Automation Influenced the Growth of R&D of Materials
Published by : Industrial Automation
Artificial Chemist, an advanced concept that uses the artificial intelligence (AI) algorithm along with the automated system to execute the chemical reactions operations in order to do research and development (R&D) of materials. The concept was initially developed by the North Carolina State University of Buffalo researchers.
“Artificial Chemist is an autonomous system that can perceptively navigate through the chemical universe in order to developed material for industrial or manufacturing applications”
It is also stated that the Artificial Chemist concept is based on an autonomous system that is mainly designed and operated to logically navigate through the chemical ecosystem and results in the progress of useful materials for the use in manufacturing industries.
“It is expected the incorporation of autonomous materials R&D enabled by Artificial Chemist will open growth opportunities in the global market and create a scope for the investment for the activities such as development and manufacturing” – CFE Media and Technology
The advanced concept for growth of R&D of materials is initially demonstrated by the researchers to identify and manufacture the highly-qualified possible quantum dots for any color in 15 minutes or less. In addition, quantum dots are primarily crystals manufactured by humans to transport the electrons, it is widely used in the manufacturing of LED displays. Moreover, these researchers also identified that artificial chemists have the ability to detect and identify the best material to meet any suite of measurable properties – not just quantum dots.
Moreover, Abolhasani’s researchers carried out proof-of-concept testing in the Abolhasani lab, where they use the Artificial Chemist’s body that further uses in the process of the automated Nanocrystal Factory and NanoRobo flow synthesis platforms. The Artificial Chemist platform developed by the lab has estimated that it can be carried out to execute over 500 quantum dot synthesis experiments per day and it could run as many to 1,000, based on the process and material.
Considering the current commercialization of Artificial Chemist, it is designed and focus on the solution-processed materials, based on liquid chemical precursors. Such materials include quantum dots, metal/metal oxide nanoparticles, and metal-organic frameworks (MOFs) among others. In the market, the end result of the concept is fully autonomous materials development technology that is using in the global market to quickly identify ideal solution-processed materials and partial for tiny amounts of chemical precursors.
In conclusion, it is expected that it widely minimizes the extra cost and maintains a flow of an efficient manufacturing process through reduces the material waste in the process. Moreover, the growing focuses on artificial chemists is expected to generate investment in order to develop to efficiently execute the growth of R&D of materials. Also, it further enables the boundaries of materials properties for a given set of starting chemical precursors. Such factors are expected to enhance the demand of the artificial chemist, an automation-based concept, that further influenced the growth of R&D of materials.