The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

The Italian Ambassador to India, Antonio Bartoli, inaugurated the Indo-Italian Workshop in Physics in Delhi, three days of ...

Another theory held that the forces between two particles falls off exponentially in direct relationship to the distance between two particles and that the factor by which it drops is not dependent on ...

Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron ...

Muons tend to scatter more from high-atomic-number materials, so the technique is particularly sensitive to the presence of materials such as uranium. As a result, it has been used to create systems ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

A team of EPFL researchers has developed an AI algorithm capable of modelling complex dynamical processes while adhering to ...

If algorithms can track, classify, and predict behaviour at scale, can they also narrate a life before it is lived?

A particle collision reconstructed using the new CMS machine-learning-based particle-flow (MLPF) algorithm. The HFEM and HFHAD signals come from the ...

Hey, AI-nstein! Doing homework without robot assistance may soon be a relic of the past. A tech company has devised a ...