This study employs a nanochain engineering approach combined with an in situ oxidation strategy to fabricate self‐insulating iron‐based magnetic nanochains, addressing the challenge of balancing magnetic coupling and electrical insulation in soft magnetic materials.
Dingrong Zuo +8 more
wiley +1 more source
Microscopic Mechanisms of Solute Distribution Patterns Dominating Defect Evolution and Strengthening-Toughening in Iron-Based Solid Solutions. [PDF]
Dang N +6 more
europepmc +1 more source
Perspective: Hollow Core Optical Fibres for Ultraviolet and Visible Wavelengths
Hollow core optical fibres bypass material constraints that limit optical fibres at ultraviolet and visible wavelengths. However, their challenging fabrication has limited their development, and significant gains in performance remain possible. In this perspective we outline approaches to enable the next generation of fibres for shorter wavelengths ...
Robbie Mears +5 more
wiley +1 more source
Analysis of the Tensile Failure Process of TRC Based on Load-Displacement Curves and DIC Full-Field Strain: Multi-Crack Stable Development Mechanism Under the ACK Framework. [PDF]
Shi F +7 more
europepmc +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Structural performance assessment of high-strength concrete beams using terrestrial laser scanning and finite element analysis. [PDF]
Sedawy AE, Shehata AG, Beshr AAA.
europepmc +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Research on the Axial Compression Performance of Double C-Section Partially Encased Composite Columns. [PDF]
Zhou M, Qin L, Wen X, Wang F, Weng G.
europepmc +1 more source
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
Flexural Strengthening of Reinforced Concrete Beams Using Textile-Reinforced Mortar, Carbon Fiber-Reinforced Polymer Systems and Near-Surface-Mounted Composites: An Experimental Comparison. [PDF]
Hadi AHH +8 more
europepmc +1 more source

