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18 papers · 1 filter
Inference in Graded Bayesian Networks
Robert Leppert, Karl-Heinz Zimmermann
Machine learning provides algorithms that can learn from data and make inferences or predictions on data. Bayesian networks are a class of graphical models that allow to represent…
Phonon-assisted Auger enables ultrafast charge transfer in CdSe Quantum Dot/Organic Molecule
Zhi Wang, Mona Rafipoor, Pablo García Risueño +4
Charge transfer between photoexcited quantum dots and molecular acceptors is one of the key limiting processes in most applications of colloidal nanostructures, most prominently in…
Detection and characterization of an ultra-dense sub-Neptune planet orbiting the Sun-like star HD 119130
R. Luque, G. Nowak, E. Pallé +51
We present the discovery and characterization of a new transiting planet from Campaign 17 of the Kepler extended mission K2. HD 119130 b is a warm sub-Neptune on a 17-d orbit aroun…
Tuning non-collinear magnetic states by hydrogenation
Aurore Finco, Pin-Jui Hsu, Kirsten von Bergmann +1
Two different superstructures form when atomic H is incorporated in the Fe monolayer on Ir(111). Depending on the amount of H provided, either a highly ordered p(2x2) hexagonal sup…
Exciton absorption spectra in narrow armchair graphene nanoribbons in electric fields
B. S. Monozon, P. Schmelcher
We present an analytical investigation of the exciton optical absorption in a narrow armchair graphene nanoribbon (AGNR) in the presence of a longitudinal external electric field d…
Predicting the Extreme Ultraviolet Radiation Environment of Exoplanets Around Low-Mass Stars: the TRAPPIST-1 System
Sarah Peacock, Travis Barman, Evgenya L. Shkolnik +2
The high energy radiation environment around M dwarf stars strongly impacts the characteristics of close-in exoplanet atmospheres, but these wavelengths are difficult to observe du…