Results 211 to 220 of about 20,254 (258)

SCUD - Smart Culinary Utility Device: Leveraging edge AI for battery optimization and operation cycles. [PDF]

open access: yesHardwareX
Dvsr S   +5 more
europepmc   +1 more source

Triplet Energy Transfer Strategy for Visible Light Activation of Bio‐Based Oxime Esters in Photopolymerization and 3D Printing

open access: yesSmall, EarlyView.
Bio‐based oxime esters are converted into efficient metal‐free photoinitiators for 405 nm LEDs and sunlight by Dexter‑type triplet energy transfer from ITX, enabling fast and deep visible light curing, high‐resolution 3D printing and improved cytocompatibility.
Kaidan Yang   +10 more
wiley   +1 more source

Research Progress of Hyperfluorescent Organic Electroluminescent Devices. [PDF]

open access: yesMicromachines (Basel)
Li Y   +6 more
europepmc   +1 more source

Martian‑Regolith Simulant Confined Nanogenerators for Wireless Tactile Sensing for Human‐Machine Interface

open access: yesSmall, EarlyView.
A Martian regolith‐simulant/PDMS triboelectric nanogenerator is developed as an ISRU‐inspired, self‐powered tactile sensor for wireless human–machine interface applications. ABSTRACT Achieving a sustainable energy system for space missions remains challenging due to the continued reliance on Earth‐supplied materials.
Shidhin Mappoli   +2 more
wiley   +1 more source

Chiral Bifacial Indacenodithiophene‐Based Hole‐Transport Materials With Chirality‐Induced Spin Selectivity: Chirality‐Spin Polarity Correspondence and Perovskite Passivation

open access: yesSmall, EarlyView.
Homochiral bifacial indacenodithiophene (IDT)‐based hole‐transport materials form amorphous spin‐coated films showing pronounced chirality‐induced spin selectivity (CISS) with spin polarization ≈ 60%, and reveal a robust chirality–spin‐polarity correspondence.
Shuang Li   +3 more
wiley   +1 more source

Hybrid Liquid Metal Cathode Enables High-Performance Intrinsically Stretchable OLEDs. [PDF]

open access: yesAdv Mater
Lee W   +9 more
europepmc   +1 more source

Minimal Input, Maximum Insight: Inferring Material Parameters From Solar Cell JV Curves Alone

open access: yesSmall Methods, EarlyView.
A machine‐learning framework is presented for extracting key material parameters directly from standard current‐voltage measurements of organic solar cells. By combining physics‐based simulations with a differential learning approach and residual neural networks, the method infers quantities such as mobility and recombination lifetime as probability ...
Cai Williams   +6 more
wiley   +1 more source

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