Reference : Fast and accurate quantum Monte Carlo for molecular crystals |
Scientific journals : Article | |||
Physical, chemical, mathematical & earth Sciences : Physics | |||
Physics and Materials Science; Computational Sciences | |||
http://hdl.handle.net/10993/35408 | |||
Fast and accurate quantum Monte Carlo for molecular crystals | |
English | |
Zen, Andrea [] | |
Brandenburg, Jan Gerit [] | |
Klimes, Jiri [] | |
Tkatchenko, Alexandre ![]() | |
Alfe, Dario [] | |
Michaelides, Angelos [] | |
20-Feb-2018 | |
Proceedings of the National Academy of Sciences of the United States of America | |
National Academy of Sciences | |
115 | |
1724 | |
Yes (verified by ORBilu) | |
International | |
0027-8424 | |
1091-6490 | |
Washington | |
DC | |
[en] Computer simulation plays a central role in modern-day materials
science. The utility of a given computational approach depends largely on the balance it provides between accuracy and computational cost. Molecular crystals are a class of materials of great technological importance which are challenging for even the most sophisticated ab initio electronic structure theories to accurately describe. This is partly because they are held together by a balance of weak intermolecular forces but also because the primitive cells of molecular crystals are often substantially larger than those of atomic solids. Here, we demonstrate that diffusion quantum Monte Carlo (DMC) delivers subchemical accuracy for a diverse set of molecular crystals at a surprisingly moderate computational cost. As such, we anticipate that DMC can play an important role in understanding and predicting the properties of a large number of molecular crystals, including those built from relatively large molecules which are far beyond reach of other high-accuracy methods. | |
http://hdl.handle.net/10993/35408 |
File(s) associated to this reference | ||||||||||||||
Fulltext file(s):
| ||||||||||||||
All documents in ORBilu are protected by a user license.