D. J. García

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Recent studies suggest that research participants show reduced distortion of their taboo attitudes and behaviors when they take part in Internet-based procedures from outside the laboratory. We explored whether such procedures would reduce distortion in the assessment of racial bias. In Study 1, White participants who completed the study in the laboratory(More)
Surfaces that resist protein adsorption are important for many bioanalytical applications. Bovine serum albumin (BSA) coatings and multi-arm poly(ethylene glycol) (PEG) coatings display low levels of non-specific protein adsorption and have enabled highly quantitative single-molecule (SM) protein studies. Recently, a method was developed for coating a glass(More)
Feature selection methods are used to find the set of features that yield the best classification accuracy for a given data set. This results in lower training and classification time for a classifier, a support vector machine here, and better classification accuracy. Feature selection, however, may be a time consuming process unfit for real time(More)
A new numerical method for the solution of the dynamical mean field theory's self-consistent equations is introduced. The method uses the density matrix renormalization group technique to solve the associated impurity problem. The new algorithm makes no a priori approximations and is only limited by the number of sites that can be considered. We obtain(More)
We solve the dynamical mean-field theory equations for the Hubbard model away from the particle-hole-symmetric case using the density matrix renormalization group method. We focus our study on the region of strong interactions and finite doping where two solutions coexist. We obtain precise predictions for the boundaries of the coexistence region. In(More)
A distributed-memory parallelization strategy for the density matrix renormalization group is proposed for cases where correlation functions are required. This new strategy has substantial improvements with respect to previous works. A scalability analysis shows an overall serial fraction of 9.4% and an efficiency of around 60% considering up to eight(More)
In this work the physical properties of the intermetallic compound TbRhIn 5 were investigated by means of temperature-dependent magnetic susceptibility, electrical resistivity, heat-capacity, and resonant x-ray magnetic diffraction experiments. TbRhIn 5 is an intermetallic compound that orders antiferromagnetically at T N = 45.5 K, the highest ordering(More)
We report on measurements of temperature-dependent magnetic susceptibility, resonant x-ray magnetic scattering ͑XRMS͒, and heat capacity on single crystals of Tb 1−x La x RhIn 5 for nominal concentrations in the range 0 Յ x Ͻ 1. TbRhIn 5 is an antiferromagnetic ͑AFM͒ compound with T N Ϸ 46 K, which are the highest T N values along the RRhIn 5 series ͑R:(More)
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