33.1k citations
- Sandia National LaboratoriesUS256 papers
- University of California, BerkeleyUS56 papers
- Lawrence Berkeley National LaboratoryUS52 papers
- Los Alamos National LaboratoryUS32 papers
- Oak Ridge National LaboratoryUS27 papers
- Lawrence Livermore National LaboratoryUS26 papers
- Stanford UniversityUS26 papers
- Princeton UniversityUS24 papers
- University of New MexicoUS22 papers
- North Carolina State UniversityUS20 papers
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41 papers · 1 filter
Tunable ferromagnetism at non-integer filling of a moiré superlattice
Guorui Chen, Aaron L. Sharpe, Eli J. Fox +12
The flat bands resulting from moiré superlattices in magic-angle twisted bilayer graphene (MATBG) and ABC-trilayer graphene aligned with hexagonal boron nitride (ABC-TLG/hBN) have…
3D Nanomagnetism in Low Density Interconnected Nanowire Networks
Edward C. Burks, Dustin A. Gilbert, Peyton D. Murray +7
Free-standing, interconnected metallic nanowire networks with density as low as 40 mg/cm^{3} have been achieved over cm-scale areas, using electrodeposition into polycarbonate memb…
Quantifying the unknown impact of segmentation uncertainty on image-based simulations
Michael C. Krygier, Tyler LaBonte, Carianne Martinez +5
Image-based simulation, the use of 3D images to calculate physical quantities, fundamentally relies on image segmentation to create the computational geometry. However, this proces…
Spin-lattice model for cubic crystals
P. Nieves, J. Tranchida, S. Arapan +1
We present a methodology based on the Néel model to build a classical spin-lattice Hamiltonian for cubic crystals capable of describing magnetic properties induced by the spin-orbi…
Comparative scintillation performance of EJ-309, EJ-276, and a novel organic glass
T. A. Laplace, B. L. Goldblum, J. E. Bevins +14
An organic glass scintillator developed by Sandia National Laboratories was characterized in terms of its light output and pulse shape discrimination (PSD) properties and compared…
Preserving general physical properties in model reduction of dynamical systems via constrained-optimization projection
A. Schein, K. T. Carlberg, M. J. Zahr
Model-reduction techniques aim to reduce the computational complexity of simulating dynamical systems by applying a (Petrov-)Galerkin projection process that enforces the dynamics…