Advanced Functional Materials, EarlyView.A previously unreported coordination motif stabilising single Fe atoms by indigo chelation and pyridyl coordination on Au(111) has been revealed. By using planar tritopic pyridyl linkers (TPyB), extended 2D porous networks of indigo3(TPyB)2Fe6 form. These networks can be crystalline or vitreous and offer an environment where individual coordination ...
Hongxiang Xu +9 more
wiley +1 more source
Editorial: Diagnostic and predictive roles of computational cardiovascular hemodynamics in the management of cardiovascular diseases. [PDF]
Front Bioeng BiotechnolLiang F, Qiao Y, Perpetuini D, Ho H.
europepmc +1 more source
Photoswitching Conduction in Framework Materials
Advanced Functional Materials, EarlyView.This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez +4 more
wiley +1 more source
Observation of redistribution for local conformational dynamics in cross-reactive antibody design. [PDF]
J BiochemYasuda Y +6 more
europepmc +1 more source
MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
Advanced Functional Materials, EarlyView.Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley +1 more source
Author Correction: Generalizable and scalable protein stability prediction with rewired protein generative models. [PDF]
Nat CommunLi Z, Luo Y.
europepmc +1 more source
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
Retraction Note: Computational simulation for MHD peristaltic transport of Jeffrey fluid with density-dependent parameters. [PDF]
Sci RepIbrahim MG, Abou-Zeid MY.
europepmc +1 more source
Advanced Functional Materials, EarlyView.This review systematically highlights the latest achievements in mixed‐valence states relevant to hydrogen and oxygen evolution reactions, providing essential insights into future directions and methods for large‐scale practical implementation. This critical review is expected to provide an overview of recent advancements in diverse valence‐state metal
Jitendra N. Tiwari +4 more
wiley +1 more source
Editorial: Animal biomechanics: application of biomedical engineering to veterinary sciences for animal healthcare, volume II. [PDF]
Front Vet SciMalvè M, Fernández-Parra R.
europepmc +1 more source