Results 191 to 200 of about 1,001,244 (346)
Fatigue Crack Initiation and Growth in Nanocrystalline Ni at Multiple Length‐Scales
Overview of miniaturized in situ SEM fatigue setup and resultant fatigue crack growth data for nanocrystalline Ni. The presented study focuses on the analysis of fatigue crack growth rate (FCGR) in focused ion beam‐notched microcantilevers prepared from nanocrystalline (NC) Ni as a model material.
Igor Moravcik +7 more
wiley +1 more source
From Leuco to Blue: Photochemical Redox Amplification for Small-Molecule Immunodetection. [PDF]
Moya-Cavas T +4 more
europepmc +1 more source
Double perovskites as a family of highly active catalysts for oxygen evolution in alkaline solution
A. Grimaud +7 more
semanticscholar +1 more source
Influence of Test Temperature and Test Frequency on Fatigue Life of Aluminum Alloy EN AW‐2618A
The influence of test temperature and test frequency on the fatigue life of EN AW‐2618A is investigated. High‐cycle fatigue tests are performed at different test temperatures and frequencies on the 1000 h/230°C overaged state. Both test parameters reduce fatigue life due to time‐dependent damage mechanisms.
Ying Han +5 more
wiley +1 more source
Λεξικό σκηνοθετών του ελληνικού κινηματογράφου / Κώστας Δ. Γούτος ,Κωνσταντίνος Δ. Νούλας. [PDF]
Γούτος, Κώστας Δ.
core
Organization of Astrocytic GLT-1 at Cortical Inhibitory Synapses. [PDF]
Melone M +3 more
europepmc +1 more source
The present study investigates recycling of NiTi shape memory alloys via vacuum induction melting. An ingot was synthesized from elemental Ni and Ti and subjected to three subsequent remelting cycles. Remelting increases process durations and impurity levels and adversely affects microstructures and functional properties.
Sakia Sophia Noorzayee +7 more
wiley +1 more source
Peroxisome-Proliferator-Activated Receptor δ Activates Fat Metabolism to Prevent Obesity
Yong-Xu Wang +8 more
semanticscholar +1 more source
Optimization of the Production of Rubber Compounds Using Mathematical Models
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle +7 more
wiley +1 more source

