Results 291 to 300 of about 3,790,950 (369)
Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai +8 more
wiley +1 more source
Charge transfer governed interlayer magnetic coupling and symmetry breaking in a van der Waals magnet. [PDF]
Hong C +10 more
europepmc +1 more source
This study presents novel anti‐counterfeiting tags with multilevel security features that utilize additional disguise features. They combine luminescent nanosized Ln‐MOFs with conductive polymers to multifunctional mixed‐matrix membranes and powder composites. The materials exhibit visible/NIR emission and matrix‐based conductivity even as black bodies.
Moritz Maxeiner +9 more
wiley +1 more source
Loss induced delocalization of topological boundary modes. [PDF]
Tang Y +8 more
europepmc +1 more source
Synchrotron Radiation for Quantum Technology
Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader +10 more
wiley +1 more source
OAM multiplication operator enabled holographic multiplexing. [PDF]
Shen F +8 more
europepmc +1 more source
Enhancing Low‐Temperature Performance of Sodium‐Ion Batteries via Anion‐Solvent Interactions
DOL is introduced into electrolytes as a co‐solvent, increasing slat solubility, ion conductivity, and the de‐solvent process, and forming an anion‐rich solvent shell due to its high interaction with anion. With the above virtues, the batteries using this electrolyte exhibit excellent cycling stability at low temperatures. Abstract Sodium‐ion batteries
Cheng Zheng +7 more
wiley +1 more source
Physics-Informed Neural-Network-Based Generation of Composite Representative Volume Elements with Non-Uniform Distribution and High-Volume Fractions. [PDF]
Zheng T, Cai C, Yang F, Wang R, Liu W.
europepmc +1 more source
Physics-informed machine learning analysis for nanoscale grain mapping by synchrotron Laue microdiffraction. [PDF]
Chan KH, Huang X, Tamura N, Chen X.
europepmc +1 more source

