Results 171 to 180 of about 24,751 (244)

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

Regression models for the prediction of the influence of magnesium ions on primary endothelial cell (HUVEC) proliferation and migration. [PDF]

open access: yesComput Struct Biotechnol J
Helmholz H   +7 more
europepmc   +1 more source

Machine‐Learning‐Guided Design of Incommensurate Antiferroelectrics via Field‐Driven Phase Engineering

open access: yesAdvanced Science, EarlyView.
The key to enhancing the energy storage performance of antiferroelectrics lies in regulating the phase transition and reverse phase transition. A phase‐field‐machine learning framework is employed to predict the energy storage performance of Pb‐based incommensurate antiferroelectrics with multi‐scale regulation strategy, thereby revealing the dynamic ...
Ke Xu   +9 more
wiley   +1 more source

A Janus‐Like Bio‐Inspired Strategy for 3D‐Printed Bimetallic Metamaterials with Excellent Thermal‐Protection and Load Bearing Capacity

open access: yesAdvanced Science, EarlyView.
A Janus‐like bio‐inspired strategy is proposed for integrally 3D‐printed bimetallic metamaterials. Inspired by shell bilayers, a heat‐resistant AlSiFeMnNiMg alloy and a SiC‐reinforced AlSi10Mg with different SiC volume fractions are arranged as an architected pair.
Zhicheng Dong   +5 more
wiley   +1 more source

Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design

open access: yesAdvanced Science, EarlyView.
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang   +15 more
wiley   +1 more source

Multi‐Tissue Omics Analysis Uncovers Translational Regulation Underlying Complex Traits in Pigs

open access: yesAdvanced Science, EarlyView.
Integrated multi‐omics across pig breeds and tissues reveals key principles of post‐transcriptional translational regulation and their contribution to trait formation. A gene network framework integrating transcriptomic and translatomic data is developed and applied to elucidate the genetic basis of meat production, offering new insights into mammalian
Chao Wang   +13 more
wiley   +1 more source

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