IR Spectra Simulation and Information Processing on the WWW

Author: Selzer, Paul

Source: CHIMIA International Journal for Chemistry, Volume 52, Number 11, November 1998 , pp. 678-682(5)

Publisher: Swiss Chemical Society

Buy & download fulltext article:

OR

Price: $28.00 plus tax (Refund Policy)

Abstract:

Substance identification by IR-spectroscopic methods generally is performed by comparing the measured spectrum with a reference spectrum from a database. If the desired spectrum is not contained in the database, another method of substance identification has to be found.

Based on neural network techniques, we have developed a method which provides rapid access to simulated reference spectra. Within the scope of the 'TeleSpec-Telecooperation in Spectroscopy'-Project, this algorithm has been made available through a WWW interface. With a JAVA-enabled Web browser, interactive spectra prediction experiments can be performed.

Document Type: Research article

Publication date: 1998-11-01

More about this publication?
  • International Journal for Chemistry and Official Membership Journal of the Swiss Chemical Society (SCS) and its Divisions

    CHIMIA, a scientific journal for chemistry in the broadest sense, is published 10 times a year and covers the interests of a wide and diverse readership. Contributions from all fields of chemistry and related areas are considered for publication in the form of Review Articles and Notes. A characteristic feature of CHIMIA are the thematic issues, each devoted to an area of great current significance.

  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Information for Advertisers
  • ingentaconnect is not responsible for the content or availability of external websites
Related content

Tools

Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content

Text size:

A | A | A | A
Share this item with others: These icons link to social bookmarking sites where readers can share and discover new web pages. print icon Print this page