Hidden in plain sight: commonly used copper N-heterocyclic carbene catalysts gain stabilization from anagostic Cu⋯H-C interactions. [PDF]
Chem SciYan C +5 more
europepmc +1 more source
Adaptable Tile‐Based Pneumatic Origami through Structurally Coupled Localized Actuation
Advanced Engineering Materials, EarlyView.This article presents tile‐based pneumatic origami structures with rigid tiles and flexible fabric creases, achieving adaptable properties including morphing shape, selective multistability, and tunable stiffness. Independently pressurized folding bladders at each crease enable structurally coupled localized actuation of origami structures.
Tiantian Li, Jonathan Luntz, Diann Brei
wiley +1 more source
Tracking Down the Evolution of Microorganisms by Exhaustive Bottom-Up Analysis of Proteomes. [PDF]
Int J Mol SciKostenko DO, Bogatyreva NS, Fedorov AN.
europepmc +1 more source
An Inkjet‐Printed Platinum‐Based Temperature Sensing Element on Polyimide Substrates
Advanced Engineering Materials, EarlyView.An inkjet‐printed, meander‐structured, nanoparticle platinum‐based resistive temperature sensors on polyimide substrates are demonstrated as proof‐of‐concept. Optimized sintering at 250°C enables stable conductive structures. The Pt100‐ and Pt1000‐type sensors exhibit linear resistance–temperature characteristics with stable TCR in the 20°C–80°C range,
Shawon Alam +6 more
wiley +1 more source
Image generator for tabular data based on non-Euclidean metrics for CNN-based classification. [PDF]
PLoS OneLin YR, Wu HM.
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 +2 more
wiley +1 more source
How accurate is probabilistic tractography when used to predict the "sweet spot" in deep brain stimulation? Mind the gap! [PDF]
Acta Neurochir (Wien)Deuter D +8 more
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 +2 more
wiley +1 more source