Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Matteo Krüger"'
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-17 (2024)
Abstract Kinetic process models are widely applied in science and engineering, including atmospheric, physiological and technical chemistry, reactor design, or process optimization. These models rely on numerous kinetic parameters such as reaction ra
Externí odkaz:
https://doaj.org/article/e0f7c4993e9a48be82023ddcb1e6af38
Autor:
Matteo Krüger, Jake Wilson, Marco Wietzoreck, Benjamin A. Musa Bandowe, Gerhard Lammel, Bertil Schmidt, Ulrich Pöschl, Thomas Berkemeier
Publikováno v:
Natural Sciences, Vol 2, Iss 4, Pp n/a-n/a (2022)
Abstract Quinones are chemical compounds commonly found in air particulate matter (PM). Their redox activity can generate reactive oxygen species (ROS) and contribute to the oxidative potential (OP) of PM leading to adverse health effects of aerosols
Externí odkaz:
https://doaj.org/article/e979f39be4824a0a8c344055e9d4b5e7
Autor:
Thomas Berkemeier, Matteo Krüger, Aryeh Feinberg, Marcel Müller, Ulrich Pöschl, Ulrich K. Krieger
Publikováno v:
eISSN
Geoscientific Model Development, 16 (7)
Geoscientific Model Development
EGUsphere
Geoscientific Model Development, 16 (7)
Geoscientific Model Development
EGUsphere
The heterogeneous chemistry of atmospheric aerosols involves multiphase chemical kinetics that can be described by kinetic multi-layer models (KMs) that explicitly resolve mass transport and chemical reactions. However, KMs are computationally too ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6554be7338a492b0895fb4f8f5fce032
https://egusphere.copernicus.org/preprints/2022/egusphere-2022-1093/
https://egusphere.copernicus.org/preprints/2022/egusphere-2022-1093/
Autor:
null Matteo Krüger, null Jake Wilson, null Marco Wietzoreck, null Benjamin A. Musa Bandowe, null Gerhard Lammel, null Bertil Schmidt, null Ulrich Pöschl, null Thomas Berkemeier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f589b55fbf0a5bf2bfa9c313f3384005
https://doi.org/10.1002/ntls.20220016/v2/response1
https://doi.org/10.1002/ntls.20220016/v2/response1
Publikováno v:
Life Science Alliance
Condition-specific statistical guidelines and accurate classification trees for quality control of functional genomics NGS files (RNA-seq, ChIP-seq and DNase-seq) have been generated using thousands of reference files from the ENCODE project and made
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac1d188ac37b7744e08652c139a94987
https://pubmed.ncbi.nlm.nih.gov/34462322
https://pubmed.ncbi.nlm.nih.gov/34462322