001017559 001__ 1017559 001017559 005__ 20231124201900.0 001017559 037__ $$aFZJ-2023-04199 001017559 041__ $$aEnglish 001017559 1001_ $$0P:(DE-Juel1)179506$$aHilgers, Robin$$b0$$eCorresponding author$$ufzj 001017559 245__ $$aWorkflow, data processing, data analysis and predictive ML scripts used for DFT-integrated machine learning methodology in combination with the FLAPW code FLEUR 001017559 250__ $$av1 001017559 260__ $$c2023 001017559 3367_ $$2DCMI$$aSoftware 001017559 3367_ $$0PUB:(DE-HGF)33$$2PUB:(DE-HGF)$$aSoftware$$bsware$$msware$$s1700820840_5330 001017559 3367_ $$2BibTeX$$aMISC 001017559 3367_ $$06$$2EndNote$$aComputer Program 001017559 3367_ $$2ORCID$$aOTHER 001017559 3367_ $$2DataCite$$aSoftware 001017559 500__ $$aMIT License 001017559 520__ $$aThis code collection contains the Jupyter Notebooks, which were used to implement an integrated machine learning approach into AiiDA workflows, including submission scripts, the integrated machine-learning training, selection and prediction scripts, the processed data in a tabular form, the corresponding analysis, and visualization scripts and the integrated machine learning predictions and metrics themselves for each batch. The methodology has been used on magnetic 2D films with at most three 3d transition metal layers on five FCC noble metal substrate layers. The purpose of this publication is to encourage and enable other scientists to implement the method and workflow of integrated machine learning, as described in our upcoming paper, themselves for their respective applications and ab initio codes.This work was performed as part of the Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE) and received funding from the Helmholtz Association of German Research Centres. 001017559 536__ $$0G:(DE-HGF)POF4-1212$$a1212 - Materials and Interfaces (POF4-121)$$cPOF4-121$$fPOF IV$$x0 001017559 536__ $$0G:(DE-Juel1)HDS-LEE-20190612$$aHDS LEE - Helmholtz School for Data Science in Life, Earth and Energy (HDS LEE) (HDS-LEE-20190612)$$cHDS-LEE-20190612$$x1 001017559 65017 $$0V:(DE-MLZ)GC-1604-2016$$2V:(DE-HGF)$$aMagnetic Materials$$x0 001017559 7001_ $$0P:(DE-Juel1)131042$$aWortmann, Daniel$$b1$$ufzj 001017559 7001_ $$0P:(DE-Juel1)130548$$aBlügel, Stefan$$b2$$ufzj 001017559 8564_ $$uhttps://zenodo.org/records/10056614 001017559 8564_ $$uhttps://juser.fz-juelich.de/record/1017559/files/Code.zip$$yRestricted 001017559 909CO $$ooai:juser.fz-juelich.de:1017559$$pVDB 001017559 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)179506$$aForschungszentrum Jülich$$b0$$kFZJ 001017559 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131042$$aForschungszentrum Jülich$$b1$$kFZJ 001017559 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)130548$$aForschungszentrum Jülich$$b2$$kFZJ 001017559 9131_ $$0G:(DE-HGF)POF4-121$$1G:(DE-HGF)POF4-120$$2G:(DE-HGF)POF4-100$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-1212$$aDE-HGF$$bForschungsbereich Energie$$lMaterialien und Technologien für die Energiewende (MTET)$$vPhotovoltaik und Windenergie$$x0 001017559 9141_ $$y2023 001017559 9201_ $$0I:(DE-Juel1)IAS-1-20090406$$kIAS-1$$lQuanten-Theorie der Materialien$$x0 001017559 9201_ $$0I:(DE-Juel1)PGI-1-20110106$$kPGI-1$$lQuanten-Theorie der Materialien$$x1 001017559 980__ $$asware 001017559 980__ $$aVDB 001017559 980__ $$aI:(DE-Juel1)IAS-1-20090406 001017559 980__ $$aI:(DE-Juel1)PGI-1-20110106 001017559 980__ $$aUNRESTRICTED