Results 161 to 170 of about 797,910 (276)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced 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, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Vibrational spectrum of Granular packings with random matrices. [PDF]

Eur Phys J E Soft Matter
Narayan O, Mathur H.
europepmc   +1 more source

A Termite‐Inspired Alternative to Cement

Advanced Functional Materials, EarlyView.
A termite‐inspired composite of clay, cellulose, and lignin forms a dense fibrous network with concrete‐like strength (32 MPa) and superior elasticity, processed at ambient temperature. Abstract Clay combined with organic materials is used by termites as a strong and durable construction material for their mounds with minimal environmental impact. Here,
Oren Regev, Peter Fratzl, Emeline Raguin, Markus Antonietti   +3 more
wiley   +1 more source

Norms of structured random matrices. [PDF]

Math Ann
Adamczak R, Prochno J, Strzelecka M, Strzelecki M.   +3 more
europepmc   +1 more source

Third-Order Phase Transition: Random Matrices and Screened Coulomb Gas with Hard Walls. [PDF]

J Stat Phys, 2019
Cunden FD, Facchi P, Ligabò M, Vivo P.
europepmc   +1 more source

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

Advanced 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, Xinxin Wang, Ruochao Zhao, Zhendong Li, Kai Liu, Ke Yuan, Jia An, Xinwei Li, Chee Kai Chua, Zhonggang Wang   +9 more
wiley   +1 more source

Sparsity estimation from compressive projections via sparse random matrices. [PDF]

EURASIP J Adv Signal Process, 2018
Ravazzi C, Fosson S, Bianchi T, Magli E.
europepmc   +1 more source

Three‐dimensional Antimony Sulfide Based Flat Optics

Advanced Functional Materials, EarlyView.
This work presents the development of a grayscale electron beam lithography (g‐EBL) method for fabricating antimony trisulfide (Sb2S3) nanostructures with customizable 3D profiles. The refractive index of g‐EBL patterned Sb2S3 is determined based on the synergy of genetic algorithm and transfer matrix method.
Wei Wang, Uwe Hübner, Anne Gärtner, Tao Chen, Joseph Köbel, Franka Jahn, Daniel Repp, Abhrodeep Dey, Henrik Schneidwind, Andrea Dellith, Jan Dellith, Torsten Wieduwilt, Matthias Zeisberger, Tanveer Ahmed Shaik, Astrid Bingel, Markus A. Schmidt, Jer‐Shing Huang, Ulf Peschel, Volker Deckert   +18 more
wiley   +1 more source

Characteristic polynomials of sample covariance matrices: The non-square case

Open Mathematics, 2010
Kösters Holger
doaj   +1 more source

Eigenvalue spectra of large correlated random matrices. [PDF]

Phys Rev E, 2016
Kuczala A, Sharpee TO.
europepmc   +1 more source