Results 61 to 70 of about 2,664 (142)

High‐Resolution Characterization of Protein‐Conjugated, mRNA‐Loaded Lipid Nanoparticles by Analytical Ultracentrifugation

open access: yesAdvanced Functional Materials, EarlyView.
Lipid nanoparticles containing messenger RNA are characterized by sedimentation velocity analytical ultracentrifugation using UltraScan's new Custom Grid algorithm to provide multi‐dimensional distributions for partial specific volume (particle density), molar mass, sedimentation, diffusion, and hydrodynamic radius.
Sophia Bird   +8 more
wiley   +1 more source

Two-sample statistics based on anisotropic kernels. [PDF]

open access: yesInf inference, 2020
Cheng X, Cloninger A, Coifman RR.
europepmc   +1 more source

Predicting Atomic Charges in MOFs by Topological Charge Equilibration

open access: yesAdvanced Functional Materials, EarlyView.
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi   +2 more
wiley   +1 more source

Enhancing Synaptic Plasticity and Multistate Retention of Organic Neuromorphic Devices Using Anion‐Excessive Gel Electrolyte

open access: yesAdvanced Functional Materials, EarlyView.
Anion‐excessive gel‐based organic synaptic transistors (AEG‐OSTs) that can maintain electrical neutrality are developed to enhance synaptic plasticity and multistate retention. Key improvement is attributed to the maintenance of electrical neutrality in the electrolyte even after electrochemical doping, which reduces the Coulombic force acting on ...
Yousang Won   +3 more
wiley   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

open access: yesAdvanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy   +3 more
wiley   +1 more source

Bioinspired Stabilization of Fluorescent Au@SiO2 Tracers for Multimodal Biological Imaging

open access: yesAdvanced Functional Materials, EarlyView.
This study demonstrates a bioinspired stabilization strategy for fluorescent gold‐silica nanoparticles. Inspired by natural biosilica maturation, high‐temperature calcination transforms the silica shells, preventing dissolution in cell culture media and intracellular environments.
Wang Sik Lee   +5 more
wiley   +1 more source

Frontier Advances of Emerging High‐Entropy Anodes in Alkali Metal‐Ion Batteries

open access: yesAdvanced Functional Materials, EarlyView.
Recent advances in microscopic morphology control of high‐entropy anode materials for alkali metal‐ion batteries. Abstract With the growing demand for sustainable energy, portable energy storage systems have become increasingly critical. Among them, the development of rechargeable batteries is primarily driven by breakthroughs in electrode materials ...
Liang Du   +14 more
wiley   +1 more source

Atomic‐Level Ionic Displacement Polarization Enhanced Piezocatalytic Hydrogen Evolution in Covalent Organic Frameworks

open access: yesAdvanced Functional Materials, EarlyView.
Two isomorphic COFs were synthesized and compared, including an amphoteric COF (SQ‐TAPT) and a neutral COF (PDA‐TAPT). The ionic bonds in SQ‐TAPT introduce more Born effective charges, thereby enhancing its ionic displacement polarization. Experimental and theoretical calculations demonstrated that SQ‐TAPT exhibited higher polarity and stronger ...
Ge Yan   +12 more
wiley   +1 more source

BACH, a Bayesian Optimization Protocol for Accurate Coarse‐Grained Parameterization of Organic Liquids

open access: yesAdvanced Functional Materials, EarlyView.
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu   +3 more
wiley   +1 more source

Reducible KAM Tori for the Degasperis-Procesi Equation. [PDF]

open access: yesCommun Math Phys, 2020
Feola R, Giuliani F, Procesi M.
europepmc   +1 more source

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