A crucial feature of the Aspnes model is that one node can benefit from another node’s decision to inoculate. This motivates consideration of a model in which one node might pay part of the cost of another node’s inoculation. Such cost-sharing model…

We consider the use of cost sharing in the Aspnes model of network inoculation, showing that this can improve the cost of the optimal equilibrium by …

Motivated by the disagreement between recent diffusion Monte Carlo calculations and experiments on the phase transition pressure between the ambient …

We apply diffusion quantum Monte Carlo (DMC) to a broad set of solids, benchmarking the method by comparing bulk structural properties (equilibrium v…

Degree distributions are arguably the most important property of real world networks. The classic edge configuration model or Chung-Lu model can gene…

Finite element meshing of geometric domains by affine simplices results in polytopial approximation of these domains. The attendant error in the repr…

The emergence of coherent quantum feedback control (CQFC) as a new paradigm for precise manipulation of dynamics of complex quantum systems has led t…

Optimizing communication performance is imperative for large-scale computing because communication overheads limit the strong scalability of parallel…

Many emerging quantum technologies demand precise engineering and control over networks consisting of quantum mechanical degrees of freedom connected…

Graphs are used to model interactions in a variety of contexts, and there is a growing need to quickly assess the structure of a graph. Some of the m…

Constructing high-fidelity control fields that are robust to control, system, and/or surrounding environment uncertainties is a crucial objective for…

Detailed understanding of solid-solid interface structure-function relations is critical for the improvement and wide deployment of all solid-state b…

An accurate prediction of the surface potential at the air-water interface is critical to calculating ion hydration free energies and electrochemical…

Joint analysis of data from multiple sources has the potential to improve our understanding of the underlying structures in complex data sets. For in…

In this paper we present an algorithm for adaptive sparse grid approximations of quantities of interest computed from discretized partial differentia…

Increasing complexity of scientific simulations and HPC architectures are driving the need for adaptive workflows, where the composition and executio…

We present a parallel hierarchical solver for general sparse linear systems on distributed-memory machines. For large-scale problems, this fully alge…

The problem of identifying the diffusion parameter appearing in a nonlocal steady diffusion equation is considered. The identification problem is for…

We present a GPU implementation of LAMMPS, a widely-used parallel molecular dynamics (MD) software package, and show 5x to 13x single node speedups v…

The problem of incomplete data - i.e., data with missing or unknown values - in multi-way arrays is ubiquitous in biomedical signal processing, netwo…

Matrix multiplication is a fundamental computation in many scientific disciplines. In this paper, we show that novel fast matrix multiplication algor…

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