Results 211 to 220 of about 7,726,210 (354)
Machine learning tool for wave overtopping prediction based on the safety-operability ratio
Humberto Carro +7 more
openalex +2 more sources
TPOT: A Tree-Based Pipeline Optimization Tool for Automating Machine Learning [PDF]
Randal S. Olson, Jason H. Moore
openalex +1 more source
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
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
Lipid nanoparticles (LNPs) are optimized to co‐deliver Cas9‐encoding messenger RNA (mRNA), a single guide RNA (sgRNA) targeting the endogenous cystic fibrosis transmembrane conductance regulator (CFTR) gene, and homologous linear double‐stranded donor DNA (ldsDNA) templates encoding CFTR.
Ruth A. Foley +12 more
wiley +1 more source
Micropatterned Biphasic Printed Electrodes for High‐Fidelity on‐Skin Bioelectronics
Micropatterned biphasic printed electrodes achieve unprecedented skin conformity and low impedance by combining liquid‐metal droplets with microstructured 3D lattices. This scalable approach enables high‐fidelity detection of ECG, EMG, and EEG signals, including alpha rhythms from the forehead, with long‐term comfort and stability.
Manuel Reis Carneiro +4 more
wiley +1 more source
Research on the Motor Capabilities of the Kinematic Links of the Machine with PKM During Shaping Movements with an Axial Tool [PDF]
Dmytro Vakhnichenko +2 more
openalex +1 more source
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto +8 more
wiley +1 more source

