Results 181 to 190 of about 520,281 (354)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

Quantifying Spatio‐Operational Heterogeneity in Electrochemical Devices via Operando Correlative Neutron and X‐Ray Tomography

open access: yesAdvanced Functional Materials, EarlyView.
Heterogeniety in electrochemical systems heavily influences device performance and durability. The study shows unique evidence of spatio‐operational heterogeneity in fuel cells via operando neutron and X‐ray tomography. Large variations in membrane thickness and hydration depend upon location and operating conditions, with implications on membrane ...
Pranay Shrestha   +9 more
wiley   +1 more source

Publisher Correction: Interpretable material descriptors for critical pitting temperature in austenitic stainless steel via machine learning

open access: yesnpj Materials Degradation
Faguo Hou   +9 more
doaj   +1 more source

Bio‐Friendly Artificial Muscles Based on Carbon Nanotube Yarns and Eutectogel Derivatives

open access: yesAdvanced Functional Materials, EarlyView.
Solid‐state artificial muscles based on coiled commercial carbon nanotube yarns coated with eutectogel derivatives exhibit unipolar actuation through selective ion intercalation. Combining polyanionic and polycationic gels enables enhanced contractile stroke and high energy density.
Gabriela Ananieva   +6 more
wiley   +1 more source

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