Results 201 to 210 of about 1,200,886 (290)

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

Iterative method for predistortion of MRI gradient waveforms. [PDF]

open access: yesIEEE Trans Med Imaging, 2014
Harkins KD, Does MD, Grissom WA.
europepmc   +1 more source

Three-step iterative methods with optimal eighth-order convergence

open access: green, 2011
Alicia Cordero   +2 more
openalex   +2 more sources

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

open access: yesAdvanced Functional Materials, EarlyView.
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim   +7 more
wiley   +1 more source

Iterative methods in structural dynamics

open access: diamond
Majudin Muratović, Faris Trešnjo
openalex   +1 more source

Parameters Extraction of a Single-Diode Model of Photovoltaic Cell Using False Position Iterative Method

open access: diamond, 2021
Mohammed Rasheed   +3 more
openalex   +1 more source

Ice Lithography: Recent Progress Opens a New Frontier of Opportunities

open access: yesAdvanced 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

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