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MIAPbP - Munich Institute for Astro-, Particle and BioPhysics

Domains such as cosmology, astrophysics, nuclear or particle physics rely heavily on the use of stochastic simulation to design data analyses and perform inference with respect to fundamental physics theories. With the advances of Deep Learning, Bayesian inference techniques, a new frontier has come into view that focuses on the extension of traditional scientific programming along the two distinct directions of differentiable programming and probabilistic programming. The former plays an important role in navigating high-dimensional spaces, while the latter can manifestly incorporate generative modeling and inference into scientific data analyses. Both promise to expand the science reach of data-intensive domains through, e.g., the integration of domain knowledge and symmetries into neural networks, algorithmic robustness, alignment of science and training optimization goals, uncertainty quantification, causal inference, and more complete inference. However, most production scientific pipelines are not yet compatible with these techniques and their widespread adoption would represent a deep change in the scientific software landscape. This program will provide the opportunity for researchers from Computer Science and Fundamental Physics to develop applications as well as strategies for integrating these paradigms into existing scientific workflows and to close the gap of what is theoretically possible and practically deployed.

High Energy Physics, Particles and Fields,    Scientific Computing and Data Science

MIAPbP - Munich Institute for Astro-, Particle and BioPhysics

We are happy to announce that the Differentiable and Probabilistic Programming for Fundamental Physics program includes a three day workshop. The workshop will contain talks about recent advancements in differentiable programming (DP) and probabilistic programming in the context of Physical Sciences. The workshop's diverse set of invited speakers will cover DP/ProbProg users and experts, toolmakers and authors of promising technologies. The workshop aims to explore the potential science impact of DP/ProbProg and to understand the steps towards, and challenges of, a successful implementation of these paradigms in fundamental physics.

High Energy Physics, Particles and Fields,    Scientific Computing and Data Science

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Modeling and Simulation,    Mathematical Physics

In a classic paper 50 years ago, Kugel and Khomskii demonstrated that in strongly-correlated systems orbital ordering can arise from a purely electronic super-exchange mechanism and not just the conventional co-operative Jahn-Teller effect. This work opened the field of orbital physics — a field which, since then, is undergoing continuous growth. It was understood that, beside orbital ordering, super-exchange can give rise to the orbital analogue of spin-liquid states. It was shown that the directional character of the orbitals can introduce anisotropic super-exchange interactions, which, in a simplified setting, are described by compass models, a prototype for the Kitaev model. This opened new avenues of its own. More surprising phenomena arise from the entanglement of spin and orbital degrees of freedom. New developments aim at dynamically tuning orbital occupations by pushing the system out of equilibrium, and at orbital-controlled electronics.

The goal of this year’s school is to provide students with an overview of the state-of-the art in the field of orbital physics in strongly correlated systems and the techniques used to investigate them. After introducing fundamental models and effects, lectures will focus on these effects in real materials, with introductions to crystallography and symmetries, methods for building minimal tight-binding Hamiltonians, the Jahn-Teller effect, and Coulomb-enhancements of the Jahn-Teller effect. Advanced lectures will address orbital ordering, orbital liquids and Kitaev materials, as well as theoretical approaches, from self-interaction corrected density functionals to dynamical mean-field theory and beyond. Experimental lectures will present probes of spin, orbital, and charge degrees of freedom, techniques to image orbitals and orbital ordering, as well as orbitally-controlled transport phenomena.

Email: correl23@fz-juelich.de

Orbital physics, orbital ordering, multi-orbital Hubbard model, strong-correlations, DMFT, Jahn-Teller, group theory, Kitaev materials, Mott transition, quantum Montecarlo, spin and orbital liquid, theory and experiments

Quantum materials, Low Temperature Physics,    Condensed Matter Physics and Materials

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Optics and Lasers,    Applied Mathematics (in general)