A5055113073- Ionic liquids properties and applications
- Electrochemical Analysis and Applications
- Machine Learning in Materials Science
- Computational Drug Discovery Methods
- Flexible and Reconfigurable Manufacturing Systems
- Scheduling and Optimization Algorithms
- Reinforcement Learning in Robotics
RWTH Aachen University
2022-2023
The field of Neural Combinatorial Optimization (NCO) offers multiple learning-based approaches to solve well-known combinatorial optimization tasks such as Traveling Salesman or Knapsack problem capable competing with classical in terms both solution quality and speed. This brought the attention research community Manufacturing Control (MC) nature. In this paper we outline main components MC tasks, select most promising application fields analyze dedicated solutions available literature. We...
Ionic liquids (ILs) are important solvents for sustainable processes and predicting activity coefficients (ACs) of solutes in ILs is needed. Recently, matrix completion methods (MCMs), transformers, graph neural networks (GNNs) have shown high accuracy ACs binary mixtures, superior to well-established models, e.g., COSMO-RS UNIFAC. GNNs particularly promising here as they learn a molecular graph-to-property relationship without pretraining, typically required are, unlike MCMs, applicable...