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J. Unterberger

4 papers hereh-index 29 citations6 works total

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

author position
  • sole author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.PR3
  • q-bio.MN1
same name
  • J. Unterberger — 36 papers, h 18
  • J. Unterberger — 3 papers, h 3
  • J. Unterberger — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedAn introduction to random rule-based chemical networks

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

math.PR2025

General multi-scale estimates for Lyapunov data of Perron-Frobenius matrices. The case of diluted autocatalytic chemical reaction networks

Jeremie Unterberger

Autocatalytic chemical reaction networks are dynamical systems whose linearization around zero, dX/dt = AX, is represented by a Perron-Frobenius matrix A with positive Lyapunov exp…

q-bio.MN2025

Autocatalytic cores in the diluted regime:classification and properties

Praneet Nandan, Philippe Nghe, Jeremie Unterberger

Autocatalysis underlies the ability of chemical and biochemical systems to replicate. Autocatalysis was recently defined stoichiometrically for reaction networks; five types of min…

math.PR2025

Optimal multi-time-scale estimates for diluted autocatalytic chemical networks. (1) Introduction and σ∗-dominant case

Jeremie Unterberger

Autocatalytic chemical networks are dynamical systems whose linearization around zero has a positive Lyapunov exponent; this exponent gives the growth rate of the system in the dil…

math.PR2025★ 1 cited

An introduction to random rule-based chemical networks

Jeremie Unterberger

Large chemical networks appear in various branches of chemistry and biology, in particular, cellular metabolism and prebiotic chemistry. Detailed simulations of such networks are d…

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