Results 201 to 210 of about 5,830,632 (387)
Janus (MoS2) transistors functionalized with sodium alginate (SA) and poly(vinylidene fluoride‐co‐trifluoroethylene) [P(VDF‐TrFE)] exhibit persistent photo‐induced ionic gating, driven by dynamic cation migration at the hybrid interface. This ionic mechanism enables finely tunable photoconductivity and emulates key synaptic plasticity behaviors ...
Yeonsu Jeong+5 more
wiley +1 more source
An Innovative Study for Tool Wear Prediction Based on Stacked Sparse Autoencoder and Ensemble Learning Strategy. [PDF]
He Z, Shi T, Chen X.
europepmc +1 more source
Aerosol Jet Printed MXene Microsupercapacitors for Flexible and Washable Textile Energy Storage
This study introduces a novel approach using aerosol jet printing to fabricate e‐textiles with additive‐free aqueous Ti3C2Tx MXene inks. The flexible electrodes, systematically explored on cotton, polycotton, and polyester, exhibit remarkable areal capacitances of up to 4.4 F cm−2, achieving superior high‐rate performance, capacitance retention, and ...
Anastasiia Shandra+4 more
wiley +1 more source
Tool wear prediction based on XGBoost feature selection combined with PSO-BP network. [PDF]
Lin Z+6 more
europepmc +1 more source
Investigation of the Impact of High-Speed Machining in the Milling Process of Titanium Alloy on Tool Wear, Surface Layer Properties, and Fatigue Life of the Machined Object. [PDF]
Matuszak J, Zaleski K, Zyśko A.
europepmc +1 more source
On the Flank Wear of Carbide Tool in Al-Si Cast Alloy Machining
Shigeo ZAIMA+2 more
openalex +2 more sources
This study demonstrates a molecular strategy to enhance the stretchability of conjugated polymers by incorporating plasticizing molecular additives (PMAs). PMAs reduce the persistence length and promote chain entanglement, enabling deformable thin films with preserved electrical performance. A systematic analysis combining rheology, neutron scattering,
Sein Chung+11 more
wiley +1 more source
Deep Learning Tool Wear State Identification Method Based on Cutting Force Signal. [PDF]
Li S, Li M, Gao Y.
europepmc +1 more source