Results 261 to 270 of about 8,436,612 (364)

Arbitrary unitarily invariant random matrix ensembles and supersymmetry [PDF]

, 2006
Thomas Guhr
openalex   +1 more source

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

Advanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva, Giulio Fatti, Emanuel Carlos, Guilherme Ferreira, Sumita Goswami, Suman Nandy, Luiz H. C. Mattoso, Elvira Fortunato, Caio G. Otoni, Rodrigo Martins   +9 more
wiley   +1 more source

A global test for gene-gene interactions based on random matrix theory. [PDF]

Genet Epidemiol, 2016
Frost HR, Amos CI, Moore JH.
europepmc   +1 more source

Multicolor Optoelectronic Synapse Enabled by Photon‐Modulated Remote Doping in Solution‐Processed Van Der Waals Heterostructures

Advanced Functional Materials, EarlyView.
Multicolor optoelectronic synapses are realized by vertically integrating solution‐processed MoS2 thin‐film and SWCNT. The electronically disconnected but interactive MoS2 enables photon‐modulated remote doping, producing a bi‐directional photoresponse.
Jihyun Kim, Hyunbin Kim, Gang Jin Cheon, Dohyun Lee, In Soo Kim, Uiyeon Won, Jongseok Lee, Sang Min Won, Joohoon Kang   +8 more
wiley   +1 more source

Random matrix approach to the distribution of genomic distance. [PDF]

J Comput Biol, 2014
Alexeev N, Zograf P.
europepmc   +1 more source

Supersymmetry in Random Matrix Theory

, 2010
Die Untersuchung des Verhältnisses zwischen der Supersymmetrie und der Zufallsmatrixtheorie steht im Mittelpunkt dieser Arbeit. Es wird die Supersymmetriemethode verallgemeinert. Weiterhin werden drei neue Berechnungsmethoden von Eigenwertkorrelationsfunktionen entwickelt.
openaire   +2 more sources

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

Random Convolutional Coding for Robust and Straggler Resilient Distributed Matrix Computation.

, 2019
Anindya Bijoy Das, Aditya Ramamoorthy, Namrata Vaswani   +2 more
openalex   +1 more source

Concentration of quantum channels with random Kraus operators via matrix Bernstein inequality [PDF]

Motohisa Fukuda
openalex   +1 more source

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

Advanced 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, Hanseok Seo, Taesung Park, Byung Ku Jung, Junhyeok Park, Young Kyun Choi, Dae Yang Oh, Soong Ju Oh   +7 more
wiley   +1 more source