Results 221 to 230 of about 822,037 (305)

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

open access: yesAdvanced Engineering Materials, EarlyView.
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

Meniscus injury prediction model based on metric learning. [PDF]

open access: yesPeerJ Comput Sci
Wang Y   +7 more
europepmc   +1 more source

Graph metric learning quantifies morphological differences between two genotypes of shoot apical meristem cells in Arabidopsis. [PDF]

open access: yesIn Silico Plants, 2023
Braker Scott C   +5 more
europepmc   +1 more source

Robot‐Assisted Automated Serial‐Sectioning and Imaging for 3D Microstructural Investigations

open access: yesAdvanced Engineering Materials, EarlyView.
A fully automated 3D microstructure characterization platform provides new insights into materials. This robot‐assisted system performs serial‐sectioning, etching, and optical imaging to generate large‐volume 3D reconstructions with submicron resolution.
Michael Moschetti   +7 more
wiley   +1 more source

Difficult Airway Assessment Based on Multi-View Metric Learning. [PDF]

open access: yesBioengineering (Basel)
Wu J, Yao Y, Zhang G, Li X, Peng B.
europepmc   +1 more source

Feasibility of mapping cross-country population coronavirus disease 2019 metrics in a federated design: learnings from a HealthData@EU Pilot use case [PDF]

open access: gold
Charles-Andrew Vande Catsyne   +11 more
openalex   +1 more source

Advancing Research on Biomaterials and Biological Materials with Scanning Electron Microscopy under Environmental and Low Vacuum Conditions

open access: yesAdvanced Engineering Materials, EarlyView.
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy