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Jack H. Freed

Researcher at Cornell University

Publications -  468
Citations -  24789

Jack H. Freed is an academic researcher from Cornell University. The author has contributed to research in topics: Electron paramagnetic resonance & Relaxation (NMR). The author has an hindex of 82, co-authored 459 publications receiving 23392 citations. Previous affiliations of Jack H. Freed include Dartmouth College & University of Freiburg.

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Nonlinear-least-squares analysis of slow-motion EPR spectra in one and two dimensions using a modified levenberg-marquardt algorithm

TL;DR: In this paper, a model trust region modification of the Levenberg-Marquardt minimization algorithm is proposed for the analysis of one-dimensional CW EPR and multidimensional Fourier-transform (FT) EPR spectra especially in the slow motion regime.
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Theory of Linewidths in Electron Spin Resonance Spectra

TL;DR: In this article, it was shown that a composite line arising from a set of degenerate nuclear-spin states should, in general, consist of a sum of superimposed lines of Lorentzian shape with different widths rather than a single line with an over-all shape.
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Dynamic effects of pair correlation functions on spin relaxation by translational diffusion in liquids

TL;DR: In this paper, it is shown how the equilibrium pair correlation function between spinbearing molecules in liquids may be incorporated as an effective force in the relative diffusion expressions, and how one may solve for the resulting time correlation functions and spectral densities needed for studies of spin relaxation by translational diffusion.
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Dynamic effects of pair correlation functions on spin relaxation by translational diffusion in liquids. II. Finite jumps and independent T1 processes

TL;DR: In this article, the Torrey theory was extended to include effects of one type of spin that is rapidly relaxing, diffusion by jumps of finite size, and frequency-dependent diffusion coefficients in the theory of spin relaxation by intermolecular dipolar interactions.
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The determination of pair distance distributions by pulsed ESR using Tikhonov regularization.

TL;DR: This study supplies a mathematically reliable method for extracting pair distributions from pulsed ESR experimental data and has extended the use of pulsing ESR to provide results of greater value for structural biology.