Results 231 to 240 of about 104,199 (290)
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
Effect of beryllium on magnesium and its alloys (4th Report)
Chuyo HISATSUNE, Tsutomu HAGIHARA
openalex +2 more sources
Temperature‐Resilient Polymeric Memristors for Effective Deblurring in Static and Dynamic Imaging
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
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
Development of a sand-cast magnesium alloy baseplate for the medium mortar. phase II
B Lagowski, J Harbec, J W Meier
openalex +1 more source
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
Development of a sand-cast magnesium alloy baseplate for the medium mortar summary report
J W Meier
openalex +1 more source
Active Learning‐Driven Discovery of Sub‐2 Nm High‐Entropy Nanocatalysts for Alkaline Water Splitting
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