Results 161 to 170 of about 128,319 (210)
Area Law for the Entanglement Entropy of Free Fermions in Nonrandom Ergodic Field. [PDF]
Pastur L, Shamis M.
europepmc +1 more source
The synergistic integration of rigid polyacrylamide (PAM) and flexible poly(N,N‐dimethylacrylamide) (PDMA) phases offers exceptional toughness to suppress lithium dendrites, simultaneously enhancing mechanical strength and ionic conductivity. ABSTRACT Gel polymer electrolytes for lithium‐metal batteries face an inherent trade‐off between mechanical ...
Hao Long +6 more
wiley +1 more source
Random Matrix Theory and the Evolution of Business Cycle Synchronisation, 1886–2006
Paul Ormerod
doaj
Superpixel Random Selection Random Walk Multi-Branch Depthwise Convolutional Neural Network for Hyperspectral Image Classification. [PDF]
Zhang K, Jiang X, Cai Z.
europepmc +1 more source
Material Before Morphology: Substrate‐Dependent Mechanical Tuning of Radular Teeth
Substrate‐dependent material tuning in Clausilia radular teeth. Closely related taxa retain a conserved gross tooth morphology, but differ in elemental composition and mechanical properties according to feeding substrate. Rock‐associated taxa show increased Ca–Si enrichment and higher stiffness and hardness, especially in the central radular region ...
Ida Lilienthal +3 more
wiley +1 more source
Quantum-like Cognition and Decision-Making: Interpretation of Phases in Quantum-like Superposition. [PDF]
Khrennikov A.
europepmc +1 more source
Light Switchable Ionic Conductivity of Arylazopyrazole Modified Polysiloxanes
We present a polysiloxane functionalized with a novel arylazopyrazole dye that undergoes reversible photoisomerization. Upon lithium bis(trifluoromethanesulfonyl)imide addition and UV irradiation, the polymer exhibits a shift in tan(d) toward higher frequencies and enhanced ionic conductivity.
Malte S. Beccard +7 more
wiley +1 more source
Machine learning based approach to intrusion detection in internet of things environments. [PDF]
Akinbowale OE +3 more
europepmc +1 more source
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source
A quantum-inspired classification for random mixed states. [PDF]
Sergioli G +6 more
europepmc +1 more source

