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Fast quantum crystallography
Authors:Walter Polkosnik  Chérif F Matta  Lulu Huang  Lou Massa
Institution:1. Graduate Center, City University of New York, New York, New York;2. Department of Chemistry and Physics, Mount Saint Vincent University, Halifax, Nova Scotia, Canada;3. Department of Chemistry Hunter College, the PhD Program of the Graduate Center, City University of New York, New York, New York
Abstract:Typical contemporary X-ray crystallography delivers the geometries and, at best, the electron densities of molecules or periodic systems in the crystalline phase. Energies, electron momentum densities, and information relating to the pair density such as electron delocalization measures—all crucial to chemistry—are simply missed. Quantum crystallography (QCr) is an emerging line of research aimed at filling this gap by solving the crystallographic problem under the constraints of quantum mechanics. In this way, not only geometries and electron densities become experimentally accessible but also the entire panoply of quantum mechanical properties that are in the output of any quantum chemical software package. However, QCr remains limited to smaller systems (small molecules or small unit cells) due to the exponential bottleneck that plagues quantum mechanical calculations. When combined with a fragmentation technique, termed the “kernel energy method (KEM)”, QCr's reach to larger molecules is extended considerably to almost “any size”, that is, systems of up to many hundreds of thousands of atoms. KEM has made this doable with any chemical model and is capable of providing the entire quantum mechanics of large molecular systems. The smallness of the R-factor adjudicates the accuracy of the quantum mechanics extracted from the crystallography.
Keywords:density matrices  electronic structure  kernel energy method  N-representability  quantum crystallography
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