
Deep Learning-Drives Insights into Protein-Protein Interactions
Researchers demonstrate a real-world large-scale application of deep neural network models for discovering novel protein-protein interactions.
Researchers demonstrate a real-world large-scale application of deep neural network models for discovering novel protein-protein interactions.
Researchers develop the first 2D telecommunication-compatible quantum light source, smoothing the path toward a quantum internet.
Long predicted by theory with support from supercomputers, this combination of neutrons advances nuclear physics
Quantum technique accelerates identification of entangled materials.
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.
Scientists demonstrate the value of a new global atmosphere model for the Energy Exascale Earth System Model.
Scientists use gate set tomography to discover and validate a silicon qubit breakthrough.
Physicists use the Summit supercomputer to better understand a family of superconductors.
A team using the nation’s fastest supercomputer to look at protein binding finds that some binding processes are simpler than expected.
Interactions of quantum “quasiparticles” demonstrate unusual fluid flow.
A team studied some of the smallest particles in the Universe on the nation’s fastest computer, Summit at Oak Ridge National Laboratory.