Nuclear Data for the Next Decade
Amphithéâtre Bilski Pasquier
We are delighted to announce the upcoming Third International Workshop on Nuclear Data for the Next Decade. This new edition is scheduled to take place in downtown Paris, from March 9th to 13th, 2026. The entire conference will take place at Campus des Cordeliers, located at 15 rue de l'école de médecine, in the latin quarter.
The aim of these conference series is to bring together researchers working on experimental and theoretical methods related to nuclear data production.
Since the second edition in 2014, nuclear-data science entered a new phase with significant methodological improvements and intensive experimental activities. Recent nuclear data evaluations broadened their scope by systematically including a wider range of nuclear reactions, notably neutron-induced reactions on unstable isotopes, charged-particle reactions, and photonuclear data. They have also significantly improved uncertainty quantification through Bayesian techniques, automated covariance production, and rigorous quality-assurance procedures. Yet, these statistical tools represent only a part of broader transformations.
New experimental campaigns have greatly improved our understanding of nuclear data, notably via precise measurements such as fission yields, neutron multiplicities, and dedicated reaction cross-sections. Key new experiments using advanced detector arrays and setups significantly enhanced our capability to discriminate reaction channels and refine nuclear structure evaluations. Upcoming major infrastructures will soon provide additional high-quality data, especially for exotic beams and photonuclear reactions.
At the theoretical level, the systematic integration of microscopic nuclear models based on effective interactions has progressed significantly. Ab-initio methods already provide reliable predictions for few-body and lighter nuclei, and their application to heavier systems is actively explored. Hybrid microscopic and phenomenological approaches increasingly support data evaluations. These advances mark a crucial step towards fully integrating microscopic calculations into nuclear data production.
Artificial intelligence and machine learning techniques, once considered speculative, are now extensively applied. They provide efficient interpolation of sparse data, accelerate Monte Carlo simulations, and optimize Bayesian analyses, offering new tools to reduce uncertainties in evaluations.
Objectives
- Take stock of progress since P(ND)2-2, reviewing successes and persistent gaps in evaluations for fission, fusion, transmutation, medical isotopes, and astrophysics.
- Benchmark emerging methodologies (ML-augmented evaluations, emulators and reduced-order models, physics-informed neural networks) against traditional R-matrix, optical-model, and Hauser-Feshbach approaches.
- Identify priority experiments at new or upgraded accelerators, reactors, and laser facilities that can most effectively reduce uncertainties.
- Define best practices for covariance validation, data-format harmonisation, open-source reproducibility.
- Draft a ten-year road aligning modelling, measurement, and evaluation efforts with next-generation applications.
Key Questions to Be Addressed
These key questions will be central during the workshop discussions and will be specifically tackled during three thematic round tables, allowing participants to collaboratively draft an initial version of the roadmap:
Experimental Priorities:
- Which single-parameter measurements will yield the largest sensitivity-weighted impact on critical applications?
- What governance and digital-infrastructure frameworks can foster open, version-controlled, community-owned data libraries for the next decade?
Artificial Intelligence:
- Which ML architectures demonstrably improve cross-section interpolation/extrapolation without sacrificing physics constraints?
- Can automated pipeline tools provide evaluator-vetted covariance matrices for all major projectile–target combinations and uncertainty propagation across evaluation libraries ?
Microscopic Models and Computational Resources:
- What to be expected from applications of microscopic approaches based on effective forces in the near future ? Where are hybrid (microscopic + empirical) approaches still indispensable? How far can ab-initio or chiral-EFT-based models replace phenomenology for light- to medium- mass systems?
- How can exascale resources be harnessed for global-fit evaluations and uncertainty propagation within reasonable wall-times?
Expected Outcomes
- A collectively agreed ten-year roadmap highlighting priority experimental, theoretical, and methodological developments required for robust nuclear data by 2036, published in peer-reviewed journal.
- Enhanced international cooperation linking theoretical, experimental, and applied nuclear-data communities.
Program and participation
- Scientific talks: by invitation only;
- Program: preliminary and subject to be changed;
- A limited number of seats is also available for scholars wishing to attend and follow the lastest developments in the field (registration is required);
- Registration deadline (conference attendee + conference dinner booking): 31th January 2026
Lunches & coffee breaks
We are pleased to provide complimentary lunches and coffee breaks for all invited participants throughout the conference.
For additional attendees, the surrounding area offers a wide range of options for all budgets- from gastronomic restaurants to affordable student meals (around 12€), particularly near acadamic hubs such as the Jussieu campus (Quartier Latin).
Social Events
We are delighted to host the conference dinner on Thursday, 12 March, in the Hansi Salon at Brasserie Bofinger, 5–7 rue de la Bastille, 75004 Paris.
Details for payment will be communicated shortly.
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Venue
The exact Conference address:
Campus des Cordeliers
Amphithéâtre "Bilski Pasquier"
15 rue de l'école de médecine
75006 PARIS
How to reach the conference site:
The Campus des Cordeliers, situated in the 6th arrondissement of Paris, offers a rich historical ambiance as a former 14th-century convent. Click below to view its location on Google Maps.
Metro-RER-Bus Transport information:
Subway: Line 10 (stop at Cluny-La Sorbonne) / Lines 4 and 10 (stop at Odéon)
Bus: Line 58 (stop at Théâtre de l'Odéon) / Lines 63, 86, 87 (stop at Saint-Germain-Odéon)
- For Metro, RER and bus maps, please visit this link: https://www.ratp.fr/en/plans
- Please visit this link; you may find interesting options and prices with the Navigo week-pass.
http://parisbytrain.com/paris-train-metro-week-pass-navigo-decouverte/
How to reach downtown Paris by air/rail:
- From Charles de Gaulle (Roissy) airport:
Take RER B towards Massy or Saint-Rémy-lès-Chevreuse. One train every 15 minutes. Exit in one station serving the subway line of your accomodation in Paris.
Another option is to take the Roissybus from the airport to the Opera station (downtown Paris). - From Orly airport:
First option is to take the automatic subway line 14 to downtown Paris from the airport.
Another option is to take the Orlyval to the Antony suburban train station then take the connection to the RER B towards the north (either towards CDG airport or Mitry-Claye both service all the stations in Paris). - From one of Paris train stations:
Paris-Gare de Lyon services the South/South-east (Switzerland/Italy), Gare Montparnasse services the West/South-west (Spain), Gare du Nord/Gare de l'est services the North/North-east (UK, BE, GE etc...).
All train stations are connect to Paris subway. You should plan your itinerary on https://www.ratp.fr to your hotel.
Accommodation
Participants must take their own travel and hotel arrangements. The region offers a large spectrum of lodging options. We recommend checking the online review prior to booking and making sure of the neighborhood and connection to subway lines. Some suggestions affordable are given below:
Hôtels in Paris close Cordeliers Campus
· Hôtels **
o Hôtel Saint Pierre
4 rue de l'Ecole de Médecine, 6e arr., 75006 Paris
o Villa Des Princes
19 Rue Monsieur le Prince, 6e arr., 75006 Paris, France
o Hôtel Du Brésil
10 Rue Le Goff, 5e arr., 75005 Paris, France
· Hôtels ***
o Hôtel De Suez
31 Boulevard Saint Michel, 5e arr., 75005 Paris, France
o Hôtel du Savoir
1, rue Racine, 6e arr., 75006 Paris, France
· or...have a look at :
https://en.parisinfo.com/where-to-sleep-in-paris
Tourism
Paris hosts an extraordinary variety of attractions and activities, from world-renowned museums, concerts/spectacles to entertainment venues and free scientific lectures. Similar to transportation passes, you can purchase multi-site passes that offer access to several museum or historical landmark. To make the most of your visit, we highly recommend booking tickets online in advance to take advantage of priority access and avoid long lines. For comprehensive information on things to do in Paris, we encourage you to explore the extensive resources provided by local tourism authorities online:
- https://parisjetaime.com/eng/things-to-do-in-paris-i001
- https://www.visitparisregion.com/en
Website of the conference / Schedule
https://indico.ijclab.in2p3.fr/login/?next=/event/11675/
The P(ND)²-3 conference is jointly organized by CEA, Laboratoire Kastler Brossel, IJCLab/CNRS and Sorbonne Université.
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