Computational Molecular Dynamics: Proceeding of the 2nd International Symposium on Algorithms for Macromolecular Modelling, Berlin, May 21–24, 1997 (1999) (Lecture Notes in Computational Science and Engineering #4)
By: and and and and and
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- Synopsis
- On May 21-24, 1997 the Second International Symposium on Algorithms for Macromolecular Modelling was held at the Konrad Zuse Zentrum in Berlin. The event brought together computational scientists in fields like biochemistry, biophysics, physical chemistry, or statistical physics and numerical analysts as well as computer scientists working on the advancement of algorithms, for a total of over 120 participants from 19 countries. In the course of the symposium, the speakers agreed to produce a representative volume that combines survey articles and original papers (all refereed) to give an impression of the present state of the art of Molecular Dynamics.The 29 articles of the book reflect the main topics of the Berlin meeting which were i) Conformational Dynamics, ii) Thermodynamic Modelling, iii) Advanced Time-Stepping Algorithms, iv) Quantum-Classical Simulations and Fast Force Field and v) Fast Force Field Evaluation.
- Copyright:
- 1999
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783642583605
- Related ISBNs:
- 9783540632429
- Publisher:
- Springer Berlin Heidelberg
- Date of Addition:
- 08/11/22
- Copyrighted By:
- N/A
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Science, Earth Sciences, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Peter Deuflhard
- Edited by:
- Jan Hermans
- Edited by:
- Benedict Leimkuhler
- Edited by:
- Alan E. Mark
- Edited by:
- Sebastian Reich
- Edited by:
- Robert D. Skeel
Reviews
Other Books
- by Peter Deuflhard
- by Jan Hermans
- by Benedict Leimkuhler
- by Alan E. Mark
- by Sebastian Reich
- by Robert D. Skeel
- in Nonfiction
- in Science
- in Earth Sciences
- in Mathematics and Statistics