Results 231 to 240 of about 447,247 (352)
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
Revealing the Ultrafast Energy Transfer Pathways in Energetic Materials: Time-Dependent and Quantum State-Resolved. [PDF]
Liu J +8 more
europepmc +1 more source
This study examines how several molten high‐silicon electrical steels interact with both conventional and recycled MgO–C refractories. For this, various immersion experiments are conducted. In addition to infiltration, a number of mechanisms are identified and explained that control the corrosion of the refractory material.
Lukas Neubert +7 more
wiley +1 more source
Hot Isostatic Pressing Synthesis of Al-Ta Energetic Structural Material Based on Modified Drucker–Prager Cap Model [PDF]
Zenglin Yang +4 more
openalex +1 more source
A Compact Spin‐Coated Graphene UWB Antenna for Breast Tumor Detection
A compact, spin‐coated graphene ultra‐wideband patch antenna designed for breast tumor detection, capable of distinguishing between malignant and benign tumors. This innovative antenna can serve as an effective initial screening tool, particularly in resource‐limited settings such as rural areas, where access to advanced medical equipment like MRI and ...
Raja Rashidul Hasan +9 more
wiley +1 more source
Ti/CuO Nanothermite Doped with Secondary Energetic Materials: A Study of Combustion Parameters. [PDF]
Polis M +8 more
europepmc +1 more source
Energetic evaluation of tubular adhesive joints: adherend material effect
C. C. Gulias Gomes +4 more
openalex +1 more source
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky +5 more
wiley +1 more source

