Results 231 to 240 of about 6,149,586 (334)

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

Advanced 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, Md Shakhawath Hossain, Nhat Minh Nguyen, Yongliang Chen, Chaohao Chen, Xiaoxue Xu, Quang Thang Trinh, Toan Dinh, Toan Trong Tran   +8 more
wiley   +1 more source

Synchrotron Radiation for Quantum Technology

Advanced 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, Sakura Pascarelli, Klaus Attenkofer, Anna A. Makarova, Karsten Holldack, Kai Rossnagel, Kristiaan Temst, George Kourousias, Stefano Carretta, Caterina Biscari, Helmut Dosch   +10 more
wiley   +1 more source

Comprehensive Assessment and Early Prediction of Gross Motor Performance in Toddlers With Graph Convolutional Networks-Based Deep Learning: Development and Validation Study. [PDF]

JMIR Form Res
Chun S, Jang S, Kim JY, Ko C, Lee J, Hong J, Park YR.   +6 more
europepmc   +1 more source

Deep Learning-based PjBL-based Teaching Material Development Training for Strengthening Pancasila Student Profiles in Junior High School Teachers

Sri Suryaningsih, Arwan Arwan, Try Supriyanto, Nuraini Rahma, Ayu Citra Lestari   +4 more
openalex   +2 more sources

Informal Learning in a Social Context: Development and Validation of a Scale

, 2014
Dominik E. Froehlich, Beausaert Simon, Segers Mien   +2 more
openalex   +1 more source

Atomic Size Misfit for Electrocatalytic Small Molecule Activation

Advanced 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, Changfan Xu, Huaping Zhao, Yong Lei   +3 more
wiley   +1 more source

Automatic Calculation of Cervical Spine Parameters Using Deep Learning: Development and Validation on an External Dataset. [PDF]

Global Spine J
Nakarai H, Cina A, Jutzeler C, Grob A, Haschtmann D, Loibl M, Fekete TF, Kleinstück F, Wilke HJ, Tao Y, Galbusera F.   +10 more
europepmc   +1 more source

Development of a Machine Learning-based Framework for Real-time Detection and Mitigation of Distributed Denial of Service Attacks

Onaolapo, Oluyimide, A, Ojo, Adebola, K
openalex   +1 more source

Predicting agranulocytosis in patients treated with clozapine – development and validation of a machine learning algorithm based on 5,550 patients [PDF]

Ebenezer Oloyede, Juan Miguel Lopez Alcaraz, Eromona Whiskey, Olubanké Dzahini, Dan W. Joyce, Sukhwinder S. Shergill, Nils Strodthoff, David Taylor, Christian Bachmann   +8 more
openalex   +1 more source