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C. De Michele

11 papers hereh-index 5171 citations8 works total

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

author position
  • first author4
  • middle author3
  • last author4

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • physics.flu-dyn7
  • physics.ao-ph1
  • physics.geo-ph1
  • stat.AP1
  • stat.ME1
same name
  • C. De Michele — 17 papers, h 2
  • C. De Michele — 6 papers, h 15
  • C. De Michele — 2 papers, h 4
  • C. De Michele — 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

activity
20092026
most citedNumerical treatment of the energy equation in compressible flows simulations

19 citations · 55 across the 11 of their papers we have counts for

collaborators
Showing 2026Show all

3 papers · 1 filter

physics.geo-ph2026

Community HydroAgent: Formalizing Forecaster Expertise into Skill-Orchestrated Flood Forecasting Workflows

Qingyi Yang, Siqian Qiu, Bing Li +20

Operational flood forecasting depends on tacit forecaster expertise that is difficult to formalize, audit, and transfer. Although artificial intelligence methods have advanced floo…

physics.flu-dyn2026

Pressure-equilibrium-preserving and fully conservative discretization of compressible flow equations for real and thermally perfect gases

Gennaro Coppola, Alessandro Aiello, Carlo De Michele

Numerical simulations of compressible real-fluid flows are notoriously plagued by spurious pressure oscillations arising in regions of abrupt flow variations. As a possible remedy,…

physics.flu-dyn2026

Entropy-stable discretizations for the compressible Euler equations using simple adaptive averages

Carlo De Michele, Ayaboe K. Edoh

Entropy stabilization of the compressible Euler system is achieved by adapting the averages that are applied to the density and internal energy variables. The approach achieves non…

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