理化学研究所 数理創造プログラム (iTHEMS) 客員研究員
本務: Research Fellow, Physics Department, University of Michigan, USA
エンリコ・リナルディ Enrico Rinaldi
- 2019-10-01 - 2019-10-23 研究パートタイマー
- 2019-11-16 - 2021-02-28 客員研究員
- 2021-05-01 - 客員研究員
I am Enrico Rinaldi, a part-time researcher in iTHEMS, who was previously a SPDR fellow in RIKEN BNL and Quantum Hadron Physics Laboratory.
My expertise is Monte Carlo numerical simulations of quantum field theories, also known as Lattice Field Theory simulations, which use massively parallel supercomputers (CPU and GPU-based) around the world to solve the complex equations hiding the mysteries of particle physics.
My research is focused on understanding high energy strongly-coupled gauged theories, in particular in the context of extensions of the Standard Model (SM) of particle physics, like Dark Matter physics or theories of Composite Higgs. New discoveries are hinging on the theoreticians’ ability to make predictions that can be tested by experimentalists, and that is precisely the my goal.
I am also engaged in projects related to low-energy nuclear physics, for example calculating nucleon-nucleon interactions or nuclear form-factors directly from the theory of Quantum Chromo-Dynamics (QCD). Moreover, I have been working on matrix models to study the gauge/gravity duality conjecture with the aim of understanding the possible intriguing relation between gauge theories and quantum gravity.
I am currently researching new Machine Learning (ML) approaches to physics, mainly based on the promising rise of generative models. The aim is to improve our ability to get access to multi-dimensional parametric distributions describing physical systems with specific models.
Simulation-based inference for multi-type cortical circuits
2021年11月29日13:30 - 15:00 セミナー 情報理論SGセミナー
iTHEMS-phys Intro Meeting on June 1, 2021
2021年6月1日13:00 - 15:00 セミナー 理論物理学セミナー
Composite Dark matter and gravitational waves
2020年10月20日10:00 - 11:00 セミナー Dark Matter WGセミナー
A new lamppost in dark matter searches: Composite Dark Matter
2019年10月1日10:00 - 18:00 セミナー Dark Matter WGセミナー
RIKEN Research: Quantum computing and deep learning could help solve the mysteries of quantum gravity
What’s inside a black hole? U-M physicist uses quantum computing, machine learning to find out
The work of a research group, including Dr. Maria Dainotti and Enrico Rinaldi, has been featured in several institutional press releases and websites
Enrico Rinaldi interviewed by RIKEN Research
Self-introduction: Enrico Rinaldi