Global Helium Industry Intelligence
arXiv:2603.06809v1 Announce Type: new Abstract: Relativistic lasers on solid targets generate hot electrons, and other secondary particles. These particles can be used for radiography, cancer therapy,…
arXiv:2603.06800v1 Announce Type: new Abstract: Quantitative prediction of thermodynamic properties in solution is essential for translating atomistic simulations into reliable chemical insight. As an exemplar system,…
arXiv:2603.06765v1 Announce Type: new Abstract: Continuum-based theories, such as Navier-Stokes equations, have been considered inappropriate for flows under nonequilibrium conditions. In part, it is due to…
arXiv:2603.06762v1 Announce Type: new Abstract: Solving flow through porous media is a crucial step in the topology optimisation of cold plates, a key component in modern…
arXiv:2603.06754v1 Announce Type: new Abstract: We propose a physics-informed anomaly detection framework for collider data based on a Bayesian latent diffusion model. Our method combines a…
arXiv:2603.06686v1 Announce Type: new Abstract: Observational constraints are considered on a $w_{log}$CDM model of the dark energy equation of state, $w_{d}(z) = w_{0} + w_{a}left( frac{ln(2+z)}{1+z}…
arXiv:2603.06675v1 Announce Type: new Abstract: Due to a high rate of overall data generation relative to data generation of interest, the CMS experiment at the Large…
arXiv:2603.06630v1 Announce Type: new Abstract: Debates about artificial intelligence capabilities and risks are often conducted without quantitative grounding. This paper applies the methodology of MacKay (2009)…
arXiv:2603.06629v1 Announce Type: new Abstract: The proposed reductions in federal research support proposed by the Trump Administration for 2026 would profoundly degrade the United States research…
Energies, Vol. 19, Pages 1393: Optimizing the Configuration of MOGWO’s Distributed Energy Storage for Low-Carbon Enhancements Energies doi: 10.3390/en19061393 Authors: Haizhu Yang Qilong Ma Peng Zhang…