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 +7 more
wiley +1 more source
Hybrid Task-Driven and SPOC in Enhancing Students’ Computational Thinking
, 2020 Chaoyan Zhu, Shi-ting WEN, Jinqiu Yang
openalex +1 more source
Covalent Organic Frameworks for Water Sorption: The Importance of Framework Physical Stability
Advanced Functional Materials, EarlyView.This study explores the water‐vapor stability of 2D covalent organic frameworks (COFs) with varying pore sizes. Results reveal microporous COFs demonstrate superior stability compared to mesoporous ones, despite lower water uptake. Mesoporous keto‐enamine‐linked COFs show enhanced stability due to intralayer hydrogen bonds, confirmed by simulations and
Wei Zhao +13 more
wiley +1 more source
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 +9 more
wiley +1 more source
A Review on MXene Terminations
Advanced Functional Materials, EarlyView.Surface terminations play a decisive role in determining the properties of MXenes. Their coordination, composition and stoichiometry can be tuned both during synthesis and through post synthesis methods to tailor MXenes for optimum performance in applications. This review explores the present understanding of surface terminations.
Hari Hara Sudhan Thangavelu +4 more
wiley +1 more source
Inducing Chirality and Chiral Instabilities in Ferrogels with Homogenous Magnetic Fields
Advanced Functional Materials, EarlyView.By pre‐aligning magnetic particles into chains, significant chiral deformations are induced by fixing the base of a cylindrical actuator and applying a homogeneous magnetic field. Subsequent base rotation can drive the system into metastable states. Further rotation or reduction of field strength triggers a chiral instability, characterized by a switch
Francisco J. Vazquez‐Perez +4 more
wiley +1 more source
A critical examination of the underlying causes of the gender gap in STEM and the influence of computational thinking projects applied in secondary school on STEM Higher Education [PDF]
Sofía González-Gallego +4 more
openalex +1 more source
Peptide Sequencing With Single Acid Resolution Using a Sub‐Nanometer Diameter Pore
Advanced Functional Materials, EarlyView.To sequence a single molecule of Aβ1−42–sodium dodecyl sulfate (SDS), the aggregate is forced through a sub‐nanopore 0.4 nm in diameter spanning a 4.0 nm thick membrane. The figure is a visual molecular dynamics (VMD) snapshot depicting the translocation of Aβ1−42–SDS through the pore; only the peptide, the SDS, the Na+ (yellow/green) and Cl− (cyan ...
Apurba Paul +8 more
wiley +1 more source
Unlocking insights: A comprehensive dataset analysis on the acceptance of computational thinking skills among undergraduate university students through the lens of extended technology acceptance model, HTMT, covariance-based SEM, and SmartPLS. [PDF]
Data BriefRosli MS +4 more
europepmc +1 more source