Results 151 to 160 of about 18,793 (244)
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
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
Secure data transmission through fractal-based cryptosystem: a Noor iteration approach. [PDF]
Negi D, Kumar R, Kumar V, Dhaka A.
europepmc +1 more source
Inter–Intra Molecular Dynamics as an Iterated Function System [PDF]
Kunihiko Kaneko
openalex +1 more source
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
A hybrid multi-level ant colony optimization framework for integrated production scheduling and vehicle routing. [PDF]
Ashour M +3 more
europepmc +1 more source
A closed graph theorem for hyperbolic iterated function systems
Alexander Mundey
openalex +1 more source
Ice Lithography: Recent Progress Opens a New Frontier of Opportunities
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

