Results 221 to 230 of about 2,397,925 (252)
Advanced Energy Materials, EarlyView.A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan +12 more
wiley +1 more source
Advanced Energy Materials, EarlyView.This work clarifies why organic semiconductors perform differently in photovoltaic devices and photocatalytic nanoparticles. By examining D18:Y5 and PM6:Y6 systems, we show how aggregation, exciton lifetime, and interfacial charge transfer behavior govern energy‐conversion pathways.
Gayoung Ham +14 more
wiley +1 more source
Membrane‐aided simultaneous reaction–separation for liquid phase products
AIChE Journal, EarlyView.Abstract Conventionally, reaction and separation are conducted as separate steps in liquid‐phase manufacturing, with products formed during reaction and subsequently separated from unreacted reagents, solvents, and byproducts. Integrating these steps into a simultaneous reaction–separation process can improve efficiency and reduce costs.
Yihan Song +4 more
wiley +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
Advanced Intelligent Discovery, EarlyView.This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
Advanced Intelligent Discovery, EarlyView.This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary +1 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Animal Models and Experimental Medicine, EarlyView.This study demonstrates that kojic acid–loaded nanostructured lipid carriers (KA‐NLC) provide significant neuroprotection in a male rat model of middle cerebral artery occlusion (MCAO)–induced stroke. Treatment with KA‐NLCs reduced cerebral edema, improved motor and coordination balance and neurological scores, and enhanced spatial and avoidance memory.
Mobina Gheibi +11 more
wiley +1 more source