Results 191 to 200 of about 749,781 (256)

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

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

Predicting visual field boundaries from head features. [PDF]

open access: yesJ Opt Soc Am A Opt Image Sci Vis
Nakade U, Spitschan M.
europepmc   +1 more source

Golden‐Ratio–Guided Aperiodic Architected Metamaterials with Simultaneously Enhanced Strength and Toughness

open access: yesAdvanced Functional Materials, EarlyView.
Guided by the golden ratio, a class of aperiodic architected metamaterials is introduced to address the intrinsic trade‐off between strength and toughness. By unifying local geometric heterogeneity with global order, the golden‐ratio‐guided aperiodic architecture promotes spatial delocalization of damage tolerence regions, leading to more tortuous ...
Junjie Deng   +9 more
wiley   +1 more source

Nodular fasciitis of the sphenoid sinus presenting with a visual field defect: A case report. [PDF]

open access: yesSurg Neurol Int
Matsuoka G   +8 more
europepmc   +1 more source

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