Introduction
smact
is a collection of tools and examples for “low-fi” screening of
potential semiconducting materials through the use of chemical
rules.
smact
uses a combination of heuristics and models derived from data to
rapidly search large areas of chemical space. This combination of methods
allows smact
to identify new materials for applications such as photovoltaics,
water splitting and thermoelectrics. Read more about smact
in our publications:
Computational screening of all stoichiometric inorganic materials
Materials discovery by chemical analogy: role of oxidation states in structure prediction
This approach is inspired by the work of Harrison 1 and Pamplin 2. The work is an active project in the Materials Design Group.
The package is available via pip install smact
.
We are also developing a set of Jupyter Notebook examples here.
- 1
http://www.worldcat.org/oclc/5170450 Harrison, W. A. Electronic structure and the properties of solids: the physics of the chemical bond (1980)
- 2
http://dx.doi.org/10.1016/0022-3697(64)90176-3 Pamplin, B. R. A systematic method of deriving new semiconducting compounds by structural analogy J. Phys. Chem. Solids 7, 675–684 (1964)