Results 221 to 230 of about 46,823 (313)

Robot‐Assisted Measurement of the Critical Micelle Concentration

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The study introduces (SIMO) smart integrator for manual operations, a robotic platform for precise, repeatable determination of (CMC) critical micelle concentration in surfactants. SIMO reduces standard deviation by 80% compared to manual methods. Surfactant, dye, and diluent selection, robotic protocols, and data handling are detailed.
Vincenzo Scamarcio, Gadi Slor, Josie Hughes, Francesco Stellacci   +3 more
wiley   +1 more source

Micellization Studies of Block Copolymers of Poly(N-vinyl pyrrolidone) and n-Alkyl-Substituted Poly(vinyl esters) in Tetrahydrofuran. [PDF]

Polymers (Basel)
Roka N, Skiadas VC, Kolovou A, Papazoglou TP, Pitsikalis M.   +4 more
europepmc   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios, Léon Chiriatti, Simon Poppinga, Thomas Speck, Vincent Le Houérou   +4 more
wiley   +1 more source

Correction to "Simplified Polymer Particle Design: Using Block Copolymers to Create Multi-Hollow Structures". [PDF]

ACS Omega
Kamlangmak N, Rattanawongwiboon T, Minami H, Chaiyasat A.   +3 more
europepmc   +1 more source

Data‐Driven Design of Bimodal Networked Dielectric Elastomers for High‐Performance Artificial Muscles

Advanced Intelligent Systems, EarlyView.
A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov, Hanzhi Ma, Junbo Peng, Huifeng Dong, Jiangshan Zhuo, Mengke Shi, Lvting Wang, Shengchao Jiang, Ye Shi   +8 more
wiley   +1 more source

Co-assembly of Block Copolymers and Cobalt Ferrite Nanoparticles for Magnetic Material Design. [PDF]

Chem Mater
Bertucci S, Escher A, Bravetti G, Miranda Murillo JP, Mazzotta G, Slimani S, Alberti S, Lova P, Comoretto D, Steiner U, Peddis D, Dodero A.   +11 more
europepmc   +1 more source

A Self‐Driving Lab for Solution‐Processed Electrochromic Thin Films

Advanced Intelligent Systems, EarlyView.
A self‐driving laboratory accelerates the development of solution‐processed electrochromic thin films. By coupling machine learning with robotic fabrication and characterization, this closed‐loop platform systematically navigates complex processing parameters.
Selma Dahms, Luca Torresi, Shahbaz Tareq Bandesha, Jan Hansmann, Holger Röhm, Alexander Colsmann, Marco Schott, Pascal Friederich   +7 more
wiley   +1 more source

Chemiluminescence-based evaluation of styrene block copolymers' recyclability. [PDF]

Sci Rep
Bumbac M, Zaharescu T, Nicolescu CM, Borbath T, Borbath I.   +4 more
europepmc   +1 more source

Porcine kidney xenotransplantation: From primate models to clinical reality

Animal Models and Experimental Medicine, EarlyView.
In the face of a critical shortage of human donor kidneys for end‐stage renal disease patients, porcine kidney xenotransplantation has emerged as a viable solution. This field has navigated major hurdles, including immune rejection, physiological incompatibilities, potential biomechanical differences and the risk of cross‐species infection. To overcome
Zihang Guo, Ling Zhang, Shoulong Deng, Chuan Qin   +3 more
wiley   +1 more source

Water-Induced Transparency Loss in Styrene Butadiene Block Copolymers: Mechanism, Morphology, and Predictive Modeling. [PDF]

Macromolecules
De Vrieze JE, Verswyvel M, Ghulam KY, Niebuur BJ, Kraus T, Gallei M, Niessner N.   +6 more
europepmc   +1 more source