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

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in complex two-dimensional (2D ...

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

NYU scientists are using light to precisely control how tiny particles organize themselves into crystals. Their research, published in Chem, provides a simple and reversible method for forming ...

Tenjimbayashi and colleagues note that particle-coated droplets slipped off the substrate much more easily than did non-coated particles on a coated substrate. That’s because of differences between ...

In nanoscale particle research, precise control and separation have long been a bottleneck in biotechnology. Researchers at ...

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

Detailed particle morphology supports better assessment of lost circulation materials used in oil and gas drilling to reduce fluid loss risks.

Francesca Capel and Nadine Bourriche analyze the most energetic particle that has ever hit Earth and its possible origin in ...

HydroInsight enhances the Mastersizer 3000, delivering real-time particle counting and concentration data for improved particle characterization workflows.