Results 121 to 130 of about 107,797 (245)
A Scalable Perovskite Platform With Multi‐State Photoresponsivity for In‐Sensor Saliency Detection
A scalable in‐sensor computing platform (32 × 32 array) with ultra‐low variability is developed by incorporating ferroelectric copolymers into halide perovskite thin films. These devices achieve 1000 programmable photoresponsivity states and high thermal reliability.
Xuechao Xing +10 more
wiley +1 more source
This study examines how a PVDF‐like binder affects the argyrodite Li6PS5Cl electrolyte properties. Using an approach that combines bulk and surface characterization with electrochemistry, we found a chemical interaction between Li6PS5Cl and PVDF, resulting in partial chlorine substitution by fluorine and slightly reduced ionic conductivity.
Lucas Trassart +5 more
wiley +1 more source
Sharing a Large Secret Image Using Meaningful Shadows Based on VQ and Inpainting [PDF]
openaire +1 more source
Make Me \u3cem\u3eSee\u3c/em\u3e It!: Students Use Literary Devices in Their Writing [PDF]
Aiken, Suzan
core +3 more sources
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz +5 more
wiley +1 more source
A Taxonomy of Six Perceptual Cues Underlying Photorealism in 3D-Rendered Architectural Scenes: A Cue-Based Narrative Review. [PDF]
Grašić M, Bernik A, Cviljušac V.
europepmc +1 more source
This work establishes a framework for high‐resolution printed interconnects by coupling e‐jet printing control, multilayer deposition, and sintering optimization. Ink properties and printing speed influence particle stacking, while different sintering atmospheres drive distinct microstructural evolution.
Kaifan Yue +6 more
wiley +1 more source
Constrained shadow tomography for molecular simulation on quantum devices. [PDF]
Avdic I +6 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
Deep neural networks trained for estimating reflectance and illumination achieve lightness constancy differently than human observers. [PDF]
Flachot A +5 more
europepmc +1 more source

