Uncovering the Hidden Disorder in Silicon Quantum Computers
Researchers map the variation in materials to the atom level to scale up silicon qubits
Researchers map the variation in materials to the atom level to scale up silicon qubits
Researchers validate a new workflow for plasma transport models, aiding future fusion device design.
Scientists found two competing mechanisms that contribute to the deformation of nanosheet materials used in cutting-edge computer components.
Scientists develop a new approach for detecting defects in metal parts produced by additive manufacturing.
Precise measurement of beryllium-7 nuclear decay recoils directly probes the quantum properties of the neutrino for the first time.
Inorganic precursors chosen based on new criteria led to higher phase purity for 32 out of 35 target materials synthesized in a robotic laboratory.
Integrating machine learning with real-time adaptive control produces high-performance plasmas without edge instabilities, a key for future fusion reactors.
Neutron experiments revealed microscopic details about a special 3D-printed superalloy that could potentially reduce component costs.
Researchers design ultra-low radiation cables to reduce background noise for highly sensitive nuclear decay and dark matter detectors.
Scientists engineered a model bacterium's genetic code to make it virus-resistant and unable to exchange genetic material or grow without special media.
Three proteins work together to transmit signals for cell division, revealing new targets for cancer-fighting drugs.
Researchers worked out how to efficiently prepare wave functions for the lithium-6 nuclear ground state and implemented those on quantum hardware.