239 citations
- Cornell UniversityUS6 papers
- Brookhaven National LaboratoryUS4 papers
- Rutgers, The State University of New JerseyUS4 papers
- United States Air Force Research LaboratoryUS4 papers
- University of WashingtonUS4 papers
- Lawrence Berkeley National LaboratoryUS3 papers
- University of California San DiegoUS3 papers
- University of Central FloridaUS3 papers
- University of OxfordGB3 papers
- University of VirginiaUS3 papers
- Apple (Israel)IL2 papers
- AT&T (United States)US2 papers
12 papers · 1 filter
Combinatorial Miller-Hagberg Algorithm for Randomization of Dense Networks
Hiroki Sayama
We propose a slightly revised Miller-Hagberg (MH) algorithm that efficiently generates a random network from a given expected degree sequence. The revision was to replace the appro…
Automated Generation and Ensemble-Learned Matching of X-ray Absorption Spectra
Chen Zheng, Kiran Mathew, Chi Chen +9
We report the development of XASdb, a large database of computed reference X-ray absorption spectra (XAS), and a novel Ensemble-Learned Spectra IdEntification (ELSIE) algorithm for…
Origin of superconductivity and latent charge density wave in NbS
Christoph Heil, Samuel Poncé, Henry Lambert +3
We elucidate the origin of the phonon-mediated superconductivity in 2-NbS using the ab initio anisotropic Migdal-Eliashberg theory including Coulomb interactions. We demonst…
Proportional Closeness Estimation of Probability of Contamination Under Group Testing
Yaakov Malinovsky, Shelemyahu Zacks
The paper is focused on the problem of estimating the probability of individual contaminated sample, under group testing. The precision of the estimator is given by the probabi…
Revisit of Antiferromagnetism in Hubbard Model by A Cluster Slave-Spin Method
Wei-Cheng Lee, Ting-Kuo Lee
The cluster slave-spin method is introduced to systematically investigate the solutions of the Hubbard model including the symmetry-broken phases. In this method, the electron oper…
Robust Tracking and Behavioral Modeling of Movements of Biological Collectives from Ordinary Video Recordings
Hiroki Sayama, Farnaz Zamani Esfahlani, Ali Jazayeri +1
We propose a novel computational method to extract information about interactions among individuals with different behavioral states in a biological collective from ordinary video…