This study reports the fabrication of trabecular bioactive glass scaffolds (composition “1d”: 46.1SiO2‐28.7CaO‐8.8MgO‐6.2P2O5‐5.7CaF2‐4.5Na2O wt%) through vat photopolymerization and the relevant results from mechanical testing and in vivo implantation procedures in rabbit femora, showing great promise for bone tissue engineering applications.
Dilshat Tulyaganov +8 more
wiley +1 more source
Cutting through the clones: genomic strategies for core collection development in moso bamboo. [PDF]
Gu R +4 more
europepmc +1 more source
The release of foulers from protective marine coatings is determined by several interrelated material properties, including the strength of Young's modulus, the flexibility of chain segments, the surface free energy, and the magnitude of hydrodynamic stress.
Johann C. Schaal +2 more
wiley +1 more source
Downscaling local distribution of cattle over Guadeloupe archipelago: An adapted method for disaggregating census data. [PDF]
Dufleit V +4 more
europepmc +1 more source
An Inkjet‐Printed Platinum‐Based Temperature Sensing Element on Polyimide Substrates
An inkjet‐printed, meander‐structured, nanoparticle platinum‐based resistive temperature sensors on polyimide substrates are demonstrated as proof‐of‐concept. Optimized sintering at 250°C enables stable conductive structures. The Pt100‐ and Pt1000‐type sensors exhibit linear resistance–temperature characteristics with stable TCR in the 20°C–80°C range,
Shawon Alam +6 more
wiley +1 more source
Occupancy-Aware Neural Distance Perception for Manipulator Obstacle Avoidance in the Tokamak Vacuum Vessel. [PDF]
Li F, Chou W.
europepmc +1 more source
What Do Large Language Models Know About Materials?
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 +2 more
wiley +1 more source
Optimizing genomic sampling for demographic and epidemiological inference with Markov decision processes. [PDF]
Rasmussen DA, Bursell MG, Burkhart F.
europepmc +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Correction: SSNdesign-An R package for pseudo-Bayesian optimal and adaptive sampling designs on stream networks. [PDF]
Pearse AR +6 more
europepmc +1 more source

