Results 211 to 220 of about 793,612 (363)

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

Electrically Tunable On‐Chip Topological Photonics with Integrated Carbon Nanotubes

open access: yesAdvanced Functional Materials, EarlyView.
This work demonstrates electrically tunable on‐chip topological THz devices by integrating 2D carbon nanotube (CNT) sheets with valley‐Hall photonic crystals, enabling broadband transmission modulation (71% modulation depth) and tunable narrowband filtering (0.54 GHz shift) through electrically induced thermal tuning. This advancement paves the way for
Jifan Yin   +7 more
wiley   +1 more source

Radiographic Predictors of Extraction and Impaction Patterns of Third Molars among Adults in Saudi Arabia: a Retrospective Radiographic Study. [PDF]

open access: yesMaedica (Bucur)
Almaghlouth BA   +6 more
europepmc   +1 more source

Photoluminescent UV Light Modulation via Anisometric Carbon Nanodots for UV–Visible Shutter and UV Sensor

open access: yesAdvanced Functional Materials, EarlyView.
Anisometric carbon nanodots are synthesized directly from a liquid crystal precursor and embedded into polymer network liquid crystals to create soft, multifunctional photonic films. These hybrid devices exhibit polarized photoluminescence, broad UV absorption, and fast, electrically tunable light modulation.
Mangesh D. Patekari   +4 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

Home - About - Disclaimer - Privacy