Results 151 to 160 of about 2,732,958 (292)

Trace Nickel Activated Biphasic Core‐CuOii/Shell‐CuOi Secondary Microspheres Enable Room Temperature Parts‐Per‐Trillion‐Level NO2 Detection

Advanced Engineering Materials, EarlyView.
An idea of designing novel sensors is proposed by creating appropriate Schottky barriers and vacancies between isomorphous Core‐CuOii/ Shell‐CuOi secondary microspheres and enhancing catalytic and spill‐over effects, and electronegativity via spontaneous biphasic separation, self‐assembly, and trace‐Ni‐doping.
Bala Ismail Adamu, Peipei Chen, Shafia Mukhtar Ibrahim, Mukhtar Lawan Adam, Attia Falak, Mokhotjwa Simon Dhlamini, Hanfu Wang, Lingxiang Jiang, Weiguo Chu   +8 more
wiley   +1 more source

A separable two-dimensional random field model of binary response data from multi-day behavioral experiments. [PDF]

J Neurosci Methods, 2018
Malem-Shinitski N, Zhang Y, Gray DT, Burke SN, Smith AC, Barnes CA, Ba D.   +6 more
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Depth Reconstruction from Single Images Using a Convolutional Neural Network and a Condition Random Field Model. [PDF]

Sensors (Basel), 2018
Liu D, Liu X, Wu Y.
europepmc   +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

A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI. [PDF]

Front Neuroinform, 2017
Castillo-Barnes D, Peis I, Martínez-Murcia FJ, Segovia F, Illán IA, Górriz JM, Ramírez J, Salas-Gonzalez D.   +7 more
europepmc   +1 more source

Multimodal Mechanical Testing of Additively Manufactured Ti6Al4V Lattice Structures: Compression, Bending, and Fatigue

Advanced Engineering Materials, EarlyView.
In this experimental study, the mechanical properties of additively manufactured Ti‐6Al‐4V lattice structures of different geometries are characterized using compression, four point bending and fatigue testing. While TPMS designs show superior fatigue resistance, SplitP and Honeycomb lattice structures combine high stiffness and strength. The resulting
Klaus Burkart, Jonas Schmidt, Anastasiya Toenjes, Johanna Eisenträger   +3 more
wiley   +1 more source

PReFerSim: fast simulation of demography and selection under the Poisson Random Field model. [PDF]

Bioinformatics, 2016
Ortega-Del Vecchyo D, Marsden CD, Lohmueller KE.   +2 more
europepmc   +1 more source

Design and Prototyping of Topology‐Optimized, Additively Manufactured Lightweight Components for Space Robotic Systems: A Case Study

Advanced Engineering Materials, EarlyView.
The results demonstrate a simulation‐driven workflow that applies LSB topology optimization with additive manufacturing constraints to mission‐specific load cases, integrating European Cooperation for Space Standardization compliant verification and manufacturability to develop structurally efficient rover suspension components.
Stelios K. Georgantzinos, Grigorios Kostopoulos, Eleni Papadopoulou, Stefanos Voulgaris, Alexandra Tseni, Panteleimon Bakalis, Maria N. Gkara, Chara Ch. Mitropoulou, Georgios Kazakis, Alin Munteanu, Jeremi Gancet, Nikos D. Lagaros   +11 more
wiley   +1 more source

Nitride‐Reinforced Metal Matrix Nanocomposite Powders Production by Plasma‐Assisted Thermochemical Treatment of Intermetallic Powders

Advanced Engineering Materials, EarlyView.
This study proposes a new methodology for producing metal matrix nanocomposites in the solid state. The process involves the plasma‐assisted thermochemical treatment of metallic alloy powders. As a proof‐of‐concept, TiN nanoparticles are synthesized directly on the surface of FeTi intermetallic powder particles, enabling the development of the ...
Deivison Daros Paim, Antônio Rogério de Souza, Tatiana Bendo, Aloisio Nelmo Klein, Rodrigo Perito Cardoso   +4 more
wiley   +1 more source