Stefano Markidis
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Royal Institute of Technologyas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0003-0639-0639
- OpenAlex ID
- A5085178088, A5070572735, A5122371528, A5122968156, A5134554563as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 9
A survey of HPC algorithms and frameworks for large-scale gradient-based nonlinear optimization,
Direct numerical simulation of the turbulent flow around a Flettner rotor,
Exploring the Vision Processing Unit as Co-Processor for Inference,
In situ visualization of large-scale turbulence simulations in Nek5000 with ParaView Catalyst,
Large-Scale direct numerical simulations of turbulence using GPUs and modern Fortran,
Neko: A modern, portable, and scalable framework for high-fidelity computational fluid dynamics,
On physics-informed neural networks for quantum computers,
Programming Quantum Neural Networks on NISQ Systems: An Overview of Technologies and Methodologies
+1 more
← Authored by 9
A survey of HPC algorithms and frameworks for large-scale gradient-based nonlinear optimization,
Direct numerical simulation of the turbulent flow around a Flettner rotor,
Exploring the Vision Processing Unit as Co-Processor for Inference,
In situ visualization of large-scale turbulence simulations in Nek5000 with ParaView Catalyst,
Large-Scale direct numerical simulations of turbulence using GPUs and modern Fortran,
Neko: A modern, portable, and scalable framework for high-fidelity computational fluid dynamics,
On physics-informed neural networks for quantum computers,
Programming Quantum Neural Networks on NISQ Systems: An Overview of Technologies and Methodologies
+1 more
Affiliated with 1
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Summary
Stefano Markidis is a human[1].