Results 131 to 140 of about 87,554 (260)

Fatigue Crack Initiation and Growth in Nanocrystalline Ni at Multiple Length‐Scales

Advanced Engineering Materials, EarlyView.
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, Alexander Jelinek, Markus Alfreider, Jutta Luksch, Anton Hohenwarter, Florian Schaefer, Christian Motz, Daniel Kiener   +7 more
wiley   +1 more source

The preference of onboard activities in a new age of automated driving. [PDF]

Eur Transp Res Rev, 2022
Hamadneh J, Esztergár-Kiss D.
europepmc   +1 more source

Automated Driving Aggressiveness for Traffic Management in Automated Driving Environments

Journal of Korean Society of Transportation, 2018
Seolyoung LEE, Minsoo OH, Cheol OH, Eunbi JEONG, Kiyong KIM   +4 more
openaire   +1 more source

Tailoring Functional Properties of Ti–Ni–Cu Shape Memory Alloy Thin Films for MEMS Actuators

Advanced Engineering Materials, EarlyView.
A comprehensive study of critical parameters required to develop well‐performing Ti–Ni–Cu thin film shape memory alloy microactuators is provided. Materials science and device integration aspects are integrated by addressing structural and physical relationships using complementary characterization techniques as well as a practical fabrication solution
Elaheh Akbarnejad, Aleksander Kostka, Gowtham Arivanandhan, Yujiao Li, Alan Savan, Manfred Kohl, Alfred Ludwig   +6 more
wiley   +1 more source

Test case sampling optimization for safety validation of automated driving systems. [PDF]

Nat Commun
Qian C, Xu J, Xing X, Guo F.
europepmc   +1 more source

Evaluating Localization Accuracy of Automated Driving Systems. [PDF]

Sensors (Basel), 2021
Rehrl K, Gröchenig S.
europepmc   +1 more source

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

The role of take-over cue informativity in interrupted take-over requests in a semi-automated driving scenario. [PDF]

Sci Rep
Berger A, Damm N, Baumann M, Kiefer M.
europepmc   +1 more source

A Survey on Modelling of Automotive Radar Sensors for Virtual Test and Validation of Automated Driving. [PDF]

Sensors (Basel), 2022
Magosi ZF, Li H, Rosenberger P, Wan L, Eichberger A.   +4 more
europepmc   +1 more source

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source