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Data Mining | Compounds | Relationships | Nanostructures |
Libraries | Properties | Similarities | Macromolecules |
Localities | Terms & Codes | Algorithms | (Meta)materials |
Exploring Data Mining
Paradigms are shifting,
facts are changing or get re-evaluated, and the amount of
supporting data is rapidly expanding. The wealth of today's data
is overwhelming. Data mining aims to utilize
those resources to satisfy defined (re)search goals.
At Axeleratio, we develop, test and employ
domain-specific data-mining software.
Our interests and experiences include:
- Capturing of data from domain-related resources exploiting various types of encoding and tagging formats,
- Annotation of data for the generation of glossaries and ontologies that will support further data evaluation, transformation and correlation,
- Presentation and reviewing of data within task-specific requests and for customized views and application compatibility,
- Modeling of data for predictive purposes and rational design, including molecular, materials and process design.
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