Machine Learning offers New Insights and New Parameterization for the path from Drizzle Drops to Warm Rain
Machine Learning offers New Insights and New Parameterization for the path from Drizzle Drops to Warm Rain
Joel Moore and Joseph W. Orenstein of the Materials Sciences Division have been elected into the National Academy of Sciences. They join 120 scientists and engineers from the U.S. and 30 from across the world as new lifelong members and foreign associates.
Noise estimation circuits, in conjunction with other error mitigation methods, produce reliable results for quantum computer-based materials simulations.
Researchers enable real-time adjustments to communication among three remote nodes in a quantum network.
Computers learn from a combination of experimental and evolutionary data to enhance the function of useful proteins.
Unconventional superconductors carry electrical current with zero resistance in ways that defy our previous understanding of physics. A recent study led by Berkeley Lab could help researchers advance future applications in next-gen energy storage, supercomputing, and magnetic levitating trains.
Unconventional superconductors carry electrical current with zero resistance in ways that defy our previous understanding of physics. A recent study led by Berkeley Lab could help researchers advance future applications in next-gen energy storage, supercomputing, and magnetic levitating trains.
Scientists use gate set tomography to discover and validate a silicon qubit breakthrough.
MIT physicists and colleagues, including scientists from Berkeley Lab, have discovered the “secret sauce” behind the exotic properties of a new quantum material known as a kagome metal.
As the name implies, crystallography requires crystals – specifically, purified samples of the molecule of interest, coaxed into a crystal form. But most molecules form powders composed of jumbled granules, not picture-ready crystals. A new computer algorithm, combined with a state-of-the-art laser, can adapt X-ray crystallography for the many not-so-neat-and-tidy compounds that scientists seek to study.