521 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Rutgers, The State University of New JerseyUS164 papers
- Fermi National Accelerator LaboratoryUS45 papers
- California Institute of TechnologyUS44 papers
- Carnegie Mellon UniversityUS37 papers
- University of California, Santa BarbaraUS37 papers
- University of ChicagoUS37 papers
- University of Minnesota SystemUS36 papers
- Centro de Investigaciones Energéticas, Medioambientales y TecnológicasES35 papers
- Unidades Centrales Científico-TécnicasES35 papers
- University of California, RiversideUS35 papers
- University of California, DavisUS34 papers
- Florida Department of StateUS33 papers
9 papers · 1 filter
Low-loss tunable infrared plasmons in the high-mobility perovskite (Ba,La)SnO
Hongbin Yang, Andrea Konečná, Xianghan Xu +4
BaSnO exhibits the highest carrier mobility among perovskite oxides, making it ideal for oxide electronics. Collective charge carrier oscillations, plasmons, are expected to ar…
Evidence of Mass Ordering of Charm and Bottom Quark Energy Loss in Au+Au Collisions at RHIC
STAR Collaboration, M. S. Abdallah, B. E. Aboona +359
Partons traversing the strongly interacting medium produced in heavy-ion collisions are expected to lose energy depending on their color charge and mass. We measure the nuclear mod…
Surreal Decisions
Eddy Keming Chen, Daniel Rubio
Although expected utility theory has proven a fruitful and elegant theory in the finite realm, attempts to generalize it to infinite values have resulted in many paradoxes. In this…
Boole's probability bounding problem, linear programming aggregations, and nonnegative quadratic pseudo-Boolean functions
Endre Boros, Joonhee Lee
Hailperin (1965) introduced a linear programming formulation to a difficult family of problems, originally proposed by Boole (1854,1868). Hailperin's model is computationally still…
Self-Consistent Determination of Long-Range Electrostatics in Neural Network Potentials
Ang Gao, Richard C. Remsing
Machine learning has the potential to revolutionize the field of molecular simulation through the development of efficient and accurate models of interatomic interactions. In parti…
A hybrid model-based and learning-based approach for classification using limited number of training samples
Alireza Nooraiepour, Waheed U. Bajwa, Narayan B. Mandayam
The fundamental task of classification given a limited number of training data samples is considered for physical systems with known parametric statistical models. The standalone l…
Field-tunable toroidal moment in a chiral-lattice magnet
Lei Ding, Xianghan Xu, Harald O. Jeschke +13
A toroidal dipole moment appears independent of the electric and magnetic dipole moment in the multipole expansion of electrodynamics. It arises naturally from vortex-like arrangem…
Multi-Feature Multi-Scale CNN-Derived COVID-19 Classification from Lung Ultrasound Data
Hui Che, Jared Radbel, Jag Sunderram +3
The global pandemic of the novel coronavirus disease 2019 (COVID-19) has put tremendous pressure on the medical system. Imaging plays a complementary role in the management of pati…
AT 2019qyl in NGC 300: Internal Collisions in the Early Outflow from a Very Fast Nova in a Symbiotic Binary
Jacob E. Jencson, Jennifer E. Andrews, Howard E. Bond +39
Nova eruptions, thermonuclear explosions on the surfaces of white dwarfs (WDs), are now recognized to be among the most common shock-powered astrophysical transients. We present th…