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291 papers · 1 filter
A Hessian-Based Assessment of Atomic Forces for Training Machine Learning Interatomic Potentials
Marius Herbold, Jörg Behler
In recent years, many types of machine learning potentials (MLPs) have been introduced, which are able to represent high-dimensional potential-energy surfaces (PES) with close to f…
Spontaneously rotating clusters of active droplets
Babak Vajdi Hokmabad, Akinori Nishide, Prashanth Ramesh +1
We report on the emergence of spontaneously rotating clusters in active emulsions. Ensembles of self-propelling droplets sediment and then self-organise into planar, hexagonally or…
Biohybrid active matter -- the emergent properties of cell-mediated microtransport
Valentino Lepro, Robert Großmann, Oliver Nagel +4
As society paves its way towards device miniaturization and precision medicine, micro-scale actuation and guided transport become increasingly prominent research fields with high i…
Silicon in the dayside atmospheres of two ultra-hot Jupiters
D. Cont, F. Yan, A. Reiners +22
Atmospheres of highly irradiated gas giant planets host a large variety of atomic and ionic species. Here we observe the thermal emission spectra of the two ultra-hot Jupiters WASP…
The integrated copula spectrum
Yuichi Goto, Tobias Kley, Ria Van Hecke +3
Frequency domain methods form a ubiquitous part of the statistical toolbox for time series analysis. In recent years, considerable interest has been given to the development of new…
Measurements of the branching fractions of , , and decays at Belle
Belle collaboration, Y. Li, J. X. Cui +213
Using the entire data sample of collected with the Belle detector at the KEKB asymmetric-energy collider, we present measurements of the branching f…