Slight imperfections in state-of-the-art electronics demand novel corrections in the search for a rare nuclear decay.
Electrides are an unusual family of materials that feature loosely bonded electrons that occupy special interstitial sites and serve as anions.
The dynamic of complex ordering systems with active rotational degrees of freedom exemplified by protein self-assembly is explored using a machine learning workflow that combines deep learning-based semantic segmentation and rotationally invariant
ALICE Experiment in preparation for next data collection period at the CERN Large Hadron Collider.
Researchers decrypted the formation of passivation layers for the promising bis-(fluorosulfonyl)-imide (FSI-) based ionic liquid electrolyte on carbon electrodes at high cell voltages.
Quantum Monte Carlo (QMC) methods are used to find the structure and electronic band gap of 2D GeSe, determining that the gap and its nature are highly tunable by strain.
Strain developed during the coalescence of growing 2D crystals was shown to induce the nucleation of twisted bilayers with predictable twist angles. This work provides a pathway to synthetically control stacking angles in 2D heterostructures for
Quantum Monte Carlo simulations reveal that Cooper pairs in the cuprate high-Tc superconductors are composed of electron holes on the Cu-d orbital and on the bonding molecular orbital constructed from the four surrounding O-p orbitals.
Scalable graphene synthesis and facile large-area membrane fabrication are imperative to advance nanoporous atomically thin membranes (NATMs) for molecular separations.
We present an integrated experimental and modeling approach to characterize the morphology of thin films containing asymmetric diblock copolymers.