A team of MU researchers are applying one of the first uses of artificial intelligence principles to the field of materials science
Discovering how atoms — such as a single layer of carbon atoms found in graphene, one of the world’s strongest materials — work to create a solid material is currently a major research topic in the field of materials science, or the design and discovery of new materials. At the University of Missouri, researchers in the College of Engineering are applying one of the first uses of deep learning — the technology computers use to intelligently perform tasks such as recognizing language and driving autonomous vehicles — to the field of materials science.
“You can train a computer to do what it would take many years for people to otherwise do,” said Yuan Dong, a research assistant professor of mechanical and aerospace engineering and lead researcher on the study. “This is a good starting point.”
Dong worked with Jian Lin, an assistant professor of mechanical and aerospace engineering, to determine if there was a way to predict the billions of possibilities of material structures created when certain carbon atoms in graphene are replaced with non-carbon atoms.
“If you put atoms in certain configurations, the material will behave differently,” Lin said. “Structures determine the properties. How can you predict these properties without doing experiments? That’s where computational principles come in.”
Lin and Dong partnered with Jianlin Cheng, a William and Nancy Thompson Professor of Electrical Engineering and Computer Science at MU, to input a few thousand known combinations of graphene structures and their properties into deep learning models. From there, it took about two days for the high-performance computer to learn and predict the properties of the billions of other possible structures of graphene without having to test each one separately.
Researchers envision future uses of this artificial intelligence assistive technology in designing many different graphene related or other two-dimensional materials. These materials could be applied to the construction of LED televisions, touch screens, smartphones, solar cells, missiles and explosive devices.
“Give an intelligent computer system any design, and it can predict the properties,” Cheng said. “This trend is emerging in the material science field. It’s a great example of applying artificial intelligence to change the standard process of material design in this field.”
The Latest on: Material science
via Google News
The Latest on: Material science
- MIT’s New Center to Advance Predictive Simulation Research Will Focus on Exascale Simulation of Materials in Hypersonic Flow Environmentson November 27, 2020 at 10:31 pm
Center to advance predictive simulation research established at MIT Schwarzman College of Computing MIT is among nine universities selected as part of a program sponsored by the DoE to support science ...
- 4-H ignites a passion for science and technology in Minnesota youthon November 27, 2020 at 12:49 pm
Imagine. Your whole body vibrates as your spacecraft prepares for ascent; indicator knobs light up like fireworks in the sky. With hands-on activities in tow; space command counts down for ...
- Neste and DSM partner to create high performance materials made from sustainable feedstockon November 27, 2020 at 8:20 am
Royal DSM, a global science-based company active in nutrition, health and sustainable living, today announced that it will start a strategic partnership with Neste, the world’s leading producer of ...
- London Science Museum IMAX Reopens With Both Laser And 70mmon November 26, 2020 at 7:50 am
In excellent news for premium format cinema in the UK, the Science Museum in London has announced that its IMAX screen will reopen on 9 December 2020 sporting both IMAX Laser and IMAX 70mm projectors.
- Plasma-developed new material fundamental to Internet of Thingson November 26, 2020 at 7:10 am
QUT Professor Ken Ostrikov from the School of Chemistry and Physics and QUT Centre for Materials Science said the new material could be used to develop new transistor devices for electronics and ...
- Dow to participate in Citi 2020 Global Basic Materials Virtual Conferenceon November 25, 2020 at 10:00 am
Howard Ungerleider, president and chief financial officer, Dow Inc. (NYSE: DOW), will participate in a virtual fireside chat during the Citi 2020 Glob ...
- New Material 'Mines' Copper From Toxic Wastewateron November 25, 2020 at 8:44 am
But what do you do when that once pristine water is polluted with wastewater from abandoned copper mines? A promising solution relies on materials that capture heavy metal atoms, such as copper ions, ...
- Blow your kid's mind with the VR Universe and Bill Nye's VR Science kit for the holidayson November 25, 2020 at 4:33 am
This year, you can give your kids the gift of science with fully immersive VR experiments. Two of the coolest gifts for science or space-obsessed kids are Bill Nye's Virtual Reality Science Kit ($60) ...
- Next Generation of Dermal Infilling Materials Market Rising Technologies 2021-2030| Allergan, Galderma, LG LIFE & SCIENCEon November 23, 2020 at 7:04 am
Market.us promoted statistical coverage and future projections for “Dermal Infilling Materials” Market draw out 2021 growth statistics and contributions by leading industry players like Allergan, ...
- Electronic Packaging Materials Science Von November 22, 2020 at 7:38 pm
Looking for an examination copy? If you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact [email protected] ...
via Bing News