Skala is a neural XC functional trained on wavefunction data that beats state-of-the-art hybrids on main-group chemistry benchmarks at semi-local computational cost.
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Charm quarks develop dynamical attractors in expanding QGP but with lattice-QCD diffusion coefficients require ~5 fm to relax, leading to O(1) deviations from equilibrium already at pT ~ 3 GeV and incomplete thermalization in small systems.
The paper provides an overview of symmetry-protected nodal-line structures in semimetals and their signatures in spectroscopy and transport measurements.
citing papers explorer
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Accurate and scalable exchange-correlation with deep learning
Skala is a neural XC functional trained on wavefunction data that beats state-of-the-art hybrids on main-group chemistry benchmarks at semi-local computational cost.
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Non-equilibrium Dynamical Attractors and Thermalisation of Charm Quarks in Nuclear Collisions at the LHC Energy
Charm quarks develop dynamical attractors in expanding QGP but with lattice-QCD diffusion coefficients require ~5 fm to relax, leading to O(1) deviations from equilibrium already at pT ~ 3 GeV and incomplete thermalization in small systems.
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Contemporary Insights into Electronic Structure and Microscopic Transport in Nodal-Line Semimetals
The paper provides an overview of symmetry-protected nodal-line structures in semimetals and their signatures in spectroscopy and transport measurements.