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
OFGPMA: Optimal frequency graph representation learning for pseudogene and miRNA association prediction. [PDF]
Zeng Y, Xiong L, Luo Y.
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
GLARE: discovering hidden patterns in spaceflight transcriptome using representation learning. [PDF]
Seo D +6 more
europepmc +1 more source
Atomic Size Misfit for Electrocatalytic Small Molecule Activation
This review explores the application and mechanisms of atomic size misfit in catalysis for small molecule activation, focusing on how structural defects and electronic properties can effectively lower the energy barriers of chemical bonds in molecules like H2O, CO2, and N2.
Ping Hong +3 more
wiley +1 more source
Correction: MultiFAR: Multidimensional information fusion with attention-driven representation learning for student performance prediction. [PDF]
Fazil M, Albahlal BM.
europepmc +1 more source
Latent learning without map-like representation of space in navigating ants [PDF]
Léo Clément +2 more
openalex +1 more source
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Characterization of the heterogeneity in SARS-CoV-2 fitness dynamics via graph representation learning. [PDF]
Wang Z +14 more
europepmc +1 more source
GTEA: Representation Learning for Temporal Interaction Graphs via Edge Aggregation. [PDF]
Yiming Li +7 more
openalex

