Results 141 to 150 of about 3,503 (278)

opXRD: Open Experimental Powder X‐Ray Diffraction Database

Advanced Intelligent Discovery, EarlyView.
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek, Henrik Schopmans, Jona Östreicher, Jonas Teufel, Bin Cao, Adie Alwen, Simon Schweidler, Mriganka Singh, Tim Kodalle, Hanlin Hu, Gregoire Heymans, Maged Abdelsamie, Arthur Hardiagon, Alexander Wieczorek, Siarhei Zhuk, Ruth Schwaiger, Sebastian Siol, François‐Xavier Coudert, Moritz Wolf, Carolin M. Sutter‐Fella, Ben Breitung, Andrea M. Hodge, Tong‐yi Zhang, Pascal Friederich   +23 more
wiley   +1 more source

Demonstration of a mobile optical clock ensemble at sea. [PDF]

Nat Commun
Hilton AP, Offer RF, Klantsataya E, Scholten SK, Bourbeau Hébert N, Billington CJ, Locke C, Perrella C, Nelligan M, Allison JW, White B, Ahern E, Martin KW, Beard R, Elgin JD, Sparkes BM, Luiten AN.   +16 more
europepmc   +1 more source

Improved BDS-2/3 Satellite Ultra-Fast Clock Bias Prediction Based with the SSA-ELM Model. [PDF]

Sensors (Basel), 2023
Ya S, Zhao X, Liu C, Chen J, Liu C.
europepmc   +1 more source

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

Advanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira, Marcos de C. Leite, Pedro H. M. Zanineli, Juliana N. Y. Costa, Débora M. Cunha, Sophia P. Serra, Pedro H. Sophia, Flávio M. Shimizu, Yasmin W. Moura, Célio C. Oliveira, Gabriel R. Schleder, Gabriela F. Persinoti, Leandro Merces, Renato S. Lima   +13 more
wiley   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

Long-Term Stability Improvements of the Miniature Atomic Clock Through Enhanced Thermal Environmental Control. [PDF]

Sensors (Basel)
Gokie E, Omaraie J, Bandi TN.
europepmc   +1 more source

Realization of a compact mercury ion microwave clock with frequency stability of 6.3 × 10^- 16. [PDF]

Sci Rep
Liu H, Chen Y, Wang J, Huang S, Xiang L, Yu S, Li C, Du L, She L.   +8 more
europepmc   +1 more source

High-Precision Time Synchronization and Autonomous Maintenance for LEO Satellite Constellations Based on High-Stability Crystal Oscillators. [PDF]

Sensors (Basel)
Mu L, Hu X, Wu M, Li J.
europepmc   +1 more source

Potassium Migration of Chestnut Shell Ashes Under Oxidizing Atmosphere and Its Modification Mechanism by Additives

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Biomass energy plays a critical role in alleviating environmental pressures. However, its relatively high content of alkali metals (especially for potassium) would cause ash‐related issues during combustion. To mitigate these issues, the potassium migration behaviors during chestnut shell (CS) conversion and the modification mechanisms of ...
Meijie Zhou, Weijie Guo, Fenghai Li, Xuefei Liu, Ziqiang Yang, Mingjie Ma, Yitian Fang   +6 more
wiley   +1 more source

Wafer-scale integration of photonic integrated circuits and atomic vapor cells. [PDF]

Nanophotonics
Grosman A, Zektzer R, Mazurski N, Stern L, Levy U.   +4 more
europepmc   +1 more source