Results 171 to 180 of about 126,619 (278)
Uncertainty quantification of U-Net based segmentation tool using conformal prediction. [PDF]
Borden BJ +4 more
europepmc +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Objective-Dependent Active Learning and Calibrated Uncertainty for Sample-Efficient Discovery of Rare-Earth Extractants: A Benchmark on 1,202 Experimental Distribution Coefficients with Prospective Validation. [PDF]
Harish K.
europepmc +1 more source
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ +19 more
wiley +1 more source
A multi-stage stacking framework for accurate and interpretable life expectancy modeling. [PDF]
Chinthaginjala R +5 more
europepmc +1 more source
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
Space-Time Coding Conformal Metasurfaces for Multifrequency Beam Steering and Shaping. [PDF]
Pepe F +8 more
europepmc +1 more source
A D, Wolfson +5 more
openaire +2 more sources
Enhancing ultrasound transmission through an aberration layer exhibiting mismatched impedance with the surrounding medium possesses great implications in imaging and treatment. In this study, we show that a space‐coiling acoustic metamaterial with judiciously tailored structural profile can help improve impedance matching.
Maral Ghanami +4 more
wiley +1 more source
Integrating conformal prediction with machine learning for uncertainty-aware risk stratification in coronary artery disease. [PDF]
Lin S +12 more
europepmc +1 more source

