Results 191 to 200 of about 53,713 (267)
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling +15 more
wiley +1 more source
Machine learning potentials for modeling alloys across compositions. [PDF]
Sheriff K +4 more
europepmc +1 more source
Different Al/Al bimetals with a single engineered interface reveal how mechanical mismatch governs fatigue crack growth under cyclic loading. Additionally, loading–unloading–reloading tests link the microyielding behavior to the fatigue crack growth resistance, while crack‐path analysis reveals toughening mechanisms at the interface, highlighting ...
Sebastian Vollath +2 more
wiley +1 more source
Metallurgical Thermodynamic Design Research on the In Situ Synthesis of Ti-Al-Nb Alloys Using Thermit Self-Propagating Reduction. [PDF]
Jiang H, Zhang T, Dou Z.
europepmc +1 more source
Multilayer Self‐Limiting Electrospray Deposition via Stepped Voltage Bias
Self‐limiting electrospray deposition (SLED) uses a high voltage to generate and deposit a charged payload on a target surface. The coating retains its charge, repelling newly arriving material. SLED thickness can be decreased by applying a secondary bias to the target.
Madhuri Deb +3 more
wiley +1 more source
Attention-enhanced variational learning for physically informed discovery of exceptionally hard multicomponent bulk metallic glasses. [PDF]
Bajpai A +5 more
europepmc +1 more source
Residual adhesive after electrode loading in adhesive‐assisted resistance spot welding is quantified through a traceable experimental‐to‐digital workflow. Chromatic confocal topography provides calibrated surface‐height data, while OpenCV detects the electrode imprint and integrates adhesive height into comparable volume metrics.
Sung‐Min Wi, Jiangdong Zhao
wiley +1 more source
Machine learning driven discovery of low modulus biomedical titanium alloys for additive manufacturing. [PDF]
Su J +8 more
europepmc +1 more source
We apply a foundational machine‐learning interatomic potential based on the graph atomic cluster expansion (GRACE) to simulate the commercial Ni‐based single‐crystal superalloy CMSX‐4. Hybrid Monte‐Carlo/molecular dynamics sampling resolves short‐range order in the γ phase and L12 sublattice occupancies in the γ’ phase and connects them to stacking ...
Aditya Vishwakarma +4 more
wiley +1 more source
Fractographic Analysis and Fatigue Crack Propagation Behavior of TC4-F Alloy with a Duplex Microstructure. [PDF]
Sun Y, Liu L, Mao Z, Jiang F, Zhou L.
europepmc +1 more source

