Artur M. Schweidtmann
Orcid: 0000-0001-8885-6847
According to our database1,
Artur M. Schweidtmann
authored at least 35 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on twitter.com
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on orcid.org
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on d-nb.info
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Bibliography
2024
Comput. Chem. Eng., February, 2024
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation.
CoRR, 2024
Mixed-integer optimisation of graph neural networks for computer-aided molecular design.
Comput. Chem. Eng., 2024
2023
Supplementary information to "What does ChatGPT know about natural science and engineering?".
Dataset, September, 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
Software for "Physical Pooling Functions in Graph Neural Networks for Molecular Property Prediction".
Dataset, January, 2023
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