%0 Conference Paper %1 uhrichusing %A Uhrich, Benjamin %A Schäfer, Martin %A Theile, Oliver %A Rahm, Erhard %B Progress in Digital and Physical Manufacturing %D 2022 %K area_bigdata topic_physchemistry %T Using Physics-Informed Machine Learning to Optimize 3D Printing Processes

@inproceedings{uhrichusing, added-at = {2024-09-10T11:56:37.000+0200}, author = {Uhrich, Benjamin and Sch{\"a}fer, Martin and Theile, Oliver and Rahm, Erhard}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/20e56a32d8e20a8ae4875816745340b97/scadsfct}, booktitle = {Progress in Digital and Physical Manufacturing}, interhash = {0794ba8e74a222f91076480a3cce3b14}, intrahash = {0e56a32d8e20a8ae4875816745340b97}, keywords = {area_bigdata topic_physchemistry}, timestamp = {2024-12-06T14:36:51.000+0100}, title = {Using Physics-Informed Machine Learning to Optimize 3D Printing Processes}, year = 2022 }