Dynamic Image Analysis directly addresses micro-flow imaging’s inherent scalability and workflow limitations. Both ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
It is commonly assumed that tiny particles just go with the flow as they make their way through soil, biological tissue, and ...
Particle deposition in turbulent flow systems represents a critical field of study, bridging fundamental fluid dynamics with practical applications in environmental engineering and indoor air quality ...
A new computational analysis supports the idea that photons (a.k.a. particles of light) colliding with heavy ions can create a fluid of 'strongly interacting' particles. In a new paper, they show that ...
A particle collision reconstructed using the new CMS machine-learning-based particle-flow (MLPF) algorithm. The HFEM and HFHAD signals come from the ...
With the growing integration of renewable energy, thermal power plants face increasing pressure to provide flexible operation and deep peak regulation. However, existing swirl combustion technologies, ...
The material exhibits an exceptionally low lattice thermal conductivity of ~0.18 W/m·K, placing it among the lowest known for crystalline solids.
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