduardo A. Castro, Alla P. Toropova, Andrey A. Toropov +1

    СтатьяComputational Drug Discovery MethodsAnales De La Asociacion Quimica Argentina2006Цитирований: 0
    ABI

  7. Monte Carlo simulation in the reaction rate's calculation with neutron-activation method

    Wang Dalun

    СтатьяNuclear Physics and ApplicationsChinese Journal of Nuclear Science and Engineering2007Цитирований: 0
    ABI

  8. QSAR-modeling of toxicity of organometallic compounds by means of the balance of correlations for InChI-based optimal descriptors

    Andrey A. Toropov, Alla P. Toropova, Emilio Benfenati

    СтатьяComputational Drug Discovery MethodsMolecular Diversity2009Цитирований: 0
    ABI

  9. QSAR modelling of the toxicity to Tetrahymena pyriformis by balance of correlations

    Andrey A. Toropov, Alla P. Toropova, Emilio Benfenati +1

    СтатьяComputational Drug Discovery MethodsMolecular Diversity2009Цитирований: 0
    ABI

  10. InChI-based optimal descriptors: QSAR analysis of fullerene[C60]-based HIV-1 PR inhibitors by correlation balance

    Andrey A. Toropov, Alla P. Toropova, Emilio Benfenati +2

    СтатьяComputational Drug Discovery MethodsEuropean Journal of Medicinal Chemistry2010Цитирований: 0
    ABI

  11. Activation Energy Calculations for Formamide–TiO2 and Formamide–Pt Interactions in the Presence of Water

    Ermuhammad Dushanov, Kholmirzo Kholmurodov, Kenji Yasuoka

    СтатьяMolecular Junctions and NanostructuresThe Open Biochemistry Journal2013Цитирований: 0
    ABI

  12. Sensitivity Analysis for a PEM Fuel Cell Model aimed to Optimization

    Enrico Testa, Paolo Maggiore, Lorenzo Pace +1

    СтатьяFuel Cells and Related MaterialsPORTO Publications Open Repository TOrino (Politecnico di Torino)2015Цитирований: 0
    ABI

  13. Neutron diffraction study of dehydrogenation of titanium carbohydrides TiC x H y

    I. Khidirov

    СтатьяX-ray Diffraction in CrystallographyRussian Journal of Inorganic Chemistry2017Цитирований: 0
    ABI

  14. Predicting the activity and properties of chemicals based on RoBERTa

    Davronov Rifqat Rahimovich, Safarov Ro'zmat Abdiqayum O'g'li, Abdumalikov Shoxrux Qaxramon O'g'li

    СтатьяComputational Drug Discovery Methods2021 International Conference on Information Science and Communications Technologies (ICISCT)2021Цитирований: 0
    ABI

  15. Application of transformer model architecture in the new drugs design

    Davronov Rifqat Rahimovich, Abdumalikov Shoxrux Qaxramon O'g'li, Safarov Ro'zmat Abdiqayum O'g'li

    СтатьяComputational Drug Discovery Methods2021 International Conference on Information Science and Communications Technologies (ICISCT)2021Цитирований: 0
    ABI

  16. Generative Pre-Training from Molecules

    Sanjar Adilov

    ПрепринтMachine Learning in Materials ScienceChemRxiv2021Цитирований: 0
    ABI

  17. Generative Pre-Training from Molecules

    Sanjar Adilov

    ПрепринтMachine Learning in Materials Science2021Цитирований: 0
    ABI

  18. (Digital Presentation) Highly Efficient and Selective CO<sub>2</sub> Electroreduction to CO on Novel Metal-Nitrogen-Carbon (M-N-C) Catalyst

    Laurent Delafontaine, Alessio Cosenza, Eamonn Murphy +4

    СтатьяCO2 Reduction Techniques and CatalystsECS Meeting Abstracts2022Цитирований: 0
    ABI

  19. Main concepts and applications of DFTB approach

    Elyor Berdimurodov, Lei Guo, Abduvali Kholikov +2

    ГлаваAdvanced Chemical Physics StudiesElsevier eBooks2023Цитирований: 0
    ABI

  20. Structure to Property: Machine Learning Methods for Predicting Electronic Properties of Crystals

    Shokirbek Shermukhamedov, Dilorom Mamurjonova, Thana Maihom +1

    ПрепринтMachine Learning in Materials ScienceChemRxiv2023Цитирований: 0
    ABI

  21. Integrating high-performance computing, machine learning, data management workflows, and infrastructures for multiscale simulations and nanomaterials technologies

    Fabio Le Piane, Mario Vozza, Matteo Baldoni +1

    СтатьяMachine Learning in Materials ScienceBeilstein Journal of Nanotechnology2024Цитирований: 0
    ABI

  22. Enhancing Energy Efficiency and Classification Modeling Through a Combined Approach of LightGBM and Stratified KFold Cross-Validation

    Sushma Kakkar, A. Lakshmi, Anand Deva Durai C +6

    СтатьяMachine Learning in Materials ScienceElectric Power Components and Systems2024Цитирований: 0
    ABI

  23. GrapheNet: a deep learning framework for predicting the physical and electronic properties of nanographenes using images

    Tommaso Forni, Matteo Baldoni, Fabio Le Piane +1

    СтатьяMachine Learning in Materials ScienceScientific Reports2024Цитирований: 0
    ABI

  24. Theory of size quantization in monolayers of transition metal dichalcogenides

    Voxob Rustamovich Rasulov, Rustam Yavkachovich Rasulov, Mardonbek Kh. Nasirov +2

    Статья2D Materials and ApplicationsPhysica Scripta2024Цитирований: 0
    ABI

  25. Identification of biological markers in cancer disease using explainable artificial intelligence

    Muhammad Shahzad, Ruhal Lohana, Khursheed Aurangzeb +5

    СтатьяComputational Drug Discovery MethodsInternational Journal of Imaging Systems and Technology2024Цитирований: 0
    ABI