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Normalized spectra of 20 red giants
Accurate fundamental parameters of stars are mandatory for the asteroseismic investigation of the Kepler mission to succeed. We determine the atmospheric parameters for a sample... -
Synthetic lines in the Sun
We have computed synthetic spectra from a realistic 3D numerical simulation of the solar photosphere. We provide the spatially averaged spectra for selected lines that are... -
Inelastic Spectroscopy of the Mobile Phase of Ammonia Borane
Ammonia borane (AB) is one of the most promising hydrogen storage materials. There has recently been work on a more mobile phase of AB (denoted AB*) which is formed (via the... -
Inelastic Neutron Spectroscopy Study of Ammonium Borohydride
Ammonium borohydride (ABH2) has been studied as a hydrogen storage material, it stores hydrogen on both cationic and anionic sites and has the largest gravimetric and volumetric... -
Li-Ammonia Solutions/Solid - The State of the Proton as Probed By Deep Inelas...
Upon the addition of Li to anhydrous ammonia, the famous Li-Ammonia solutions form through an intriguing metal-insulator transition. These have been studied intensely for many... -
Muon Spectroscopy and Artificial Hydrogenases (RB920382)
The reversible interconversion of protons and dihydrogen is an electrochemical process of fundamental importance to a hydrogen economy. The process requires catalysis to proceed... -
Quasielastic Neutron Spectroscopy of Ammonium Borohydride
We ask for 7 days on IRIS to study the quasielastic scattering in ammonium borohydride (NH4BH4). Using enriched ND4 and BD4, we aim to separate out the difference rotational and... -
In-situ Inelastic Neutron Spectroscopy Studies Of Magnesium Tetrahydroborate ...
The development of high energy density and high efficiency hydrogen storage materials is widely considered to be one of the most challenging barriers to the adoption of fuel... -
Artificial [FeFe]-Hydrogenases and Muon Spectroscopy
Preliminary measurements of [FeFe]-hydrogenase model complexes were made in a previous experiment using EMU (RB 1010177). The results were interpreted in combination with DFT... -
Efficient, interpretable graph neural network representation for angle-depend...
Graph neural networks are attractive for learning properties of atomic structures thanks to their intuitive graph encoding of atoms and bonds. However, conventional encoding...