Results 221 to 230 of about 5,759,774 (291)

Non‐Additive Criteria Assessment in Sustainability Evaluation of High Entropy Alloys: A Toxicity‐Weighted Framework

Advanced Engineering Materials, EarlyView.
Sustainability assessment requires methodologies that appropriately distinguish between additive and non‐additive material properties. A toxicity‐weighted scoring system is developed and applied that accounts for the disproportionate influence of highly toxic constituents through nonlinear weighting functions, providing more realistic estimates than ...
Seth Mehalic, Oladele A. Ogunseitan, Julie M. Schoenung   +2 more
wiley   +1 more source

Educational Value of a Leadership-Focused High-Fidelity Simulation Scenario in Undergraduate Nursing Education: A Single-Group Educational Intervention Study. [PDF]

Nurs Rep
Rached CDA, Sinzato ALO, Dos Santos TS, Galiotti VDN, Aguiar R, Pereira IM, Podgorica N.   +6 more
europepmc   +1 more source

Simulation‐Based Analysis of Insert Pull‐Out in Nickel‐Polyurethane Hybrid Foams Using CT‐Derived Geometries

Advanced Engineering Materials, EarlyView.
CT‐based finite element simulations combined with in situ X‐ray computed tomography are used to analyze insert pull‐out in nickel‐coated polymer foams. Despite variations in material parameters, deformation consistently concentrates within a narrow annular region around the insert.
Yannik Bautz, Jonas Fell, Hendrik Jost, Stefan Diebels, Hans‐Georg Herrmann   +4 more
wiley   +1 more source

When Complex Models Fit the Wrong Mechanistic Complexity in Phylogenomic Analysis. [PDF]

J Mol Evol
Liu L, Liberles DA.
europepmc   +1 more source

Design of a Multistable Finger Prosthesis with Programmable Metamaterials

Advanced Engineering Materials, EarlyView.
This research article shows the development of a multistable programmble metamaterial for the use as a finger prosthesis. The material was designed on different hierarchical levels where the influence of geometrical parameters and combination of mechanical elements was explored.
Franziska Wenz, Jannik Krohn, Alexander Leichner, Dilip Challisery, Heiko Andrae, Chris Eberl   +5 more
wiley   +1 more source

Design and development of a virtual reality simulation for dental implant prosthesis training. [PDF]

BMC Oral Health
Monaghesh E, Negahdari R, Samad-Soltani T.   +2 more
europepmc   +1 more source

FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery

Advanced Engineering Materials, EarlyView.
We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin, Émeline Cournède, Jens Krarup, Michael Lesa, Foyzul Hasan, Amandine Séné, Arnaud Lahouati, David Benhaiem, Jérémie‐Luc Sanchez, Simon Delacroix, Thierry Gacoin, Fabienne Testard, Damien Faivre, David Carriere, Corinne Chevallard, Olivier Taché, Mark A. Levenstein   +16 more
wiley   +1 more source

Development and validation of an AI-generated real-world object stimuli set. [PDF]

Behav Res Methods
Campbell G, Nicholls G, Hart R, Allen RJ, von Bastian CC, Burke MR, Rodriguez MP, Nicholls LAB.   +7 more
europepmc   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Deep learning techniques for extreme rainfall prediction: a review of state-of-the-art. [PDF]

Front Artif Intell
Mukhalela BU, Viriri S, Ndzi D, Gebreslasie M, Zeeshan Shakir M, Ramzan N, Ayaz F, Lynch M, Spencer LH, Naidoo S, Nadesan-Reddy N, Mahomed O, Dickinson N, Henriquez F.   +13 more
europepmc   +1 more source