Results 181 to 190 of about 571,840 (321)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced 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, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Self-Assembly of Bent-Core Nematics in Nanopores. [PDF]

Small
Maksym AZ, Andrushchak AS, Shchur Y, Sahraoui B, Kula P, Lelonek M, Busch M, Huber P, Kityk AV.   +8 more
europepmc   +1 more source

Vesicle Self-Assembly of Monoalkyl Amphiphiles under the Effects of High Ionic Strength, Extreme pH, and High Temperature Environments

, 2018
Sarah Maurer, Kristian Tølbøl Sørensen, Zaki Iqbal, Jacqueline Nicholas, Kevin P. Quirion, Michael Gioia, Pierre‐Alain Monnard, Martin M. Hanczyc   +7 more
openalex   +2 more sources

Using In Situ TEM to Understand the Surfaces of Electrocatalysts at Reaction Conditions: Single‐Atoms to Nanoparticles

Advanced Functional Materials, EarlyView.
This review summarizes recent advances in closed‐cell in situ TEM strategies for accurate determination of the activity and stability of single‐atom catalyst systems during operation. Operando conditions causing dynamic changes of SAC systems are highlighted and we explain why ensemble average‐based optical techniques may benefit from the technological
Martin Ek, Soshan Cheong, Julie Cairney, Richard D. Tilley, Ingemar Persson   +4 more
wiley   +1 more source

Tautomerism-Coupled Self-Assembly and Transformations of Iminopyrrole Metallacages. [PDF]

Chemistry
Sukiennik J, Sarwa A, Perdek JP, Siczek M, Szyszko B.   +4 more
europepmc   +1 more source

Micropatterning of protein-functionalized magnetic beads on glass using electrostatic self-assembly

, 2007
Venkataragavalu Sivagnanam, A. Sayah, Caroline Vandevyver, Martin A. M. Gijs   +3 more
openalex   +2 more sources

Multiband Switchable Microwave Absorbing Metamaterials Based on Reconfigurable Kirigami–Origami

Advanced Functional Materials, EarlyView.
A reconfigurable metamaterial featuring tunable microwave‐absorbing and load‐bearing performance is proposed. Stretchable kirigami and bistable origami configurations are integrated as actuating components, and the synergistic deformation mechanisms are systematically analyzed.
Weimin Ding, Zhong Zhang, Zeang Zhao, Shengyu Duan, Panding Wang, Xiaogang Guo, Hongshuai Lei, Daining Fang   +7 more
wiley   +1 more source

A Novel Cell-Penetrating Lipopeptide for DNA Binding, Self-Assembly, and Delivery Into HeLa and Pluripotent Stem Cells. [PDF]

J Pept Sci
de Mello LR, Honda TSB, Castelletto V, Alves PT, Han SW, da Silva ER, Hamley IW.   +6 more
europepmc   +1 more source

Role of Side Chains in β-Sheet Self-Assembly into Peptide Fibrils. IR and VCD Spectroscopic Studies of Glutamic Acid-Containing Peptides

, 2016
Fernando Tobias, Timothy A. Keiderling
openalex   +2 more sources

Ice Lithography: Recent Progress Opens a New Frontier of Opportunities

Advanced Functional Materials, EarlyView.
This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang, Gwendoline A. E. Anand, Rubaiyet Haque, Dylan A. Chiaro, Mona Sharma, Andrew R. Williams, Frank Niklaus, Daryl W. Yee, Gavin M. King, Anpan Han   +9 more
wiley   +1 more source