Results 171 to 180 of about 37,613 (291)

Supramolecularly Directed Confined Crystallization of Lamellar Carbon Nitride for Efficient Photocatalytic Hydrogen Generation

open access: yesAdvanced Energy Materials, EarlyView.
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

Hormone antimüllérienne. [PDF]

open access: yesCMAJ
Kulshreshtha A, Jones CA.
europepmc   +1 more source

Regulation of Crystallization Kinetics via Zwitterionic Additive for Efficient and Operationally Stable Formamidinium Perovskite Solar Cells

open access: yesAdvanced Energy Materials, EarlyView.
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 Guiding the Experimental Mapping of the Pareto Front of Mechanical and Flame‐Retardant Properties in Polyamide Nanocomposites

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Pancake Lenses through Curved Lamination for Compact Virtual Reality

open access: yesAdvanced Intelligent Systems, EarlyView.
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

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

open access: yesAdvanced Intelligent Systems, EarlyView.
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

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