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Articles 1 - 7 of 7

Full-Text Articles in Chemistry

Characterization Of The Electrochemical Interface By Infrared Spectroscopy, Mark Anderson Oct 1992

Characterization Of The Electrochemical Interface By Infrared Spectroscopy, Mark Anderson

Mark R. Anderson

No abstract is available at this time.


Hplc Analysis Of Amino Acid-Derived Chloramines, Thomas Goyne, Suzanne Furness, Tracy Inskeep, Heather Greenleaf Jun 1992

Hplc Analysis Of Amino Acid-Derived Chloramines, Thomas Goyne, Suzanne Furness, Tracy Inskeep, Heather Greenleaf

Thomas Goyne

No abstract provided.


Investigations Of Analytical Surfaces By Fourier Transform Infrared Spectroscopy, Mark Anderson May 1992

Investigations Of Analytical Surfaces By Fourier Transform Infrared Spectroscopy, Mark Anderson

Mark R. Anderson

No abstract is available at this time.


Selectivity In Detection Of Analytes In Flowing Streams Using Piezoelectric Quartz, Mark Anderson, John Roush, David Thacker Mar 1992

Selectivity In Detection Of Analytes In Flowing Streams Using Piezoelectric Quartz, Mark Anderson, John Roush, David Thacker

Mark R. Anderson

No abstract is currently available.


Characterization Of Electrochemical Double Layer From The Infrared Spectroscopic Behavior Of Adsorbed Carbon Monoxide, Mark Anderson Mar 1992

Characterization Of Electrochemical Double Layer From The Infrared Spectroscopic Behavior Of Adsorbed Carbon Monoxide, Mark Anderson

Mark R. Anderson

No abstract is currently available.


Hplc Analysis Of Amino Acid-Derived Chloramines, Thomas Goyne, Suzanne Furness, Scott Miller, Matthew Nelsen Jan 1992

Hplc Analysis Of Amino Acid-Derived Chloramines, Thomas Goyne, Suzanne Furness, Scott Miller, Matthew Nelsen

Thomas Goyne

No abstract provided.


Formally Exact Path Integral Monte Carlo Calculations Using Approximate Projection Operators, Randall W. Hall Dec 1991

Formally Exact Path Integral Monte Carlo Calculations Using Approximate Projection Operators, Randall W. Hall

Randall W. Hall

A class of approximate projection operators is used to reduce the variance in path integral Monte Carlo calculations in a formally exact manner. Paths are classified according to the projection operators, allowing the identification of paths whose contribution to the variance is negligible. The approach is applied to two canonical systems: Two like‐spin electrons in a three dimensional harmonic well and the two dimensional Hubbard model, representing localized and extended electronic states, respectively. Time savings of 15–900 over straightforward Monte Carlo calculations are observed.