Objective
Nuclear physics is a cornerstone in our scientific endeavour to
understand the universe. Indeed, atomic nuclei bring us closer to
study both the stellar explosions in the macrocosmos, where the
elements are formed, and the fundamental symmetries of the
microcosmos. Having access to a a precise description of the
interactions between protons and neutrons would provide a key to
new knowledge across 20 orders of magnitude; from neutrinos to
neutron stars. Despite a century of the finest efforts, a
systematic description of strongly interacting matter at low
energies is still lacking. Successful theoretical approaches,
such as mean-field and shell models, rely on uncontrolled
approximations that severely limit their predictive power in
regions where the model has not been adjusted.
In this project I will develop a novel methodology to use
experimental information from heavy atomic nuclei in the
construction of nuclear interactions from chiral effective field
theory. I expect this approach to enable me and my team to make
precise ab initio predictions of various nuclear observables in a
wide mass-range from hydrogen to lead as well as infinite nuclear
matter. I will apply Bayesian regression and methods from machine
learning to quantify the statistical and systematic uncertainties
of the theoretical predictions. The novelty and challenge in this
project lies in synthesising (i) the design of nuclear
interactions, (ii) ab initio calculations of nuclei, and (iii)
statistical inference in the confrontation between theory and
experimental data. This alignment of methods, harboured within
the same project, will create a clear scientific advantage and
allow me to tackle the following big research question: how can
atomic nuclei be described in chiral effective field theories of
quantum chromo dynamics?
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences physical sciences theoretical physics particle physics neutrinos
- natural sciences physical sciences astronomy stellar astronomy neutron stars
- natural sciences physical sciences nuclear physics
- natural sciences computer and information sciences artificial intelligence machine learning
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
ERC-STG - Starting Grant
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2017-STG
See all projects funded under this callHost institution
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
412 96 GOTEBORG
Sweden
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.