The deadline for nominations is November 22, 2019.
Please submit nominations through https://neutronscattering.org/nominations/.
Alannah Hallas (University of British Columbia)
Daniel Shoemaker (University of Illinois, Urbana Champaign)
Sara Haravifard (Duke University)
Kate Page (University of Tennessee Knoxville)
Christina Hoffmann (Oak Ridge National Laboratory)
This prize will be awarded every two years, at the American Conference on Neutron Scattering (ACNS).
A call for nominations will be made in advance of the ACNS meeting at which the prize will be presented, on a schedule consistent with that of the nominations for the other NSSA prizes. Nominations for this prize will be adjudicated by a selection committee set up by the NSSA executive. The selection committee will make the award on the basis of outstanding contributions to neutron science, with a significant portion of the relevant research carried out at a North American neutron scattering facility. The prize will consist of an appropriate certificate or plaque, $1000 in cash, and an invitation to give an oral presentation at the ACNS meeting at which the prize is awarded.
The nomination would consist of one nominating and one supporting letter, a cv listing publications and relevant experience, and copies of up to three representative publications. Eligible candidates are either current PhD students or scientists within two years of receiving their PhD by the end of the appropriate ACNS meeting. The onus is on the nominator to show that the nominee qualifies for the prize.
For her exploration of new families of quantum pyrochlore magnets and elucidating their phase behavior and excitations using forefront neutron scattering techniques.
For seminal neutron scattering studies of concentrated protein solutions and protein dynamics with application to biopharmaceutical engineering
For seminal neutron scattering studies of exotic ground states, ground state selection, and spin excitations in XY Pyrochlore Magnets
For pioneering a new methodology to elucidate accurate structural representations of complex materials by combining neutron diffraction and computational chemistry