Skip to main content

Confinement and other nonperturbative features of QCD: towards a systematic study of Greens functions using lattice simulations

Image: National Institute of Standards and Technology, public domain, via Wikimedia Commons (licence). Cropped and resized. Image credits
  • Fundação para a Ciência e a Tecnologia, I.P. (FCT)
  • 2 Nov 2020 to 1 Nov 2026

Project page and source record Share by email Share on LinkedIn

Outside the quantum-technology scope of this portal (particle and nuclear physics (quantum chromodynamics)): the title names quantum science but no quantum technology. The record is kept for reference and left out of the default projects listing and counts.

Participants, websites and capabilities are shown to signed-in members.Sign in or request access

Project funded by Fundação para a Ciência e a Tecnologia, I.P. (FCT) (CEEC IND 2017), grant CEECIND/00488/2017/CP1460/CT0030. Funded amount: EUR 350,921, as stated by the source. Runs 2020-11-02 to 2026-11-01. Keywords: QUARKS AND GLUONS, STRONG INTERACTION, QUANTUM FIELD THEORY, HIGH PERFORMANCE COMPUTING, PHYSICS AT EXTREME SCALES. Source: OpenAIRE Graph, from the funder's project data (collected by OpenAIRE on 2025-07-18); national funding data, not CORDIS; selected because its keywords name quantum.

Original source.

Source: OpenAIRE Graph: projects of national funders, OpenAIRE, from the project data of Fundação para a Ciência e a Tecnologia, I.P. (FCT). Retrieved 2026-10-22. Licence: Creative Commons Attribution 4.0 (OpenAIRE Graph). Selected metadata, adapted presentation; the publisher's record is authoritative. No endorsement by the source is implied. Licence: Creative Commons Attribution 4.0 (CC BY 4.0).

AI-assisted summary: The project "Confinement and other nonperturbative features of QCD" is funded by FCT with a grant of EUR 350,921, running from November 2, 2020, to November 1, 2026. It focuses on quarks, gluons, and quantum field theory using high-performance computing. Suggested technology pillar: simulation. Generated by AI from the public source text; it may contain errors and the original source is authoritative.

Source: explore.openaire.eu · checked 22 Oct 2026 · AI-assisted summary