Materials informatics is a field of study that applies the principles of informatics to materials science and engineering to better understand the use, selection, development, and discovery of materials. This is an emerging field, with a goal to achieve high-speed and robust acquisition, management, analysis, and dissemination of diverse materials data with the goal of greatly reducing the time and risk required to develop, produce, and deploy a new materials, which generally takes longer than 20 years.[Source: Wikipedia.org]
Will digitalisation on conventional Materials science and engineering be through AI driven Materials Informatics?
In my eyes, it depends! Materials scientists are a secretive bunch, generating huge amounts of intellectual property (with all the protections associated.) That attribute is likely the crux in developing the source databases needed for data mining and dissemination.
However, the benefits of digitization over the last twenty years has been spectacular in materials development, as scientists now have access to myriad patents, publications, and whitepapers on different materials.
Regardless, it is an open question as to the benefits of informatics in materials selection for an application. I've watched this over years and believe now that while it is a valuable tool in the toolbox, it requires engineers and businesses to engage in robust hands-on science to ensure integrity of their products.
material science is the high compute damaging science than whether prediction or any other science in the world, that is is why still people do trial and error method in new material synthesis - any computing work in support to material scientist and engineering in desktop level is highly recommended
Not necessarily. However, access to digitized info and open databases will. AI will add speed, focus, easiness, feasibility to approach and perform, tackling complex and multi-factored problems.
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