![Oak Ridge National Laboratory researchers used an invertible neural network, a type of artificial intelligence that mimics the human brain, to select the most suitable materials for desired properties, such as flexibility or heat resistance, with high chemical accuracy. The study could lead to more customizable materials design for industry.](/sites/default/files/styles/list_page_thumbnail/public/2022-04/CCSD_NeuralNetworkBanner.png?h=b16f811b&itok=fxqDEvs_)
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
Gilles Buchs has spent his career working in the fields of nanoscience, photonics systems and quantum technologies in academia and industry.
Lawrence Berkeley National Laboratory physicists Christian Bauer, Marat Freytsis and Benjamin Nachman have leveraged an IBM Q quantum computer through the Oak Ridge Leadership Computing Facility’s Quantum Computing User Program to capture part of a
A force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.
Computational users at the Oak Ridge Leadership Computing Facility, or OLCF, are running scientific codes on Frontier’s architecture in the form of a powerful test system at the OLCF called Crusher.
A study by researchers at the ORNL takes a fresh look at what could become the first step toward a new generation of solar batteries.