Evaluation of the differential energy distribution of systems of non-thermally activated molecules.

Bibliographic Details
Main Author: Rogers, Earl Byron
Other Authors: Chui, C. K. (degree committee member.), Tang, Yi-Noo (degree committee member.), Yeager, D. L. (degree committee member.)
Format: Thesis Book
Language:English
Published: 1986.
Subjects:
Online Access:Link to ProQuest copy
Link to OAKTrust copy

MARC

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049 |a TXAM 
099 |a 1986  |a Dissertation  |a R725 
100 1 |a Rogers, Earl Byron. 
245 1 0 |a Evaluation of the differential energy distribution of systems of non-thermally activated molecules. 
264 1 |c 1986. 
300 |a xiii, 158 leaves :  |b illustrations ;  |c 29 cm 
336 |a text  |b txt  |2 rdacontent 
337 |a unmediated  |b n  |2 rdamedia 
338 |a volume  |b nc  |2 rdacarrier 
500 |a Typescript (photocopy). 
500 |a Vita. 
502 |b Ph. D. in Chemistry  |c Texas A & M University  |d 1986 
504 |a Includes bibliographical references (leaves 124-128). 
520 3 |a A long standing problem in the field of chemical kinetics has been the evaluation of the differential energy distribution in systems which contain broad energy spectra and are not at thermal equilibrium. In this work, a general numerical method has been developed to determine this distribution. Hot atom chemistry has produced a large body of data appropriate for analysis by this method. Hot atom activation produces highly energetic systems with broad distributions the details of which are generally unknown. A non-thermally activated molecule may undergo pressure dependent deactivation or energy dependent decomposition. It should be possible to use the pressure dependent stabilization/decomposition yields to determine the energy distribution in non-thermal systems. The numerical technique of regularization has been applied to this chemical problem to evaluate this distribution. The resulting method has been tested with a number of simulated distributions and kinetic models. Characterization of optimum parameters for the method and the effects of experimental uncertainties were investigated. Application was then made to several real chemical systems to determine the energy distribution resulting from the primary excitation process. Testing showed the method to be quite effective in reproducing input distributions from simulated data in all test cases. The effect of experimental error proved to be negligible when the error-filled data were first smoothed with a parabolic spline. ... 
650 0 |a Chemical kinetics  |x Mathematical models. 
650 0 |a Hot-atom chemistry. 
650 4 |a Major chemistry. 
655 7 |a Academic theses  |2 lcgft 
700 1 |a Chui, C. K.,  |e degree committee member. 
700 1 |a Rogers, Alan S.,  |e degree supervisor. 
700 1 |a Tang, Yi-Noo,  |e degree committee member. 
700 1 |a Yeager, D. L.,  |e degree committee member. 
710 2 |a Texas A & M University,  |e degree granting institution. 
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