Read article 'End-to-end simulation of particle accelerators using Sirepo'
End-to-end simulation of particle accelerators using Sirepo
Watch this webinar now, to explore how to use Sirepo for linear accelerator simulations.
Read article 'End-to-end simulation of particle accelerators using Sirepo'
Read article 'A powerful eye opener into the world of AI'
A powerful eye opener into the world of AI
"Artificial Intelligence for High Energy Physics" showcases neat projects and detailed applications, finds Andreas Salzburger.
Read article 'Combining quantum with high-energy physics'
Combining quantum with high-energy physics
Organised by the CERN Quantum Technology Initiative, the first International Conference on Quantum Technologies for High-Energy Physics assessed the opportunities ahead.
Read article 'Connecting the dots with neural networks'
Connecting the dots with neural networks
"Deep Learning for Physics Research" balances theory and practice, physics and programming, and foundations and state-of-the-art deep-learning concepts.
Read article 'Tracing molecules at the vacuum frontier'
Tracing molecules at the vacuum frontier
The CERN-developed simulator “Molflow” has become the de-facto industry standard for ultra-high-vacuum simulations, with applications ranging from chip manufacturing to the exploration of the Mart...
Read article 'Multidisciplinary CERN forum tackles AI'
Multidisciplinary CERN forum tackles AI
The structure was designed to stimulate sew insights, dialogue and collaboration between AI specialists, scientists, philosophers and ethicists.
Read article 'CERN unveils roadmap for quantum technology'
CERN unveils roadmap for quantum technology
Exploring the potential of quantum information science and technologies for high-energy physics.
Read article 'Having the right connections is key'
Having the right connections is key
SKAO director-general Philip Diamond describes how the world's largest radio telescope went from concept to construction.
Read article 'Making complexity irrelevant'
Making complexity irrelevant
Headed by two ATLAS physicists, gluoNNet applies data-mining and machine-learning techniques to benefit wider society.
Read article 'Learning to detect new top-quark interactions'
Learning to detect new top-quark interactions
A new CMS analysis searches for anomalies in top-quark interactions with the Z boson using an effective-field-theory framework.
