- University of Tennessee at KnoxvilleUS810 papers
- Los Alamos National LaboratoryUS213 papers
- Lawrence Berkeley National LaboratoryUS211 papers
- Centre National de la Recherche ScientifiqueFR206 papers
- Quantum Science CenterUS189 papers
- Argonne National LaboratoryUS183 papers
- Brookhaven National LaboratoryUS160 papers
- University of Illinois Urbana-ChampaignUS157 papers
- The University of TokyoJP155 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR144 papers
- The Ohio State UniversityUS142 papers
- Lawrence Livermore National LaboratoryUS130 papers
150 papers · 1 filter
Isotropic parallel antiferromagnetism in the magnetic-field-induced charge-ordered state of SmRuP caused by - hybridization
T. Matsumura, S. Michimura, T. Inami +12
Nature of the field-induced charge ordered phase (phase II) of SmRuP has been investigated by resonant x-ray diffraction (RXD) and polarized neutron diffraction (PND), f…
Nine Best Practices for Research Software Registries and Repositories: A Concise Guide
Task Force on Best Practices for Software Registries, :, Alain Monteil +30
Scientific software registries and repositories serve various roles in their respective disciplines. These resources improve software discoverability and research transparency, pro…
Antiferromagnetism and crystalline-electric field excitations in tetragonal NaCeO2
Mitchell M. Bordelon, Joshua D. Bocarsly, Lorenzo Posthuma +3
We investigate the crystal structure, magnetic properties, and crystalline-electric field of tetragonal, , NaCeO. In this compound, Ce ions form a tetragonally…
Complex magnetic phases in polar tetragonal intermetallic NdCoGe
Binod K. Rai, Ganesh Pokharel, Hasitha Suriya Arachchige +8
Polar materials can host a variety of topologically significant magnetic phases, which often emerge from a modulated magnetic ground state. Relatively few noncentrosymmetric tetrag…
Data optimization for large batch distributed training of deep neural networks
Shubhankar Gahlot, Junqi Yin, Mallikarjun Shankar
Distributed training in deep learning (DL) is common practice as data and models grow. The current practice for distributed training of deep neural networks faces the challenges of…
The Magnetoelastic Distortion of Multiferroic BiFeO in the Canted Antiferromagnetic State
Toomas Rõõm, Johan Viirok, Laur Peedu +17
Using THz spectroscopy, we show that the spin-wave spectrum of multiferroic BiFeO in its high-field canted antiferromagnetic state is well described by a spin model that violat…