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Machine Learning in Materials Science

120 ta ish

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

    Sabir Z. Sharipov

    MaqolaMachine Learning in Materials ScienceZenodo (CERN European Organization for Nuclear Research)20260 iqtibos
    ABI

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

    Sabir Z. Sharipov

    MaqolaMachine Learning in Materials ScienceZenodo (CERN European Organization for Nuclear Research)20260 iqtibos
    ABI

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

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

    MaqolaQuantum Computing Algorithms and Architecture20260 iqtibos
    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

    MaqolaPerovskite Materials and ApplicationsRSC Advances20260 iqtibos
    ABI

  5. La Creazione di un Setaccio Semantico

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    MaqolaGeochemistry and Geologic MappingZenodo (CERN European Organization for Nuclear Research)20260 iqtibos
    ABI

  6. La Creazione di un Setaccio Semantico

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    MaqolaGeochemistry and Geologic MappingZenodo (CERN European Organization for Nuclear Research)20260 iqtibos
    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

    MaqolaWelding Techniques and Residual StressesReview of Materials Research20260 iqtibos
    ABI

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

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    MaqolaSpectroscopy Techniques in Biomedical and Chemical ResearchZenodo (CERN European Organization for Nuclear Research)20260 iqtibos
    ABI

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

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    MaqolaSpectroscopy Techniques in Biomedical and Chemical ResearchZenodo (CERN European Organization for Nuclear Research)20260 iqtibos
    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

    MaqolaMachine Learning in Materials ScienceUzbekistan Journal of Polymers20260 iqtibos
    ABI

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

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    MaqolaMineral Processing and GrindingZenodo (CERN European Organization for Nuclear Research)20260 iqtibos
    ABI

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

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    MaqolaMineral Processing and GrindingZenodo (CERN European Organization for Nuclear Research)20260 iqtibos
    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

    MaqolaHeusler alloys: electronic and magnetic propertiesThe Journal of Physical Chemistry C20260 iqtibos
    ABI

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

    Adham Norkobilov, Azizbek Kamolov, Zafar Turakulov +9

    MaqolaCatalysts for Methane ReformingJournal of King Saud University - Engineering Sciences20260 iqtibos
    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)

    MaqolaCold Fusion and Nuclear ReactionsZenodo (CERN European Organization for Nuclear Research)20260 iqtibos
    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)

    MaqolaCold Fusion and Nuclear ReactionsZenodo (CERN European Organization for Nuclear Research)20260 iqtibos
    ABI

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

    Shouluan Gao

    MaqolaMachine Learning in Materials ScienceZenodo (CERN European Organization for Nuclear Research)20260 iqtibos
    ABI

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

    Shouluan Gao

    MaqolaMachine Learning in Materials ScienceZenodo (CERN European Organization for Nuclear Research)20260 iqtibos
    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

    PreprintExplainable Artificial Intelligence (XAI)Zenodo (CERN European Organization for Nuclear Research)20260 iqtibos
    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

    PreprintExplainable Artificial Intelligence (XAI)Zenodo (CERN European Organization for Nuclear Research)20260 iqtibos
    ABI