DMCA. Copyrighted Work that you can Claim.
Base have 820 524 books.
Search: 


📙 Computational and Instrumental Methods in EPR by Christopher J. Bender, Lawrence J. Berliner (auth.) — free download


Computational and Instrumental Methods in EPR

Prof. Bender, Fordham University

Prof. Lawrence J. Berliner, University of Denver

Electron magnetic resonance has been greatly facilitated by the introduction of advances in instrumentation and better computational tools, such as the increasingly widespread use of the density matrix formalism.

This volume is devoted to both instrumentation and computation aspects of EPR, while addressing applications such as spin relaxation time measurements, the measurement of hyperfine interaction parameters, and the recovery of Mn(II) spin Hamiltonian parameters via spectral simulation.

Key features:

  • Microwave Amplitude Modulation Technique to Measure Spin-Lattice (T1) and Spin-Spin (T2) Relaxation Times
  • Improvement in the Measurement of Spin-Lattice Relaxation Time in Electron Paramagnetic Resonance
  • Quantitative Measurement of Magnetic Hyperfine Parameters and the Physical Organic Chemistry of Supramolecular Systems
  • New Methods of Simulation of Mn(II) EPR Spectra: Single Crystals, Polycrystalline and Amorphous (Biological) Materials
  • Density Matrix Formalism of Angular Momentum in Multi-Quantum Magnetic Resonance

About the Editors:

Dr. Chris Bender is assistant professor of Chemistry at Fordham University.

Dr. Lawrence J. Berliner is currently Professor and Chair of the Department of Chemistry and Biochemistry at the University of Denver after retiring from Ohio State University, where he spent a 32-year career in the area of biological magnetic resonance (EPR and NMR). He is the Series Editor for Biological Magnetic Resonance, which he launched in 1979.



About book:

About file:

  • File size: 3 253 485
  • Format: pdf


Security code:
Download button

Similar books results


Computational and Instrumental Methods in EPR (Biological Magnetic Resonance)
Computational and Instrumental Methods in EPR (Biological Magnetic Resonance) download pdf by Christopher J. Bender, Lawrence Berliner

The foundation for understanding the function and dynamics of biological systems is not only knowledge of their structure, but the new methodologies and applications used to determine that structure. Electron magnetic resonance has been greatly facilitat...

EPR: Instrumental Methods
EPR: Instrumental Methods free pdf by Christopher J. Bender (auth.), Lawrence J. Berliner, Christopher J. Bender (eds.)

Electron magnetic resonance spectroscopy is undergoing something akin to a renaissance that is attributable to advances in microwave circuitry and signal processing software. EPR: Instrumental Methods is a textbook that brings the reader up to date on the...

Computer Simulation Methods in Theoretical Physics
Computer Simulation Methods in Theoretical Physics epub download by Heermann D.W.

A slim little text designed to acquaint advanced undergraduate and beginning graduate students of physics (knowledge of classical mechanics, statistical mechanics and computer programming is assumed) with the art and excitement of the topic to which the t...

An introduction to computer simulation methods: applications to physical systems
An introduction to computer simulation methods: applications to physical systems pdf free by Harvey Gould, Jan Tobochnik, Wolfgang Christian

KEY BENEFIT: Now in its third edition, this book teaches physical concepts using computer simulations. The text incorporates object-oriented programming techniques and encourages readers to develop good programming habits in the context of doing physics. ...

Mathematica laboratories for mathematical statistics: emphasizing simulation and computer intensive methods
Mathematica laboratories for mathematical statistics: emphasizing simulation and computer intensive methods free download by Jenny A. Baglivo

Integrating computers into mathematical statistics courses allows students to simulate experiments and visualize their results, handle larger data sets, analyze data more quickly, and compare the results of classical methods of data analysis with those us...

An introduction to computer simulation methods: Applications to physical systems
An introduction to computer simulation methods: Applications to physical systems download pdf by Harvey Gould, Jan Tobochnik, Wolfgang Christian

Now in a third edition, this book teaches physical concepts using computer simulations. The text incorporates object-oriented programming techniques and encourages students to develop good programming habits in the context of doing physics. Designed for c...

Introduction to computer-intensive methods of data analysis in biology
Introduction to computer-intensive methods of data analysis in biology free pdf by Derek A. Roff

This guide to the contemporary toolbox of methods for data analysis will serve graduate students and researchers across the biological sciences. Modern computational tools, such as Maximum Likelihood, Monte Carlo and Bayesian methods, mean that data analy...

Mathematica Laboratories for Mathematical Statistics: Emphasizing Simulation and Computer Intensive Methods (ASA-SIAM Series on Statistics and Applied Probability)
Mathematica Laboratories for Mathematical Statistics: Emphasizing Simulation and Computer Intensive Methods (ASA-SIAM Series on Statistics and Applied Probability) free download by Jenny A. Baglivo

Integrating computers into mathematical statistics courses allows students to simulate experiments and visualize their results, handle larger data sets, analyze data more quickly, and compare the results of classical methods of data analysis with those us...

Mathematica Laboratories for Mathematical Statistics: Emphasizing Simulation and Computer Intensive Methods
Mathematica Laboratories for Mathematical Statistics: Emphasizing Simulation and Computer Intensive Methods free epub by Jenny A. Baglivo

Integrating computers into mathematical statistics courses allows students to simulate experiments and visualize their results, handle larger data sets, analyze data more quickly, and compare the results of classical methods of data analysis with those us...