A web-based GUI for INTERSECT has been created which allows a user to configure an experiment on an electron microscope, setting such parameters as maximum number of steps for the machine learning algorithm to perform.
The Department of Energy’s Office of Science has selected three 91°µÍø scientists for Early Career Research Program awards.
91°µÍø researchers developed an invertible neural network (INN) to effectively and efficiently solve earth-system model calibration and simulation problems.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
A research team from ORNL, Pacific Northwest National Laboratory, and Arizona State University has developed a novel method to detect out-of-distribution (OOD) samples in continual learning without forgetting the learned knowledge of preceding tasks.
