talkI. Burke, S. Derkum, T.O.O. Olusanya, N. Kockmann

Smart sensor for emulsification process characterization and control

Annual Meeting of Process Engineering and Materials Technology 2024 - PEMT 2024, 11.-12112024, Frankfurt am Main, Germany

talkI. Burke, L. Brockerhoff, N. Kockmann

AI-based performance investigation of a dynamic micro mixer for thermal-controlled emulsification processes

International Conference in Microreaction Technology - IMRET 17, 27.-30102024, Graz, Austria

talkI. Burke, V. Ravi, N. Kockmann, C. Damerau

Dynamic Micromixing for Lithiations and Emulsification

ACHEMA 2024, 10.-14062024, Frankfurt am Main, Germany

posterM. Schmitz, A. Karsli, N. Kockmann

Modular agitated mini-reactor for liquid-liquid reactions

Annual Meeting on Reaction Engineering and Electrochemical Processes 2024, 6.-8.05.2024, Würzburg, Germany

talkA. S. Behr, H. Borgelt, N. Kockmann

Ontologies as base for data integration in process engineering – Update from NFDI4Cat

Digitale Technologien in Anlagenbau, Betrieb und Service, 20.02.2024, Frankfurt am Main, Germany

journalI. Burke, S. Salzer, S. Stein, T.O.O. Olusanya, O.F. Thiel, N. Kockmann

AI-based integrated smart process sensor for emulsion control in industrial application

Processes, 2024, vol. 12, p. 1821, https://doi.org/10.3390/pr12091821

journalI. Burke, T. Dhayaparan, A.S. Youssef, K. Schmidt, N. Kockmann

Two deep learning methods in comparison to characterize droplet sizes in emulsification flow processes

Journal of Flow Chemistry, 2024, vol. 14, p. 597 - 613, https://doi.org/10.1007/s41981-024-00330-3

journalI. Burke, C. Assies, N. Kockmann

Rapid prototyping of a modular optical flow cell for image-based droplet size measurements in emulsification processes

Journal of Flow Chemistry, 2024, vol. 14, p. 515- 528, https://doi.org/10.1007/s41981-024-00323-2

proceedingN. Kockmann, A. S. Behr, H. Borgelt, M. Dörr, D. Linke, N. G. Moustakas, M. Khatamirad, S. A. Schunk, S. Hanf, E. Norouzi, E. Saraci, M. Heßelmann, S. Zimmer, F. Wiesner, M. Wessling, T. Petrenko, Y. Dikova, R. Khare, A. Trunschke, J. Schumann, S. Angeli,

Ontology-based Data Management and Interoperability: Workflow for Catalysis and Process Research Data

Whitepaper, Zenodo, 2024, https://doi.org/10.5281/zenodo.10932849

journalA. S. Behr, H. Borgelt, N. Kockmann

Reac4Cat-Ontology: Harnessing the power of ontological description logic in catalysis research as a practical approach to knowledge inferences

Datenbank-Spektrum, 2024, vol. 24, p. 139, https://doi.org/10.1007/s13222-024-00476-3

journalA. S. Behr, J. Surkamp, E. Abbaspour, M. Häußler, S. Lütz, J. Pleiss, N. Kockmann, K. Rosenthal

Fluent integration of laboratory data into biocatalytic process simulation using EnzymeML, DWSIM, and ontologies,

Processes, 2024, vol. 12, p. 597, https://doi.org/10.3390/pr12030597

journalA. S. Behr, H. Borgelt, N. Kockmann

Ontologies4Cat: Investigating the landscape of ontologies for catalysis research data management,

Journal of Cheminformatics, 2024, vol. 16, p. 16, https://doi.org/10.1186/s13321-024-00807-2

journalR. Dinter, L. Helwes, S. de Vries, K. Jegatheeswaran, H. Jibben, N. Kockmann

3D‑printed open‑source sensor flow cells for microfluidic temperature, electrical conductivity, and pH value determination

Journal of Flow Chemistry, 2024, https://doi.org/10.1007/s41981-024-00319-y

posterA. S. Behr, E. Abbaspour, D. Chernenko, N. Kockmann

Automating research data annotation with ontologies - Current workflows

Annual Digital Catalysis & Catalysis-Related Sciences Conference 2023, 02.-03.11.2023, Frankfurt am Main, Germany

talkA. S. Behr, H. Borgelt, N. Kockmann

Collecting metadata of ontologies for catalysis research – A ‘universal’ approach

Annual Digital Catalysis & Catalysis-Related Sciences Conference 2023, 02.-03.112023, Frankfurt am Main, Germany

talkA. S. Behr, E. Abbaspour, N. Kockmann

Process simulation of biocatalytic reactions supported by ontology-based laboratory data acquisition

4th EnzymeML Workshop - Beilstein Enzymology Symposium 2023, 25.-27.09.2023, Rüdesheim, Germany

talkA. S. Behr, E. Abbaspour, N. Kockmann

Process simulation of biocatalytic reactions supported by ontology-based laboratory data acquisition

14th European Congress of Chemical Engineering and 7th European Congress of Applied Biotechnology, 17.-21.09.2023, Berlin, Germany

posterA. S. Behr, E. Abbaspour, K. Rosenthal, J. Pleiss, N. Kockmann

Ontology-based laboratory data acquisition with EnzymeML for process simulation of biocatalytic reactors,

1st Conference on Research Data Infrastructure (CoRDI) - Connecting Communities, 12.-14.09.2023, Karlsruhe, Germany

talkA. S. Behr, H. Borgelt, T. Petrenko, M. Dörr, N. Kockmann

Investigating the landscape of ontologies for catalysis research data management

1st Conference on Research Data Infrastructure (CoRDI) - Connecting Communities, 12.-14.09.2023, Karlsruhe, Germany

talkI. Burke, N. Kockmann

Artificial Intelligence (AI)-based Optical Sensors for an Emulsification Process

14. European Congress of Chemical Engineering and 7. European Congress of Applied Biotechnology - ECCE 14 & ECAB 7, 17.-21092023, Berlin, Germany

Smart sensor for emulsification process characterization and control

AI-based performance investigation of a dynamic micro mixer for thermal-controlled emulsification processes

Dynamic Micromixing for Lithiations and Emulsification

Modular agitated mini-reactor for liquid-liquid reactions

Ontologies as base for data integration in process engineering – Update from NFDI4Cat

AI-based integrated smart process sensor for emulsion control in industrial application

Two deep learning methods in comparison to characterize droplet sizes in emulsification flow processes

Rapid prototyping of a modular optical flow cell for image-based droplet size measurements in emulsification processes

Ontology-based Data Management and Interoperability: Workflow for Catalysis and Process Research Data

Reac4Cat-Ontology: Harnessing the power of ontological description logic in catalysis research as a practical approach to knowledge inferences

Fluent integration of laboratory data into biocatalytic process simulation using EnzymeML, DWSIM, and ontologies,

Ontologies4Cat: Investigating the landscape of ontologies for catalysis research data management,

3D‑printed open‑source sensor flow cells for microfluidic temperature, electrical conductivity, and pH value determination

Automating research data annotation with ontologies - Current workflows

Collecting metadata of ontologies for catalysis research – A ‘universal’ approach

Process simulation of biocatalytic reactions supported by ontology-based laboratory data acquisition

Process simulation of biocatalytic reactions supported by ontology-based laboratory data acquisition

Ontology-based laboratory data acquisition with EnzymeML for process simulation of biocatalytic reactors,

Investigating the landscape of ontologies for catalysis research data management

Artificial Intelligence (AI)-based Optical Sensors for an Emulsification Process

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