We are pleased to announce a second lecture from Dr. Marcello Dalmonte (ICTP) on the intricacies of statistical mechanics and phase transitions in the context of data mining the many-body problem. In this part, Marcello discusses essential concepts of the partition function, emphasizing efficient sampling strategies via Markov chains and Monte Carlo simulations. He specifically addresses the challenge of critical slowing down near phase transitions and introduces cluster algorithms as a powerful tool for effective sampling at criticality. Using the illustrative example of a three-site Ising model, Dr. Dalmonte demonstrates how temperature impacts the intrinsic dimensionality of feature spaces, providing valuable insights into many-body systems.

Don't miss this #OpenAccess opportunity to watch the lecture for free and engage in discussions with the Enabla community, including Marcello himself: https://enabla.com/pub/325/about

The first lecture of the same series was announced earlier: https://mathstodon.xyz/@enabla/113163357376577315

#StatisticalMechanics #UnsupervisedLearning #machine_learning

**Piotr Nowak** @hyperplane@c.im · Mar 30

Mar 30

Piotr Nowak @hyperplane@c.im

Chaos Revealed By Supercomputer Shakes Up Hypersonic Flow Research

https://dailygalaxy.com/2025/03/mach-16-revealed-supercomputer-hypersonic/

The Daily Galaxy - Great Discoveries Channel · Mar 29Mach 16 Chaos Revealed By Supercomputer Shakes Up Hypersonic Flow ResearchA hypersonic simulation at Mach 16 just shattered long-held assumptions in aerospace design — and the results weren’t visible in any wind tunnel.

#computing #hpc #dsmc

**Simon Gravelle** @simongravelle@mastodon.social · Mar 7

Mar 7

Simon Gravelle @simongravelle@mastodon.social

Shoutout to the two PhD students (Romain Simon & Leonardo Galliano) behind Arianna - an open-source initiative offering a system-agnostic approach to Monte Carlo simulations. Arianna provides a flexible, modular framework where users can define their own systems and moves.

https://github.com/TheDisorderedOrganization/Arianna.jl

#opensource #github #montecarlo

Replied in thread

**Valeriy M., PhD, MBA, CQF** @predict_addict@sigmoid.social · Mar 4

Mar 4

Valeriy M., PhD, MBA, CQF @predict_addict@sigmoid.social

#Finance #Quant #ConformalPrediction #MachineLearning #GARCH #VAR #MonteCarlo #AI

Replied in thread

**CEDAR** @cedartools@mastodon.social · Feb 8

Feb 8

CEDAR @cedartools@mastodon.social

Interested? Applications are now open! Apply at https://indico.cern.ch/e/mcnet2025 and join us in #Scotland for an intensive, hands-on learning experience with some of the best in the field. #MCnet #HEP #ParticlePhysics #MonteCarlo

IndicoMCnet Summer School 2025The 18th MCnet school will be held at Stirling, Scotland. Stirling is one of the historic “royal burghs” of Scotland, on the edge of the lowlands and highlands, with a famous castle, monuments, and classic sightseeing options from hillwalking to distillery tours. The school provides a five day course of training in the physics and techniques used in modern Monte Carlo event generators via a series of lectures, practical sessions, and discussions with event-generator authors. The school is...

**G. Clavier** @Enthalpiste@sciences.re · Jan 17

Jan 17

G. Clavier @Enthalpiste@sciences.re

I am shamefully copying this post from Linkedin but if you happen to know any candidate, do not hesitate to reach:

It's on. To my #ComputationalChemistry network, I am calling on you.

The PM2E team in the CIMAP laboratory (www.cimap.ensicaen.fr) is looking for a #PhD hashtag#candidate. The goal of the project is to understand key parameters in #semiconductor defects stability and physics (both vacancies and color centers, see for example: https://doi.org/10.1016/j.nimb.2022.12.025) through the use of
#DFT and #MolecularModeling. The end goals of the project is concerned with application for #QuantumComputing through the making of stable #qubit. Collaboration and communication with experimentalists will be part of the project.

If you're interested in #MolecularDynamics, #MonteCarlo simulations, or DFT and quantum calculations, we are waiting for you. We are using codes such as #Lammps and #QuantumEspresso. We are looking for a candidate finishing or already having a master degree (or equivalent diploma) with training in #physics/ #MaterialsScience / #TheoreticalChemistry. Any experience in programming using #Python, #C and the #Linux environment would be considered a plus.