Crossref journal-article
Walter de Gruyter GmbH
Zeitschrift für Kristallographie - Crystalline Materials (374)
Abstract

Abstract In the past decade, new theoretical approaches have been developed to determine, predict and understand the struc-ture of chemical compounds. The central element of these methods has been the investigation of the energy landscape of chemical systems. Applications range from extended crystalline and amorphous compounds over clusters and molecular crystals to proteins. In this review, we are going to give an introduction to energy landscapes and methods for their investigation, together with a number of examples. These include structure prediction of extended and mo-lecular crystals, structure prediction and folding of proteins, structure analysis of zeolites, and structure determination of crystals from powder diffraction data.

Bibliography

Schön, J. C., & Jansen, M. (2001). Determination, prediction, and understanding of structures, using the energy landscapes of chemical systems - Part I. Zeitschrift Für Kristallographie - Crystalline Materials, 216(6), 307–325.

Authors 2
  1. J.C. Schön (first)
  2. Martin Jansen (additional)
References 0 Referenced 100

None

Dates
Type When
Created 21 years, 8 months ago (Dec. 5, 2003, 9:19 a.m.)
Deposited 4 months, 2 weeks ago (April 8, 2025, 5:12 a.m.)
Indexed 2 weeks, 4 days ago (Aug. 6, 2025, 8:06 a.m.)
Issued 24 years, 2 months ago (June 1, 2001)
Published 24 years, 2 months ago (June 1, 2001)
Published Online 15 years, 11 months ago (Sept. 25, 2009)
Published Print 24 years, 2 months ago (June 1, 2001)
Funders 0

None

@article{Sch_n_2001, title={Determination, prediction, and understanding of structures, using the energy landscapes of chemical systems - Part I}, volume={216}, ISSN={2194-4946}, url={http://dx.doi.org/10.1524/zkri.216.6.307.20339}, DOI={10.1524/zkri.216.6.307.20339}, number={6}, journal={Zeitschrift für Kristallographie - Crystalline Materials}, publisher={Walter de Gruyter GmbH}, author={Schön, J.C. and Jansen, Martin}, year={2001}, month=jun, pages={307–325} }