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
GA-HPO PPO: A Hybrid Algorithm for Dynamic Flexible Job Shop Scheduling. [PDF]
Zhou Y +6 more
europepmc +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
Desenvolvimento de um sistema inteligente de geração de planos de sequenciamento aplicado a manufatura do tipo flow-shop [PDF]
Wilhelm, Volmir Eugenio
core
Solving the flexible job-shop scheduling problem by immune genetic algorithm
Analyzing the model of the flexible job-shop scheduling problem(FJSP),an immune genetic algorithm(IGA) is proposed to solve the problem. This algorithm preserves the random global search ability of simple genetic algorithm(SGA), and introduces the immune
Zhu YL(朱云龙) +2 more
core
Hybrid Grey Wolf Optimizer with discrete prism dispersion strategy for solving flexible job-shop scheduling problem. [PDF]
Duan Y, Shi L, Li M, Hua K, Liu T, He L.
europepmc +1 more source
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
AI-Driven Digital Twins for Manufacturing: A Review Across Hierarchical Manufacturing System Levels. [PDF]
Nguyen P, Kim M, Nichols E, Yoon HS.
europepmc +1 more source
PUF/ENB microcapsules were synthesized based on a sequential factorial design and incorporated into an epoxy matrix. Their anticorrosive action, associated with the self‐healing mechanism, demonstrated that the addition of microcapsules to the coating improved anticorrosive performance compared to pure epoxy coatings, particularly when the encapsulate ...
Vandicleya Alves Moreira +6 more
wiley +1 more source
A multi objective collaborative reinforcement learning algorithm for flexible job shop scheduling. [PDF]
Li J, Li S, He P, Li H.
europepmc +1 more source

