Results 111 to 120 of about 727,356 (268)

Numerical Investigation of a Dual‐Mode Shape Memory Alloy Stent Enabling Secondary Expansion via Focused Ultrasound: A Potential Strategy for Correcting In‐Stent Restenosis

Advanced Engineering Materials, EarlyView.
This study demonstrates a novel noninvasive strategy to treat in‐stent restenosis using focused ultrasound. A shape memory alloy stent initially expands at body temperature. If restenosis occurs, targeted ultrasound heating thermally actuates the stent, enabling a secondary expansion to reopen the blocked vessel, offering a potential alternative to ...
Stephen Asare, Lucinda Duncan, Josiah Owusu‐Danquah, Brian L. Davis   +3 more
wiley   +1 more source

The Impact of High‐Productivity Processing on the Fatigue Failure of an Additive Manufactured Superalloy HAYNES 282

Advanced Engineering Materials, EarlyView.
The low cycle fatigue life of additive manufactured HAYNES® 282® superalloy was investigated for conventional and high‐productivity processing: samples of the former lasted 1400–1700 cycles, while samples of the latter failed at ~ 1200 cycles, at 760 °C and 1% strain.
Abdul Shaafi Shaikh, Ahmed Fardan, Tatiana Mishurova, Eduard Hryha   +3 more
wiley   +1 more source

Laser Powder Bed Fusion of Copper–Tungsten Composites for Heat Sink Applications in High‐Power Electronics

Advanced Engineering Materials, EarlyView.
This article demonstrates the successful qualification of a copper–tungsten composite for laser powder bed fusion. The resulting components exhibited high density, high thermal conductivity, and reduced thermal expansion. Heat sinks with complex geometries were successfully manufactured, clearly showcasing the material's potential for additive ...
Simon Rauh, Shashank Deepak Prabhu, Jannik Huber, Lioba Fischer, Gerhard Wolf, Nico Hempel, Peter Mayr   +6 more
wiley   +1 more source

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

pH-dependent structural dynamics of neuropeptide Y in aqueous solution. [PDF]

PLoS One
Nguyen HT, Spehr M, Bondar AN, Carloni P.   +3 more
europepmc   +1 more source

Interactions between Molten High‐Silicon Electrical Steels and Carbon‐Bonded MgO Refractories Based on Recyclates

Advanced Engineering Materials, EarlyView.
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, Matheus Roberto Bellé, Anton Yehorov, Anhelina Mospan, Till M. J. Stadtmüller, Seetharaman Sridhar, Christos G. Aneziris, Olena Volkova   +7 more
wiley   +1 more source

Coarse-Grained Martini 3 Model of Chondroitin Sulfate A. [PDF]

J Chem Theory Comput
Greicius P, Gräter F, Grünewald F, Aponte-Santamaría C.   +3 more
europepmc   +1 more source

Compressible Flow Exfoliation of Two‐Dimensional Nanomaterials: Insights Into Layer Separation Informed by Gas Dynamics

Advanced Engineering Materials, EarlyView.
This study elucidates the mechanism of compressible flow exfoliation for producing 2D hexagonal boron nitride (h‐BN). Fluid dynamics analysis reveals that acceleration‐driven aerodynamic shear forces, rather than shock waves alone, drive effective layer separation.
Md Farhadul Islam, Saeed Arabha, Ray Hixon, Reza Rizvi   +3 more
wiley   +1 more source

Utilizing Heteroatom Types and Numbers from Extensive Ligand Libraries to Develop Novel hERG Blocker QSAR Models Using Machine Learning-Based Classifiers

ACS Omega, 2023
Safa Haddad, Lalehan Oktay, Ismail Erol, Kader Şahin, Serdar Durdagi   +4 more
doaj   +1 more source

Characterizing the Conformational Dynamics of the Ribose Transporter B Protein in <i>Escherichia coli</i>: Enhanced Sampling via Multiple Force Fields. [PDF]

J Chem Theory Comput
Juraschko N, Rocha FK, Khalid S.
europepmc   +1 more source