Results 91 to 100 of about 468,260 (171)

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Monitoring oil spill contamination in seawater using molecularly imprinted polymer thin-films and direct solid-state fluorometric detection. [PDF]

Environ Monit Assess
Hijazi HY, Tahir M, Salim S.
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Hidden Solid-State Transformation of Darunavir in Low-Temperature Hot-Melt-Extruded Granules: Implications for Pharmacy Compounding and Routine Quality Control. [PDF]

Pharmaceutics
Mandrik M, Makarova V, Korol L, Sadkovskii I, Krasnyuk I, Antonov S.   +5 more
europepmc   +1 more source

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

Advanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar, Dhanadeep Dutta, G. Bharat Reddy   +2 more
wiley   +1 more source

Correction: Liu et al. Structural, Mechanical, and Electronic Properties of High-Hardness Silicon Tetranitride. <i>Molecules</i> 2025, <i>30</i>, 4357. [PDF]

Molecules
Liu L, Qi J, Ding C, Wang D, Zhang S.
europepmc   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source

Hydration water dynamics in amyloid-β aggregates using deuterium and oxygen-17 solid-state NMR spectroscopy. [PDF]

J Chem Phys
Frazier B, Vanden Heuvel S, Yadav K, Fu B, Zimmermann SA, Fu R, Vander Zanden C, Ostrovsky D, Vugmeyster L.   +8 more
europepmc   +1 more source

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

Advanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios, Anthony Gonzalez, Aleksander Aleman, Tyler Dolmetsch, Tanaji Paul, Arvind Agarwal   +5 more
wiley   +1 more source

Beyond AI-Driven Curve Fitting: Mechanistic Insight as the Cornerstone of Reliable Sensing and Accurate Fitting. [PDF]

Small Methods
Dai L, Chen Y, Zha D, Ding D, Shen Y, Lei X, Jie H, Liu Q, Jiang L, Lin M, Huang Y, Xia F.   +11 more
europepmc   +1 more source