Scientific AI for Physics Workshop

4 Nov 2025, 09:00 → 7 Nov 2025, 14:00 America/Sao_Paulo

Instituto Principia

Tilman Plehn, Tommaso Dorigo (Universita e INFN, Padova (IT))

 

 

 

 

The Scientific AI for Physics Workshop will be held November 4-7 2025 at the Instituto Principia in São Paulo, Brazil. It will cover modern applications of AI to Physics.  The program contains advanced level lectures on AI application to Physics as well as research seminars. We would like to encourage you to register and submit an abstract for a talk.  All talks are expected to be in person. If you want you can also bring a poster.

Deadlines:  For registration  and abstract submission: October 30 2025. There is no conference fee and the attendance is limited to 50 people.

Talks and posters: Participants are encouraged to submit a talk or a poster.

 

 

Confirmed speakers:

Raul Abramo (Universidade de São Paulo)

Nestor Caticha (Universidade de São Paulo)

Gustavo Dalpian (Universidade de São Paulo)

Tilman Plehn (Heidelberg University)

Alexandre Suaide (Universidade de São Paulo)

Manuel Szewc (Cincinatti University)

Andre Sznajder  (UERJ)

Luis Itza Vazquez-Salazar (Heidelberg University)

Raphael Mendes de Oliveira Cóbe (UNESP)

 

 

Sponsors: 

IWR: Interdisciplinary  Center for

Scientific Computing

 

 

 

 

 

 

 

Instituto Principia

 

 

 

 

 

 

 

 

 

Tuesday 4 November

13:30 → 14:00 Registration

14:00 → 15:30 Lectures 1/3: Tilman Plehn: Precision-ML for the LHC

ML notes

15:30 → 16:30 coffee break and discussions

16:30 → 18:00 Manuel Szewc (Universidad de San Martin): Machine learning hadronization

18:00 → 19:20 Welcome reception

Wednesday 5 November

09:00 → 09:50 Seminar 1/3: Raul Abramo (Universidade de São Paulo): Machine Learning and IA in Cosmology and Astrophysics

09:50 → 10:25 Luidhy Santana-Silva (CBPF): From Pixels to Classes: Deep Learning Classification of 30 Million Galaxies in the DECam Local Volume Exploration Survey

10:25 → 11:05 Coffee break and discussion

11:05 → 11:55 Gustavo Dalpian Universidade de São Paulo): Learning from machine learning: discovering new science for materials

11:55 → 12:30 Pedro da Costa Huot: Study of hypernuclei identification in ultra-relativistic heavy-ion collisions using a machine learning approach

12:30 → 14:00 Lunch

14:00 → 15:30 Lectures 2/3: Tilman Plehn: Statistics and ML

15:30 → 16:30 coffee break and discussions

16:30 → 18:00 Luis Itza Vazquez-Salazar: Molecular Simulations with/without ML

Thursday 6 November

09:00 → 09:50 Seminars 2/3

09:50 → 10:25 Phelipe Antonie Darc de Matos (CBPF): Symbolic Regression Is All You Need: From Simulations to Scaling Laws in Binary Neutron Star Mergers

10:25 → 11:05 coffee break and discussions

11:05 → 11:55 André Sznajder (UERJ): Ultrafast Jet Classification for the HL-LHC

11:55 → 12:30 Joaquin Armijo (Universidade de São Paulo): DeepLensingFlow: scored and flow-based networks for Weak-lensing map statistics

12:30 → 14:10 Lunch

14:10 → 15:40 Lectures 3/3: Marc Szewc: machine learning hadronization

15:40 → 16:40 coffee and discussions

16:40 → 18:10 Luis Itza Vazquez-Salazar: Graph Diffusion Models

Friday 7 November

09:00 → 09:50 Seminars 3/3: Nestor Caticha (Universidade de São Paulo): Complex Systems Modeling of Societies

09:50 → 10:25 Daniel López-Cano (universidade de São Paulo): Semi-Supervised Domain Adaptation for Sim-to-Obs Astrophysics: DESI→J-PAS

10:25 → 11:05 coffee break and discussions

11:05 → 11:55 Raphael Cóbe (UNESP): From Research to Impact: AI2's Model for Digital Social Innovation

11:55 → 12:30 Rafael Bicudo Ribeiro (Universidade de São Paulo): Physically-oriented clustering of conformations in multi-molecule systems