Latest Research in Machine Learning in Materials Science

Top Research Topics in Machine Learning in Materials Science

• Materials Science — 24 papers
• Machine Learning in Materials Science — 19 papers
• High-pressure geophysics and materials — 8 papers
• Glass properties and applications — 8 papers
• Quasicrystal Structures and Properties — 7 papers
• Electromagnetic wave absorption materials — 7 papers
• Advanced Electron Microscopy Techniques and Applications — 6 papers
• Radiation Shielding Materials Analysis — 5 papers
• Microwave Dielectric Ceramics Synthesis — 5 papers
• Magnetic Properties of Alloys — 4 papers

Highest-Cited Papers

1. Machine learning interatomic potentials for solid-state precipitation (1 citations)
2. Phase Direction after Unfolding and the Emergence of Discrete Charge Ratios
3. The Metric Trace_ A Metrological Framework for Resolving LENR Irreproducibility
4. Machine Learning-Guided Multi-Objective Design of Holmium-Reduced Rare-Earth Permanent Magnets
5. Structural Force of Elements in the Vacuum — Unified model: Constant across all 118 elements
6. Synthesis and shielding assessment of polymer composite of PVC/Bi2O3/WO3 against photons using GEANT4 and MCNP Monte Carlo nuclear codes
7. Buckling of carbon nanotubes using molecular dynamics simulation: Investigating the effect of boron doping by considering the interaction energy
8. Structural Force of Elements in the Vacuum — Unified model: Constant across all 118 elements
9. THE VANGUARD FRAMEWORK Algorithmic Symbiosis and the End of Carbon-Based Homeostasis The Microbiome Civil War, Cyber-Biological Frustration, and the Arrival of Synthetic Harmony
10. Phase Direction after Unfolding and the Emergence of Discrete Charge Ratios
11. Illuminating the Lifecycle of Functional Materials Through Multimodal Synchrotron X-Ray Characterization: From Synthesis to Operation and Degradation
12. Composition-Only Machine-Learning Benchmark for Three Dielectric Properties of Single-Phase ULTCC Ceramics
13. AI-enabled CVD synthesis, quality control, and autonomous manufacturing of 2D materials
14. Process-window and morphology prediction in laser-induced forward transfer of high-viscosity silver paste
15. Thermo-magnetic characterization and fully coupled finite element modeling of tailored magnetostrictive (Tb 0.3 Dy 0.7 Fe 1.95 ) particulate composites
16. A Machine-Learning Based Approach to the Evaluation of the Critical Scaling Behavior of Anisotropic Spin Systems
17. Field-Driven Coupled Magnon--Phonon--Electron Relaxation in Magnetite Using Steepest-Entropy-Ascent Quantum Thermodynamic Formalism
18. Towards a quantitative description of nanostructured order in amorphous diamond-like carbon
19. Thermal Expansion Behavior of Ultrahigh-Entropy A2B2O7 Ceramics
20. Golden Ratio Quasicrystals: Bragg Peaks Indexed by Z[φ] — E8 Intelligence Research