Results 141 to 150 of about 120,474 (264)

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

Fabrication and Characterization of High Internal Phase Pickering Emulsion Gels Stabilized by Hesperidin and Lysozyme. [PDF]

Foods
Ge X, Wang Y, Liu G, Liu B, Geng S.
europepmc   +1 more source

Emulsion Polymers and Emulsion Polymerization [PDF]

, 1981
openaire   +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, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Synthesis of porous aluminate microbeads from emulsion droplets: interphase alcohol extraction-driven assembly of sub-10 nm nanoparticles. [PDF]

RSC Adv
Kuroda S, Ito M, Ohno K, Nakahira A, Tokudome Y.   +4 more
europepmc   +1 more source

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

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, Nicholas Ballard   +1 more
wiley   +1 more source

Modified Rice Bran Dietary Fiber-Based Pre-Emulsion as a Fat Replacer: Modulating Physicochemical and Sensory Properties of Emulsified Meat Gels. [PDF]

Foods
Zhao Y, Zhang C, Zhao X, Xu X.
europepmc   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

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, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

Development of Sub‐50 nm Core–Shell Silica Nanoparticles With Controlled In Vivo Behavior for 19F Magnetic Resonance Imaging

Angewandte Chemie, EarlyView.
Ultrasmall PFCE‐loaded silica nanoparticles synthesized through a one‐pot double‐emulsion synthesis method, where rapid silica shell formation kinetically fixes droplet size. The resulting s‐FLAME nanoparticles enable strong 19F MRI signals with enhanced hepatic clearance rate and tumor‐accumulation performance. ABSTRACT 19F magnetic resonance imaging (
Yue Wu, Masafumi Minoshima, Kazuya Kikuchi   +2 more
wiley   +2 more sources

The Interaction Between Corn Starch and Xanthan Gum in Formulating Heat-Induced Emulsion Gels for Animal Solid Fat Mimetics. [PDF]

Foods
Lv Y, He X, Tang T, Cui H, Zhu T, Su Y, Bu G, Xu L.   +7 more
europepmc   +1 more source