Results 211 to 220 of about 1,195,901 (281)

Two stage malware detection model in internet of vehicles (IoV) using deep learning-based explainable artificial intelligence with optimization algorithms. [PDF]

Sci Rep
Alohali MA, Alahmari S, Aljebreen M, Asiri MM, Miled AB, Albouq SS, Alrusaini O, Alqazzaz A.   +7 more
europepmc   +1 more source

Electron–Matter Interactions During Electron Beam Nanopatterning

Advanced Functional Materials, EarlyView.
This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima, Prathiba Thamizhavel, Taylor J. Woehl   +2 more
wiley   +1 more source

Inverse design of nanophotonic devices enabled by optimization algorithms and deep learning: recent achievements and future prospects. [PDF]

Nanophotonics
Kim J, Kim JY, Kim J, Hyeong Y, Neseli B, You JB, Shim J, Shin J, Park HH, Kurt H.   +9 more
europepmc   +1 more source

In Materia Shaping of Randomness with a Standard Complementary Metal‐Oxide‐Semiconductor Transistor for Task‐Adaptive Entropy Generation

Advanced Functional Materials, EarlyView.
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak, Ryun‐Han Koo, Youngchan Cho, Changhyeon Han, Dongbin Kim, Soi Jeong, Yunho Shin, Joonhyeok Choi, Jiseong Im, Jonghyun Ko, Jong‐Ho Lee, Jangsaeng Kim, Youngho Kang, Wonjun Shin, Daewoong Kwon   +14 more
wiley   +1 more source

Enhanced vehicle routing for medical waste management via hybrid deep reinforcement learning and optimization algorithms. [PDF]

Front Artif Intell
Khallaf N, Abd-El Rouf O, Algarni AD, Hadhoud M, Kafafy A.   +4 more
europepmc   +1 more source

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

Advanced Functional Materials, EarlyView.
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken, K. Ashoke Raman, Alexander Bauer, Violeta Karyofylli, Eva Jodat, André Karl, Rüdiger‐A. Eichel   +6 more
wiley   +1 more source

A novel approach for the router nodes placement in wireless mesh networks using phasing with approximation optimization algorithms. [PDF]

PLoS One
Binh LH, T Duong TV, M Ngo V.
europepmc   +1 more source

Gram‐Scale Production of Iron Oxide Rubik‐Cube Nanoparticles: New Tools for the Clinical Translation of Magnetic Hyperthermia and Magnetic Particle Imaging

Advanced Functional Materials, EarlyView.
This work reports the first gram‐scale solvothermal synthesis of ‘Rubik's cube’ nanoparticles—cubic, dendritic multicore structures with tuneable sizes and exceptional magnetic heating performance. Featuring iron oxide single‐domain character, with low coercivity fields, high magnetization, and strong MPI signals, they enable viscosity‐independent ...
Giusy M. R. Rizzo, Niccolò Silvestri, Nabila Jarmouni, Helena Gavilán, Hamza Yakubu, Daniel Arenas‐Esteban, Sara Bals, Paola Parlanti, Mauro Gemmi, Ross Clark Prado, Anna Cristina S. Samia, Verónica Salgueiriño, Teresa Pellegrino   +12 more
wiley   +1 more source

Influence of Optimization Algorithms and Computational Complexity on Concrete Compressive Strength Prediction Machine Learning Models for Concrete Mix Design. [PDF]

Materials (Basel)
Ziolkowski P.
europepmc   +1 more source

High‐Resolution Characterization of Protein‐Conjugated, mRNA‐Loaded Lipid Nanoparticles by Analytical Ultracentrifugation

Advanced Functional Materials, EarlyView.
Lipid nanoparticles containing messenger RNA are characterized by sedimentation velocity analytical ultracentrifugation using UltraScan's new Custom Grid algorithm to provide multi‐dimensional distributions for partial specific volume (particle density), molar mass, sedimentation, diffusion, and hydrodynamic radius.
Sophia Bird, Connor Smith, Nahal Habibi, Samantha Rivera, Saeed Mortezazadeh, Reece Martin, Benjamin M. Geilich, Gilles Besin, Borries Demeler   +8 more
wiley   +1 more source