Results 151 to 160 of about 710,614 (300)

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced 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, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Development of infrared desolvation device for single cell element analysis using droplet sample injection inductively coupled plasma spectrometry. [PDF]

Anal Sci
Fukuchi K, Yamaji S, Shimizu Y, Ohta T, Yaida A, Maemoto Y, Aoki M, Umemura T, Okino A.   +8 more
europepmc   +1 more source

Spot Gluing by High-Frequency Heating [PDF]

Nature, 1944
openaire   +1 more source

A Compact Spin‐Coated Graphene UWB Antenna for Breast Tumor Detection

Advanced Engineering Materials, EarlyView.
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, Shuvra Saha, Sumit Hassan Eshan, Rinku Basak, Md. Nahian Al Subri Ivan, Ahmed Murtuza Saleque, Raja Tariqul Hasan Tusher, Sadia Zabin, Md. Abdur Rahman, Yuen Hong Tsang   +9 more
wiley   +1 more source

Stimulation Modalities in Wearable Haptic Systems: Single-Mode Feedback to Multiphysics Actuation. [PDF]

Research (Wash D C)
Guo X, Avila R, Wu Z, Wang X, Xu P, Ju P, Yang Q, Liu P, Choi S, Andrei N, Xie Z.   +10 more
europepmc   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Design and construction of a pyrolysis unit - demonstrated in connection with gas chromatography-ion mobility spectrometry. [PDF]

HardwareX
Lippmann M, Hitzemann M, Eckhardt A, Röckrath D, Zimmermann S.   +4 more
europepmc   +1 more source

Synthesis of a Novel Thermoresponsive S53P4 Bioactive Glass Extract–Poloxamer 407 Injectable Hydrogels: Assessment of Biocompatibility and Antimicrobial Properties

Advanced Engineering Materials, EarlyView.
This study investigates innovative thermoreversible hydrogels derived from S53P4 bioactive glass extracts to aid in the healing of infected diabetic foot wounds. These injectable gels, which gel at body temperature, release beneficial ions and remain stable over time.
Marian G. Vargas Guerrero, Adrian Stiller, Alex Nygård, Matej Krivulka, Lars Galema, Erwin Peters, Jimmy Lucchesi, Peter Uppstu, Leena Hupa, Jacobus J. C. Arts   +9 more
wiley   +1 more source

Using Electric Fields for in Situ Curing of Carbon Fiber/Phenolic Composites in Additive Manufacturing. [PDF]

ACS Appl Eng Mater
McGovern CJ, Oubre KA, Harkin EM, Deshpande SS, Walker EM, Long CT, Bernardin JD, Green MJ.   +7 more
europepmc   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
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, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source