Results 121 to 130 of about 129,184 (280)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced 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

<sup>1</sup>H Time Domain Nuclear Magnetic Resonance and Oscillatory Rheology as a Tool for Uncovering the Impact of UV-C Radiation on Polypropylene. [PDF]

open access: yesPolymers (Basel)
Gimenez JCF   +12 more
europepmc   +1 more source

Rapid Sintering of Porous Organic Polymer Powders Into Mechanically Strong Monoliths for Efficient CO2 Capture

open access: yesAdvanced Functional Materials, EarlyView.
Spark plasma sintering enables rapid processing of porous organic polymer (POP) from fine powders to a freestanding and mechanically robust monolith. The sintering process retains the CO2 adsorption capacity and CO2/N2 selectivity, making the monolith more suitable as a solid sorbent for practical carbon capture applications.
Duan Li   +4 more
wiley   +1 more source

Siloxane‐Functionalized Silicon Phthalocyanine OTFTs: High Hole Mobility and Unexpected p‐Type Character

open access: yesAdvanced Functional Materials, EarlyView.
In this paper, the first use of a siloxane‐substituted silicon phthalocyanine (iso(Si3O)2SiPc) in OTFTs is reported. Moreover, this compound displays the highest hole mobility (exceeding 1 cm2 V−1 s−1) ever recorded for SiPc, and the GIWAXS study reveals thin films with an exceptionally uniform crystalline texture.
Nicolas Ledos   +5 more
wiley   +1 more source

Polymer Systems with Correlated Activity: Stars Versus Linear Chains. [PDF]

open access: yesMolecules
Buglakov AI   +4 more
europepmc   +1 more source

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Thermal Phase‐Modulation of Thickness‐Dependent CVD‐Grown 2D In2Se3

open access: yesAdvanced Functional Materials, EarlyView.
A comprehensive study of CVD‐grown 2D In2Se3 reveals a distinct thickness‐dependent phase landscape and a reversible, thermally driven transformation between β″ and β* variants. In situ TEM electron diffraction and Raman spectroscopy reveal structural dynamics, while the structural invariance of the α‐phase in ultrathin regimes highlights its stability—
Dasun P. W. Guruge   +6 more
wiley   +1 more source

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