Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Christian Kunkel"'
Publikováno v:
Journal of Engineered Fibers and Fabrics, Vol 18 (2023)
Up to now, when measuring the cleaning effect of ultrasound, it has generally been only possible to record combinations of different influencing variables corresponding to the parameters of Sinner’s circle. These parameters are temperature, chemist
Externí odkaz:
https://doaj.org/article/47082dba47af488d9d418d80b6f79b1c
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Existing methods for organic semiconductor computational screening are limited by the computational demand of the process, leading to the identification of non-optimal material candidates. Here, the authors report machine learning method to guide the
Externí odkaz:
https://doaj.org/article/17214865234d479bbb2f2a156defa811
Autor:
Silas Mütschard, Jan Werner, Christian Kunkel, Maximilian Karl, Heinz-Peter Schiffer, Christoph Biela, Sebastian Robens
Publikováno v:
Journal of the Global Power and Propulsion Society. 6:304-317
In this paper we give insight into characteristics of a 1.5-stage transonic axial compressor rig with focus on surge during a stalled operating point. The new compressor rig at TU Darmstadt is representative for the front stage of an industrial gas t
Publikováno v:
Energy Efficiency. 16
In the past few years, small household devices have appeared on the market for ultrasonic cleaning of textiles. In this study, the focus is on devices that can be immersed in a water tub for cleaning textiles by ultrasonics. These new devices were te
Publikováno v:
Chemical Science
Machine learning (ML) has been widely applied to chemical property prediction, most prominently for the energies and forces in molecules and materials. The strong interest in predicting energies in particular has led to a local energy-based paradigm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44c67afd5814c576470d04a11589bf70
https://doi.org/10.26434/chemrxiv-2023-h9qdj
https://doi.org/10.26434/chemrxiv-2023-h9qdj
Autor:
Peter-Christian Kunkel
Publikováno v:
unsere jugend. 74:400-402
Publikováno v:
Tenside Surfactants Detergents. 59:168-175
The effect of three handheld ultrasonic devices for the pretreatment of stains on textiles was evaluated under household conditions. Twenty soiled textiles were treated and the mean increase of lightness ΔL* of the soiled textiles was used as a meas
Publikováno v:
Digital Discovery
The molecular reorganization energy $\lambda$ strongly influences the charge carrier mobility of organic semiconductors and is therefore an important target for molecular design. Machine learning (ML) models generally have the potential to strongly a
Publikováno v:
Chemistry of Materials
The computational discovery of novel materials has been one of the main motivations behind research in theoretical chemistry for several decades. Despite much effort, this is far from a solved problem, however. Among other reasons, this is due to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22a77ef7f509f302ba690c3ea903b854
https://hdl.handle.net/21.11116/0000-000B-FED8-421.11116/0000-000B-FEDA-2
https://hdl.handle.net/21.11116/0000-000B-FED8-421.11116/0000-000B-FEDA-2