Artur M. Schweidtmann
Orcid: 0000-0001-8885-6847
According to our database1,
Artur M. Schweidtmann
authored at least 33 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on zbmath.org
-
on twitter.com
-
on orcid.org
-
on d-nb.info
On csauthors.net:
Bibliography
2024
Comput. Chem. Eng., February, 2024
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation.
CoRR, 2024
2023
Physical pooling functions in graph neural networks for molecular property prediction.
Comput. Chem. Eng., April, 2023
Learning from flowsheets: A generative transformer model for autocompletion of flowsheets.
Comput. Chem. Eng., March, 2023
Graph neural networks for temperature-dependent activity coefficient prediction of solutes in ionic liquids.
Comput. Chem. Eng., March, 2023
Geometry optimization of a continuous millireactor via CFD and Bayesian optimization.
Comput. Chem. Eng., March, 2023
CoRR, 2023
Mixed-Integer Optimisation of Graph Neural Networks for Computer-Aided Molecular Design.
CoRR, 2023
Data-driven Product-Process Optimization of N-isopropylacrylamide Microgel Flow-Synthesis.
CoRR, 2023
2022
Towards automatic generation of Piping and Instrumentation Diagrams (P&IDs) with Artificial Intelligence.
CoRR, 2022
Graph neural networks for the prediction of molecular structure-property relationships.
CoRR, 2022
Flowsheet synthesis through hierarchical reinforcement learning and graph neural networks.
CoRR, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Math. Program. Comput., 2021
Insight to Gene Expression From Promoter Libraries With the Machine Learning Workflow Exp2Ipynb.
Frontiers Bioinform., 2021
2020
Wavelet-based grid-adaptation for nonlinear scheduling subject to time-variable electricity prices.
Comput. Chem. Eng., 2020
Comput. Chem. Eng., 2020
2019
J. Optim. Theory Appl., 2019
Deterministic global process optimization: Accurate (single-species) properties via artificial neural networks.
Comput. Chem. Eng., 2019
Model-based bidding strategies on the primary balancing market for energy-intense processes.
Comput. Chem. Eng., 2019
2018
Correction to: Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm.
J. Glob. Optim., 2018
Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm.
J. Glob. Optim., 2018
Dynamic modeling and optimization of sustainable algal production with uncertainty using multivariate Gaussian processes.
Comput. Chem. Eng., 2018