Results 191 to 200 of about 3,026,493 (306)

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

open access: yesAdvanced 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

Harnessing Machine Learning to Understand and Design Disordered Solids

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Acute exposure to fine ambient particulate matter and pulmonary exacerbations in cystic fibrosis: A case-crossover study. [PDF]

open access: yesAtmos Environ X
Colegate SP   +9 more
europepmc   +1 more source

Scientists in schools – a case study [PDF]

open access: yes, 2010
Weber, Hellen, McCabe, Bernadette K.
core  

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

open access: yesAdvanced 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

Ordered Ionic‐Liquid Channels Enable Fast Anhydrous Proton Conduction at up to 240°C for Fuel Cells

open access: yesAngewandte Chemie, EarlyView.
Infiltration of ionic liquids into a composite scaffold comprised of graphene and boron nitride nanosheets functionalised with positively charged polyethyleneimine produces robust proton conducting membranes for the intermediate temperature electrochemical devices.
Mazin Al‐Alawi   +8 more
wiley   +2 more sources

The effect of seasonal and meteorological factors on suicide rates in the Lithuanian population in 2001-2021: a case‑crossover study. [PDF]

open access: yesBMC Public Health
Vaičiulis V   +7 more
europepmc   +1 more source

i‐Tac: Inverse Design of 3D‐Printed Tactile Elastomers with Tuneable Optical and Mechanical Properties

open access: yesAdvanced Intelligent Systems, EarlyView.
Inspired by the multi‐tissue architecture of the human fingertip dermis (A), this work introduces a mixture design using three PolyJet materials (AC/TM/GM) to expand the achievable elastomer property space (B). An inverse design pipeline (i‐Tac) is developed to map target optical/mechanical requirements to optimal material compositions (C), enabling ...
Wen Fan, Dandan Zhang
wiley   +1 more source

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