Results 171 to 180 of about 37,613 (291)
ABSTRACT Sustainable hydrogen generation through water splitting is key to realizing a future hydrogen economy. In this study, we achieved molecular‐level control over self‐assembled supramolecular complexes of cyanuric acid and 3‐amino 1,2,4 triazole (AT) monomers. This was coupled with molten‐salt‐assisted thermal polymerization in a eutectic mixture
Nithinraj Panangattu Dharmarajan +13 more
wiley +1 more source
This study introduces a zwitterionic additive, Cl‐PPS, to regulate crystallization kinetics and passivate defects in formamidinium‐based perovskite solar cells. Cl‐PPS promotes direct α‐phase formation, minimizes necessary MACl loading, and induces highly crystalline, vertically oriented grains.
Shuai Li +16 more
wiley +1 more source
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir +4 more
wiley +1 more source
Arguments sanitaires justifiant l’interdiction de la publicité pour les combustibles fossiles. [PDF]
Green S, Temper L.
europepmc +1 more source
Pancake Lenses through Curved Lamination for Compact Virtual Reality
This article presents an ultrathin VR optical system based on a 1.35 in. microdisplay, leveraging curved lamination technology. Compared to mainstream solutions, the proposed design demonstrates superior compactness (volume compression by 12%) and enhanced optical performance.
Jiaping Sun +5 more
wiley +1 more source
Investigation into the Strength, Hydration, and Microstructural Characteristics of Clinker-Free Cement Composed of Phosphorus Slag, Fluidized Bed Combustion Bottom Ash, and Lime. [PDF]
Peng Y, Li H, Yin H, Xiao J, Xu G.
europepmc +1 more source
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi +5 more
wiley +1 more source

