Results 211 to 220 of about 2,204,167 (303)

Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications

open access: yesAdvanced Functional Materials, EarlyView.
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

Synchrotron Radiation for Quantum Technology

open access: yesAdvanced Functional Materials, EarlyView.
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]

open access: yesNPJ Microgravity
Seo D   +6 more
europepmc   +1 more source

Atomic Size Misfit for Electrocatalytic Small Molecule Activation

open access: yesAdvanced Functional Materials, EarlyView.
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

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
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]

open access: yesPLoS Comput Biol
Wang Z   +14 more
europepmc   +1 more source

GTEA: Representation Learning for Temporal Interaction Graphs via Edge Aggregation. [PDF]

open access: green, 2020
Yiming Li   +7 more
openalex  

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