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Machine Learning in Materials Science

Работ: 120

  1. Data Science Optimization Frameworks for Computationally Efficient Scientific Simulation: A Cross-Domain Narrative Review

    Sabir Z. Sharipov

    СтатьяMachine Learning in Materials ScienceZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  2. Data Science Optimization Frameworks for Computationally Efficient Scientific Simulation: A Cross-Domain Narrative Review

    Sabir Z. Sharipov

    СтатьяMachine Learning in Materials ScienceZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  3. Systematic analysis and modeling for sustainable development using quantum-classical computing technologies

    D. T. Muhamediyeva, M. H. Raupova, F. A. Tagaev

    СтатьяQuantum Computing Algorithms and Architecture2026Цитирований: 0
    ABI

  4. First-principles investigation and device simulation of TlPbI <sub>3</sub> -based perovskite solar cells with machine learning-driven efficiency prediction

    Md. Harun-Or-Rashid, Hanane Etabti, Md. Tauki Tazwar +8

    СтатьяPerovskite Materials and ApplicationsRSC Advances2026Цитирований: 0
    ABI

  5. La Creazione di un Setaccio Semantico

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    СтатьяGeochemistry and Geologic MappingZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  6. La Creazione di un Setaccio Semantico

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    СтатьяGeochemistry and Geologic MappingZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  7. Machine-learning-driven optimization of CMT welding for joint–base-metal property equivalence in thin 5052 aluminum alloy sheets

    Zhenghao Wang, Dexin Zhu, Zhiyuan Cheng +9

    СтатьяWelding Techniques and Residual StressesReview of Materials Research2026Цитирований: 0
    ABI

  8. Disentanglement dello Spettro Raman del Gesso tramite beta-VAE

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    СтатьяSpectroscopy Techniques in Biomedical and Chemical ResearchZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  9. Disentanglement dello Spettro Raman del Gesso tramite beta-VAE

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    СтатьяSpectroscopy Techniques in Biomedical and Chemical ResearchZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  10. MACHINE LEARNING AND AI IN POLYMER SCIENCE: A REVIEW OF PROGRESS, CHALLENGES, AND FUTURE DIRECTIONS

    Ilnar Nurgaliev, M. B. Marasulov, AKBARXON HAMZAYEV +1

    СтатьяMachine Learning in Materials ScienceUzbekistan Journal of Polymers2026Цитирований: 0
    ABI

  11. Decomposizione Semantica e Disentanglement nella Visione Artificiale tramite beta-VAE autoencoder

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    СтатьяMineral Processing and GrindingZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  12. Decomposizione Semantica e Disentanglement nella Visione Artificiale tramite beta-VAE autoencoder

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    СтатьяMineral Processing and GrindingZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  13. A Multipurpose Study of BaZrS <sub>3</sub> and BaHfS <sub>3</sub> : Absolute Entropies, Thermal Decomposition, and Prediction of Intrinsic and Extrinsic Thermodynamic Stability

    Alexis Gibson, Andrea Ciccioli, Natalie Parkinson +9

    СтатьяHeusler alloys: electronic and magnetic propertiesThe Journal of Physical Chemistry C2026Цитирований: 0
    ABI

  14. Interpretable machine learning analysis of catalyst and reaction parameters governing CO₂ hydrogenation to light hydrocarbons

    Adham Norkobilov, Azizbek Kamolov, Zafar Turakulov +9

    СтатьяCatalysts for Methane ReformingJournal of King Saud University - Engineering Sciences2026Цитирований: 0
    ABI

  15. Analisi Computazionale dell'Atto III dell'Otello di Shakespeare mediante Autoencoder Conv-1D e Modelli di Risposta Entropica in una "Spettroscopia Retorica Digitale" - Computational Analysis of Act III of Shakespeare's Othello Using Conv-1D Autoencoders and Entropic Response Models within a "Digital Rhetorical Spectroscopy"

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    СтатьяCold Fusion and Nuclear ReactionsZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  16. Analisi Computazionale dell'Atto III dell'Otello di Shakespeare mediante Autoencoder Conv-1D e Modelli di Risposta Entropica in una "Spettroscopia Retorica Digitale" - Computational Analysis of Act III of Shakespeare's Othello Using Conv-1D Autoencoders and Entropic Response Models within a "Digital Rhetorical Spectroscopy"

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    СтатьяCold Fusion and Nuclear ReactionsZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  17. Artificial-Intelligence-Driven Design and Digital Execution of Chemical Reactions: A Review of Modern Software Platforms and Autonomous Workflows

    Shouluan Gao

    СтатьяMachine Learning in Materials ScienceZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  18. Artificial-Intelligence-Driven Design and Digital Execution of Chemical Reactions: A Review of Modern Software Platforms and Autonomous Workflows

    Shouluan Gao

    СтатьяMachine Learning in Materials ScienceZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  19. Structurally Native Explainability and Cryptographic Transparency in the BLOOM Distributed Neuro-Symbolic Architecture: The First AI System with Auditable Pattern Provenance by Design

    Babatope Afolabi

    ПрепринтExplainable Artificial Intelligence (XAI)Zenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  20. Structurally Native Explainability and Cryptographic Transparency in the BLOOM Distributed Neuro-Symbolic Architecture: The First AI System with Auditable Pattern Provenance by Design

    Babatope Afolabi

    ПрепринтExplainable Artificial Intelligence (XAI)Zenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI