Results 111 to 120 of about 4,448,508 (254)
A Modified Multi-Step Crossover Fusion (MSXF) In Solving Some Deterministic Job Shop Scheduling Problem (JSSP) [TS157.5. M214 2008 f rb]. [PDF]
This thesis addresses the job shop scheduling problem (JSSP) with the objective of minimising the makespan value. Tesis ini membincangkan masalah penskedulan kerja kedaian (JSSP) dengan objektif untuk meminimumkan masa ...
Omar, Mahanim
core +1 more source
Supporting AI Readiness Through Digital Workflows in Materials Science
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns +67 more
wiley +1 more source
FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery
We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin +16 more
wiley +1 more source
Solving two production scheduling problems with sequence-dependent set-up times [PDF]
In today s competitive markets, the importance of good scheduling strategies in manufacturing companies lead to the need of developing efficient methods to solve complex scheduling problems.
Helena Ramalhinho-Lourenço +1 more
core
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
Stochastic flow shop scheduling with random machine breakdowns
This paper deals with scheduling problems in m machines permutation flow shop subject to random breakdowns. The processing time of each job on each machine is a random variable.
Zhu YL(朱云龙), Li SF(李素粉)
core
Shellac, a centuries‐old natural resin, is reimagined as a green material for flexible electronics. When combined with silver nanowires, shellac films deliver transparency, conductivity, and stability against humidity. These results position shellac as a sustainable alternative to synthetic polymers for transparent conductors in next‐generation ...
Rahaf Nafez Hussein +4 more
wiley +1 more source
A polynomial algorithm for special case of the one-machine scheduling problem with time-lags [PDF]
The standard one-machine scheduling problem consists in scheduling a set of jobs in one machine which can handle only one job at a time, minimizing the maximum lateness.
Helena Ramalhinho-Lourenço
core
A Predictive-reactive Approach for JSP with Uncertain Processing Times [PDF]
The paper is supported by the Asia-Link project funded by the European Commission (CN/ASIA-LINK/024 (109093)), the National Natural Science Foundation of China (50705076, 50705077), and the National Hi-Tech R&D Program of China (2007AA04Z187)JSP with ...
NIU, Ganggang +3 more
core
ABSTRACT Chitosan, a polysaccharide upcycled from biowaste, has long promised sustainable, biocompatible, and antimicrobial films and devices, an appeal reinforced by its recent regulatory recognition, with several chitosan‐based antibacterial dressings gaining clearance through the Food and Drug Administration's 510(k) pathway.
Jacopo Nicoletti +16 more
wiley +1 more source

