| Exploring | Extracting | Evaluating | Encoding |
| Data Mining | Compounds | Relationships | Nanostructures |
| Libraries | Properties | Similarities | Macromolecules |
| Localities | Terms & Codes | Algorithms | (Meta)materials |
Encoding pure, modified
and composite materials
The
CurlySMILES language
includes the stoichiometric formula notation (SFN) to encode
a broad range of solids with known atomic or substructural
stoichiometry. Further, a special format has been specified
to generate CurlySMILES notations for composites or hybrid
materials. The following examples illustrate material capturing
with CurlySMILES:
minerals,
graphenes and stoichiometric derivatives,
impure and doped
compounds and
lattice-defect structures.
Find more CurlySMILES encoding examples.
| Axeleratio Home | |
| ChemRange | CurlySMILES |
ThermoML Mining
>> About ThermoML>> Chemical property range
>> Multiple components
>> Solvent effects
Structure Encoding
>> CurlySMILES language>> CurlySMILES project
>> Enantiomers
>> Homopolymers
>> Thin solid films
Curiosity & Learning
>> Chemical trails>> Mushroom hunting
>> Culturomics
>> The Loomis legacy
>> 2-D solid electrolytes
