Quantum crystallography: A perspective
Extraction of the complete quantum mechanics from X‐ray scattering data is the ultimate goal of quantum crystallography. This article delivers a perspective for that possibility. It is desirable to have a method for the conversion of X‐ray diffraction data into an electron density that reflects the...
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Published in: | Journal of computational chemistry Vol. 39; no. 17; pp. 1021 - 1028 |
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Main Authors: | , |
Format: | Journal Article |
Language: | English |
Published: |
United States
Wiley Subscription Services, Inc
30-06-2018
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Subjects: | |
Online Access: | Get full text |
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Summary: | Extraction of the complete quantum mechanics from X‐ray scattering data is the ultimate goal of quantum crystallography. This article delivers a perspective for that possibility. It is desirable to have a method for the conversion of X‐ray diffraction data into an electron density that reflects the antisymmetry of an N‐electron wave function. A formalism for this was developed early on for the determination of a constrained idempotent one‐body density matrix. The formalism ensures pure‐state N‐representability in the single determinant sense. Applications to crystals show that quantum mechanical density matrices of large molecules can be extracted from X‐ray scattering data by implementing a fragmentation method termed the kernel energy method (KEM). It is shown how KEM can be used within the context of quantum crystallography to derive quantum mechanical properties of biological molecules (with low data‐to‐parameters ratio). © 2017 Wiley Periodicals, Inc.
Extraction of the full quantum mechanics from the X‐ray scattering experiment. |
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Bibliography: | Quantum Crystallography: Current Developments and Future Perspectives organized by Drs. Alessandro Genoni and Simon Grabowsky, held in Nancy, France, June 19–20, 2017. This article is dedicated to the memory of Professor Philip Coppens (1930–2017) This article relates to a lecture by one of us (L.M.) at the CECAM Meeting . ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0192-8651 1096-987X |
DOI: | 10.1002/jcc.25102 |