Journal Article FZJ-2022-06133

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Machine learning based optimization to simulate tumor development

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2022
Soc. Bethesda, Md.

Biophysical journal 121(3), 123a - () [10.1016/j.bpj.2021.11.2100]

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Contributing Institute(s):
  1. Jülich Supercomputing Center (JSC)
Research Program(s):
  1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)
  2. Forschergruppe Schug (hkf6_20200501) (hkf6_20200501)

Appears in the scientific report 2022
Database coverage:
Medline ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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Institutssammlungen > JSC
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 Datensatz erzeugt am 2022-12-19, letzte Änderung am 2022-12-23


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