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Roberto Car

Researcher at Princeton University

Publications -  406
Citations -  90989

Roberto Car is an academic researcher from Princeton University. The author has contributed to research in topics: Density functional theory & Ab initio. The author has an hindex of 99, co-authored 389 publications receiving 76681 citations. Previous affiliations of Roberto Car include International School for Advanced Studies & University of Geneva.

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From colossal to zero: Controlling the Anomalous Hall Effect in Magnetic Heusler Compounds via Berry Curvature Design

TL;DR: In this paper, the symmetry elements of Heusler magnets can be changed such that the Berry curvature and all the associated properties are switched while leaving the magnetization unchanged, which enables tuning the anomalous Hall conductivity from 0 −1 cm-1 up to 1600 −1cm-1 with an exceptionally high anomalous hall angle up to 12 %.
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Correlated Tunneling in Hydrogen Bonds

TL;DR: In this paper, the quantum nature of the protons participating in hydrogen bonds in several ice structures was analyzed by analyzing the one particle density matrix. And the correlations appeared along the path to hydrogen bond symmetrization, when quantum fluctuations delocalize the proton on the two bond sides.
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Closing of the nucleotide pocket of kinesin-family motors upon binding to microtubules.

TL;DR: Adenosine diphosphate analogs containing electron paramagnetic resonance (EPR) spin moieties and EPR spectroscopy are used to show that the nucleotide-binding site of kinesin-family motors closes when the motor·diph phosphate complex binds to microtubules.
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First-principles study of excitonic self-trapping in diamond.

TL;DR: This calculation provides evidence for self-trapping of the core exciton and gives a coherent interpretation of recent experimental x-ray absorption and emission data, predicting that self-Trapping should occur in the case of a valence biexciton.
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First-principles string molecular dynamics: An efficient approach for finding chemical reaction pathways

TL;DR: It is shown that the string method can be efficiently combined with first-principles molecular dynamics to provide an accurate description of chemical reaction pathways and barriers.