Results 61 to 70 of about 62,078 (294)

NanoMOF‐Based Multilevel Anti‐Counterfeiting by a Combination of Visible and Invisible Photoluminescence and Conductivity

Advanced Functional Materials, EarlyView.
This study presents novel anti‐counterfeiting tags with multilevel security features that utilize additional disguise features. They combine luminescent nanosized Ln‐MOFs with conductive polymers to multifunctional mixed‐matrix membranes and powder composites. The materials exhibit visible/NIR emission and matrix‐based conductivity even as black bodies.
Moritz Maxeiner, Ruben Maile, Murat Cuvalli, Andreas Wolf, Ayisha Komal, Robert Oestreich, Christoph Janiak, Karl Mandel, Alexander Knebel, Klaus Müller‐Buschbaum   +9 more
wiley   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Logic-Based Benders Decomposition for the Preemptive Flexible Job-Shop Scheduling Problem

SSRN Electronic Journal, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Juvin, Carla, Houssin, Laurent, Lopez, Pierre   +2 more
openaire   +4 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

Solving flexible job shop scheduling using genetic algorithm [PDF]

, 2013
This work addresses a real assembly cell: the AIP-PRIMECA cell at the Université e de Valenciennes et du Hainaut-Cambrésis, in France. This system can be viewed as a Flexible Job Shop, leading to the formulation of a Flexible Job Shop Scheduling Problem (
Barbosa, José, Curralo, Ana, Leitão, Paulo, Pereira, Ana I.   +3 more
core  

Dense Nanofibrillar Collagen–Silica Hybrids with High Strength and ECM‐Mimetic Tissue Integration

Advanced Functional Materials, EarlyView.
Dense nanofibrillar collagen–silica hybrids are engineered by synchronizing collagen fibrillogenesis with silica condensation, producing printable scaffolds that unexpectedly approach native extracellular matrix organization and strength. These cell‐free constructs guide endogenous cell‐infiltration, enable localized matrix remodeling, and integrate ...
Norein Norein, Shima Tavakoli, Philipp Wolf, Xie Ling, Veronica Rondahl, Klaus Leifer, Gry Hulsart‐Billström, Jöns Hilborn   +7 more
wiley   +1 more source

Flexible job shop scheduling using genetic algorithm and heuristic rules

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2016
Job shop scheduling with the availability of more than one machine to perform an operation, also known as the flexible job shop scheduling problem, is computationally NP-hard.
Parinya KAWEEGITBUNDIT, Toru EGUCHI
doaj   +1 more source

Photon Avalanching Nanoparticles: The Next Generation of Upconverting Nanomaterials?

Advanced Functional Materials, EarlyView.
This Perspective outlines the mechanistic foundations that enable photon‐avalanche (PA) behavior in lanthanide nanomaterials and contrasts them with emerging application spaces and forward‐looking design strategies. By bridging threshold engineering, energy‐transfer dynamics, and materials engineering, we provide a coherent roadmap for advancing the ...
Kimoon Lee, Yunseo Kim, Hyeong‐ku Jo, Dongjoon Yoon, Byeonghyeok Im, WonJeong Yu, Eui‐Rim On, Changhwan Lee   +7 more
wiley   +1 more source

Flexible job-shop scheduling problem with parallel batch machines based on an enhanced multi-population genetic algorithm

Complex & Intelligent Systems
The flexible job-shop scheduling problem (FJSP) with parallel batch processing machine (PBM) is one of those long-standing issues that needs cutting-edge approaches. It is a recent extension of standard flexible job shop scheduling problems.
Lirui Xue, Shinan Zhao, Amin Mahmoudi, Mohammad Reza Feylizadeh   +3 more
doaj   +1 more source

Many-Objective Flexible Job Shop Scheduling Problem with Green Consideration

Energies, 2022
With the increasingly customized product requirements of customers, the manufactured products have the characteristics of multi-variety and small-batch production.
Yanwei Sang, Jianping Tan
doaj   +1 more source