Scientists use machine learning to accelerate materials discovery
Materials — we use them, wear them, eat them and create them. Sometimes we invent them by accident, like with Silly Putty. But far more often, making useful materials is …
Soaking up the sun with artificial intelligence
The sun continuously transmits trillions of watts of energy to the Earth. It will be doing so for billions more years. Yet, we have only just begun tapping into that …
Uncovering nature’s patterns at the atomic scale in living color
Color coding makes aerial maps much more easily understood. Through color, we can tell at a glance where there is a road, forest, desert, city, river or lake. Working with …
Computer hardware mimics brain functions
What if computers could learn to reconfigure their circuits when presented with new information? A multi-institutional team, including the U.S. Department of Energy’s (DOE) Argonne National Laboratory, has developed a …
MICROE4AI: AI 2.0
For some people, the words Artificial Intelligence (AI) and Machine Learning (ML) may conjure images of a dystopian world of machines, which are stronger, think faster, have no morality, and …
Machine Learning Fuels Materials Science and Search in Continuous Action Spaces
Using computing resources at the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory (Berkeley Lab), researchers at Argonne National Laboratory have succeeded in exploring important materials-science …
Machine learning program for games inspires development of groundbreaking scientific tool
We learn new skills by repetition and reinforcement learning. Through trial and error, we repeat actions leading to good outcomes, try to avoid bad outcomes and seek to improve those …
Ancient art meets AI for better materials design
Kirigami is the Japanese art of paper cutting. Likely derived from the Chinese art of jiǎnzhǐ, it emerged around the 7th century in Japan, where it was used to decorate …
Algorithm could shorten quality testing, research in many industries by months
A machine-learning algorithm developed at Sandia could provide auto manufacturing, aerospace and other industries a faster and more cost-efficient way to test bulk materials. The technique was published recently in …
Algorithm could shorten quality testing, research in many industries by months
A machine-learning algorithm developed at Sandia National Laboratories could provide auto manufacturing, aerospace and other industries a faster and more cost-efficient way to test bulk materials. The technique was published …