Identities relate density-density correlators across a spin multiplet, allowing energies of many fractional quantum Hall states to be obtained from the highest-weight state alone.
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The Countoscope quantifies self-propulsion in active particles by deriving number fluctuation correlations that exhibit diffusive, advective, and enhanced diffusive regimes.
A machine-learning interatomic potential trained on solids accurately reproduces experimental structural and dynamical properties of liquid Al-Ti alloys.
citing papers explorer
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Relations between density-density correlators of states in the maximal spin multiplet
Identities relate density-density correlators across a spin multiplet, allowing energies of many fractional quantum Hall states to be obtained from the highest-weight state alone.
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The Countoscope for self-propelled particles
The Countoscope quantifies self-propulsion in active particles by deriving number fluctuation correlations that exhibit diffusive, advective, and enhanced diffusive regimes.
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Molecular Dynamics simulations of Al-Ti metallic alloy melts using a transferable machine-learning potential
A machine-learning interatomic potential trained on solids accurately reproduces experimental structural and dynamical properties of liquid Al-Ti alloys.