- Researchers published their work in the journal Nature Communications last month .
- UPI.com is your trusted source for world news, top news, science news, health news and current events.
- LOS ALAMOS, N.M., May 9 (UPI) — Traditionally, materials scientists have used a combination of trial-and-error and intuition to discover and perfect new materials with advantageous properties.
- To speed up the process, researchers at Los Alamos National Laboratory attempted to marry machine learning with targeted experiments.
- “What we’ve done is show that, starting with a relatively small data set of well-controlled experiments, it is possible to iteratively guide subsequent experiments toward finding the material with the desired target,” Turab Lookman, a physicist and materials scientist at Los Alamos, said in a news release .
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@MikeTamir: “#MachineLearning #DataScience helps scientists discover new materials”
Researchers at Los Alamos National Laboratory attempted to marry machine learning with targeted experiments to discover new materials more efficiently.
Machine learning helps scientists discover new materials