Results 181 to 190 of about 4,628,843 (306)

Negotiating in a Foreign Land: Understanding the Curious Interactions Between Intracellular Mitochondria and Internalized Nanoparticles

open access: yesAdvanced Materials Interfaces, EarlyView.
Therapeutic nano‐drug delivery systems interact with cellular mitochondria in a multitude of ways. While the complexity of such interactions disrupts the mitochondrial electron transport chain and increases reactive oxygen species production, thereby contributing to nanoparticle toxicity, they also present unique theranostic opportunities in diseases ...
Sourav Bhattacharjee
wiley   +1 more source

Iron-containing carbon molecular sieve membranes for advanced olefin/paraffin separations

open access: yes, 2018
Yunchen Chu   +5 more
semanticscholar   +1 more source

Al2O3 Ring Array by Infiltration Synthesis in Polystyrene Antidot Template

open access: yesAdvanced Materials Interfaces, EarlyView.
Different morphologies, such as full dots for genuine PS‐b‐PMMA, residual dots for the PS antidot array (resulting from an Acetic Acid (AA) last PS‐b‐PMMA), and rings for the modified PS antidot array (derived from an O2 plasma last PS‐b‐PMMA), originated from SIS process in PS‐b‐PMMA BCP array, due to the different reaction sites for the TMA precursor
Gabriele Seguini   +7 more
wiley   +1 more source

Two‐Way Shape Memory Polymer Composite Gripper for Adaptive Robotic Applications

open access: yesAdvanced Materials Technologies, EarlyView.
A two‐way shape memory polymer (SMP) composite is developed with intrinsic shape‐changing capability driven solely by temperature, eliminating external actuation loads. Embedding the SMP in a low‐stiffness elastomeric matrix enabled reversible transformations during heating and cooling cycles.
Aamna Hameed, Kamran Ahmed Khan
wiley   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding   +5 more
wiley   +1 more source

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