3 Publikationen
2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 10216 | 
Fulek, Ruwen ; Ramm, Selina ; Kiera, Christian ; Pein-Hackelbusch, Miriam ; Odefey, Ulrich: A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions. In: Pharmaceutics Bd. 15. Basel, MDPI (2023), Nr. 8
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2023 | Konferenz - Vortrag | ELSA-ID: 9627
Ramm, Selina ; Fulek, Ruwen ; Eberle, Veronika Anna ; Kiera, Christian ; Odefey, Ulrich ; Pein-Hackelbusch, Miriam: Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation, 2023
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2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 9568 |
Ramm, Selina ; Fulek, Ruwen ; Eberle, Veronika Anna ; Kiera, Christian ; Odefey, Ulrich ; Pein-Hackelbusch, Miriam: Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation. In: Pharmaceutics Bd. 14. Basel, MDPI (2022), Nr. 11
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3 Publikationen
2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 10216 |
Fulek, Ruwen ; Ramm, Selina ; Kiera, Christian ; Pein-Hackelbusch, Miriam ; Odefey, Ulrich: A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions. In: Pharmaceutics Bd. 15. Basel, MDPI (2023), Nr. 8
ELSA
| DOI
| Download (ext.)
| WoS
| PubMed | Europe PMC
2023 | Konferenz - Vortrag | ELSA-ID: 9627
Ramm, Selina ; Fulek, Ruwen ; Eberle, Veronika Anna ; Kiera, Christian ; Odefey, Ulrich ; Pein-Hackelbusch, Miriam: Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation, 2023
ELSA
2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 9568 |
Ramm, Selina ; Fulek, Ruwen ; Eberle, Veronika Anna ; Kiera, Christian ; Odefey, Ulrich ; Pein-Hackelbusch, Miriam: Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation. In: Pharmaceutics Bd. 14. Basel, MDPI (2022), Nr. 11
ELSA
| DOI
| Download (ext.)
| WoS
| PubMed | Europe PMC