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researcher

Lukas Stelz

5 papers hereh-index 5120 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author3

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.SI1
  • physics.soc-ph1
  • q-bio.QM1
ORCID 0000-0002-2958-0921

identity via Semantic Scholar / OpenAlex

activity
20192025
most citedApproaching epidemiological dynamics of COVID-19 with physics-informed neural networks

33 citations · 53 across the 5 of their papers we have counts for

collaborators
Showing q-bio.QMShow all

1 paper · 1 filter

q-bio.QM2023★ 33 cited

Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks

Shuai Han, Lukas Stelz, Horst Stoecker +2

A physics-informed neural network (PINN) embedded with the susceptible-infected-removed (SIR) model is devised to understand the temporal evolution dynamics of infectious diseases.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.