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Machine Learning in Materials Science

Работ: 120

  1. Explainable AI in computational optics: interpreting material property relationships

    Dilafruz Kenjabayeva, Abdisalim Kenjaboyev, Zebo Salimova +3

    СтатьяMachine Learning in Materials Science2025Цитирований: 0
    ABI

  2. AI-accelerated discovery of transparent conducting oxides for UV-visible applications

    Nozimakhon Imomova, Lola Akramova, Bakhrom Tukhtarov

    СтатьяMachine Learning in Materials Science2025Цитирований: 0
    ABI

  3. Bayesian optimization of optical materials with tunable bandgaps

    Gulru Turgunova, Dildora Nuraliyeva

    СтатьяMachine Learning in Materials Science2025Цитирований: 0
    ABI

  4. Quantum-inspired AI models for high-precision spectral property prediction

    Abdulboriy Khabibullaev

    СтатьяMachine Learning in Materials Science2025Цитирований: 0
    ABI

  5. La Fisica che ha Originato l'IA: Dagli Spin Glass alle Reti Neurali

    Gemini (Modello Linguistico di Google), Amelia Carolina Sparavigna

    СтатьяComplex Systems and Time Series AnalysisZenodo (CERN European Organization for Nuclear Research)2025Цитирований: 0
    ABI

  6. La Fisica che ha Originato l'IA: Dagli Spin Glass alle Reti Neurali

    Gemini (Modello Linguistico di Google), Amelia Carolina Sparavigna

    СтатьяComplex Systems and Time Series AnalysisZenodo (CERN European Organization for Nuclear Research)2025Цитирований: 0
    ABI

  7. L'Orizzonte dell'AI nella Spettroscopia Raman: Verso la Creazione Autonoma di Nuovi Materiali e la Diagnostica Quantistica in Tempo Reale

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    СтатьяMachine Learning in Materials ScienceZenodo (CERN European Organization for Nuclear Research)2025Цитирований: 0
    ABI

  8. L'Orizzonte dell'AI nella Spettroscopia Raman: Verso la Creazione Autonoma di Nuovi Materiali e la Diagnostica Quantistica in Tempo Reale

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    СтатьяMachine Learning in Materials ScienceZenodo (CERN European Organization for Nuclear Research)2025Цитирований: 0
    ABI

  9. Dalla Supremazia all'Utilità: L'Evoluzione della Logistica Quantistica e la Convergenza con l'Intelligenza Artificiale (2022-2025)

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    СтатьяMachine Learning in Materials ScienceZenodo (CERN European Organization for Nuclear Research)2025Цитирований: 0
    ABI

  10. Dalla Supremazia all'Utilità: L'Evoluzione della Logistica Quantistica e la Convergenza con l'Intelligenza Artificiale (2022-2025)

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    СтатьяMachine Learning in Materials ScienceZenodo (CERN European Organization for Nuclear Research)2025Цитирований: 0
    ABI

  11. Machine learning approaches for estimating formation enthalpies in energetic materials

    Jianfeng Li, Farag M. A. Altalbawy, Hardik Doshi +8

    СтатьяMachine Learning in Materials ScienceJournal of Energetic Materials2025Цитирований: 0
    ABI

  12. Wafer Scale Engine as a Catalyst for LLM Evolution: Investigating Architectural Advantages and Practical Limitations of Specialized Computing Systems

    Said Gulyamov

    СтатьяMachine Learning in Materials Science2025Цитирований: 0
    ABI

  13. Semantic Embedding Models for Technical Documentation Analysis in Battery Management Systems Education

    Gulbaxor Mamurjonova, Kamoldin Karimov, Azizbek Kenjayeva +3

    СтатьяAdvanced Battery Technologies Research2025Цитирований: 0
    ABI

  14. Molecular Mechanisms of Thiourea in FAPbI3 Perovskites: Phase Stabilization and Defect Passivation

    I. N. Nurgaliev, M. B. Marasulov, Z. N. Zhulliev +2

    СтатьяPerovskite Materials and ApplicationsJournal of Structural Chemistry2025Цитирований: 0
    ABI

  15. Modeling Advanced Electronic Device Characterization Using a Unified Physics-Informed Machine Learning Framework

    Elsayed Ebrahim E., Hayal Mohammed R, Juraev Davron Aslonqulovich +1

    СтатьяAdvancements in Semiconductor Devices and Circuit Design2025Цитирований: 0
    ABI

  16. Quantum Tensor Network Neural Architecture: Exploiting Partially Symmetric Tensors in Quantum-Limited Neural Networks

    M.Ponkanagavalli M. Ponkanagavalli, P. Jeba Santhiya, Christo Ananth +3

    СтатьяQuantum Computing Algorithms and Architecture2025Цитирований: 0
    ABI

  17. Deep Learning-Based Discovery of Sustainable Construction Materials for Enhanced Performance and Environmental Impact Reduction

    Gaurav Tamrakar, N.Kalyana Sundaram, Hassan Mohamed +4

    СтатьяMachine Learning in Materials Science2025Цитирований: 0
    ABI

  18. Solubility of Glibenclamide in supercritical solvent versus pressure and temperature via development of machine learning and rain optimization algorithm

    Hadil Faris Alotaibi, Chou-Yi Hsu, Fadhil Faez Sead +7

    СтатьяPhase Equilibria and ThermodynamicsScientific Reports2026Цитирований: 0
    ABI

  19. Artificial Intelligence‐Enabled Analytical Technologies for Chemical Engineering

    Sonia Jenifer Rayen, Ravikumar Jayabal, Pradeep Kumar Singh +6

    СтатьяMachine Learning in Materials ScienceChemical Engineering & Technology2026Цитирований: 0
    ABI

  20. Development of hybrid smart models to accurately model nano-polyethylene glycol composite viscosity

    Tianxiang Li, Ayat Hussein Adhab, Vicky Jain +11

    СтатьяPolymer Nanocomposites and PropertiesChemical Papers2026Цитирований: 0
    ABI

  21. Predicting the Storage Modulus of Chromium‐Crosslinked Polymer Gels Through Advanced Machine Learning Techniques

    Farag M. A. Altalbawy, Raed H. C. Alfilh, Tarak Vora +8

    СтатьяMachine Learning in Materials SciencePolymers for Advanced Technologies2026Цитирований: 0
    ABI

  22. Estimating solubility of nitrogen in various ionic liquids: application of machine-learning

    Kassem Al Attabi, Farzona Alimova, Anupam Yadav +7

    СтатьяIonic liquids properties and applicationsChemical Papers2026Цитирований: 0
    ABI

  23. Dall'Incapsulazione Minerale alla Genesi della Vita: Un'Analisi Integrata tra Archaea, Clatrati di Metano e Intelligenza Artificiale

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    СтатьяOrigins and Evolution of LifeOpen MIND2026Цитирований: 0
    ABI

  24. Dall'Incapsulazione Minerale alla Genesi della Vita: Un'Analisi Integrata tra Archaea, Clatrati di Metano e Intelligenza Artificiale

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    СтатьяOrigins and Evolution of LifeZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  25. Accelerating single-atom ORR catalyst discovery through theory and machine learning: a critical review

    Anuj Kumar, Parth Bishnoi, Akshay Parmar +3

    СтатьяElectrocatalysts for Energy ConversionCoordination Chemistry Reviews2026Цитирований: 0
    ABI