Materials science AI is Coming

Amatrium, a new startup with grandiose plans has launched a software which will enable new material discovery and research much faster. As company puts this – when an innovative material is needed to build world’s tallest building or land to a distant planet – and your job is to make devices for that, you will want to use Amatrium.

Materials scientists and engineers think up the incredible and often sci-fi-like required properties of new materials. For example: “We need a metal to use for an engine capable of landing on Mars.” Or, “We need a load-bearing material to build a mile-high skyscraper.” How durable should it be? What temperatures should it be able to withstand? After formulating the right questions, professionals must spend years synthesizing relevant information to make it a reality.

From advancing space exploration to creating self-driving vehicles and drones to building taller and more adventurous architecture, materials science innovations are behind some of the most groundbreaking technological enhancements of our times.

Amatrium latest software can facilitate researching and validating new materials at a rate up to five times faster than current processes. Their innovation has the potential to bring forward the next major technological breakthroughs a few years sooner than would otherwise occur. built the first-of-its-kind artificial intelligence software to relieve humans of such burdensome research. It replaces years of research and development with software that quickly narrows the search to the most-likely-to-succeed material compositions. By simply inputting the desired properties of the new material, users get an instant ‘recipe.’ The materials would still need to be produced based on this formula; but getting to the ‘recipe’ would already render the development process many times faster, and with a much greater likelihood of success.

This is just one of the many use cases for Amatrium’s software. Material Selector, one of the company’s products, allows users to select alternative materials instead of unavailable ones. For example, a construction project might need a special kind of aluminum not currently procurable. Amatrium’s selector can consider another type of aluminum that is very similar in properties but outside the initial composition range. It can determine whether that type of aluminum would still be suitable for the project, given all the requirements. The selector can even provide a price range and look up suppliers.

Jhon Digital
Jhon Digital
Ravi Suri is a well-known tech - Digital Marketing writer with the abilities to keep a track and predict the market trends with the utmost accuracy. His extensive knowledge in tech and digital marketing is remarkable as he has worked in the Digital Marketing industry for 9 years. He is also an expert in writing many Digital Marketing and tech related articles and blogs, so he is a renowned Digital Marketing blogger too.



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