Results 231 to 240 of about 104,199 (290)

Ideal Molecular Sieving with a Dense MOF for Helium Upgrading with Highly Diffusion Selective Mixed Matrix Membranes

open access: yesAdvanced Functional Materials, EarlyView.
The separation of Helium gas from natural gas is challenging but highly important. MIL‐116(Ga), a “non‐porous” metal–organic framework is used as a molecular sieve to separate He from CH4. Druse‐like MIL‐116(Ga) particles are integrated into polysulfone mixed matrix membranes.
Ayisha Komal   +10 more
wiley   +1 more source

Temperature‐Resilient Polymeric Memristors for Effective Deblurring in Static and Dynamic Imaging

open access: yesAdvanced Functional Materials, EarlyView.
A thermally stable organic memristor based on a thiadiazolobenzotriazole (TBZ) and 2,5‐Dioctyl‐3,6‐di(thiophen‐2‐yl)pyrrolo[3,4‐c]pyrrole‐1,4(2H,5H)‐dione (DPP)‐based conjugated polymer is presented, demonstrating reliable, gradual resistance switching across a wide temperature range (153–573 K).
Ziyu Lv   +15 more
wiley   +1 more source

Ferrocene Derivatives Enable Ultrasensitive Perovskite Photodetectors with Enhanced Reverse Bias Stability

open access: yesAdvanced Functional Materials, EarlyView.
Novel ferrocene derivatives (e.g., FcPhc2) are used as an ultrathin layer hole‐blocking layer, reducing hole injection from the Ag contact. This results in an ultralow noise spectral density of 1.2 × 10−14 A Hz−1/2, and a high specific detectivity of 8.1 × 1012 Jones at −0.5 V.
Eunyoung Hong   +16 more
wiley   +1 more source

Hyperbranched Interpenetrating Hydrogen Bond Network (HIHBN) Proton Exchange Membrane for Fuel Cells Above 220 °C

open access: yesAdvanced Functional Materials, EarlyView.
A novel polymer electrolyte membrane with a hyperbranched interpenetrating hydrogen bond network structure is developed. The unique structure of the hyperbranched polymer contributes to a high glass transition temperature exceeding 400 °C, enabling its operation at elevated temperatures for fuel cell applications.
Lingping Zeng   +10 more
wiley   +1 more source

Active Learning‐Driven Discovery of Sub‐2 Nm High‐Entropy Nanocatalysts for Alkaline Water Splitting

open access: yesAdvanced Functional Materials, EarlyView.
High‐entropy nanoparticles (HENPs) hold great promise for electrocatalysis, yet optimizing their compositions remains challenging. This study employs active learning and Bayesian Optimization to accelerate the discovery of octonary HENPs for hydrogen and oxygen evolution reactions.
Sakthivel Perumal   +5 more
wiley   +1 more source

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