Results 211 to 220 of about 1,526,545 (357)

Printing Nacre‐Mimetic MXene‐Based E‐Textile Devices for Sensing and Breathing‐Pattern Recognition Using Machine Learning

Advanced Functional Materials, EarlyView.
This study presents a Ti3C2Tx MXene/WPU nacre‐mimetic nanomaterial as a printable ink for direct‐write printing onto textiles‐based sensors. The resulting wearable device demonstrates high sensitivity, biocompatibility, and mechanical strength. Furthermore, NFC‐enabled humidity sensor produces time‐series data, which informs a machine learning ...
Lulu Xu, Wenqing Chen, Qian Li, Rohit Gupta, Biswajoy Bagchi, Laurence B. Lovat, Manish K. Tiwari   +6 more
wiley   +1 more source

Quantized gauge theory on the fuzzy sphere as random matrix model [PDF]

, 2003
Harold Steinacker
openalex   +1 more source

Cleaning large correlation matrices: tools from random matrix theory [PDF]

, 2016
J. Bun, J. Bouchaud, M. Potters
semanticscholar   +1 more source

3D Concrete Printing of Triply Periodic Minimum Surfaces for Enhanced Carbon Capture and Storage

Advanced Functional Materials, EarlyView.
A 3D‐printable and carbon‐capturing concrete is developed by replacing cement with diatomaceous earth (DE), which enhances rheology, provides hierarchical porosity, and serves as a nucleation site for carbonation. Maximum absorption of 488.7 gCO2 kgcement−1 is achieved in 7 days, a 142% increase over conventional concrete, and the triply periodic ...
Kun‐Hao Yu, Teng Teng, So Hee Nah, Hua Chai, Yefan Zhi, Kun‐Yu Wang, Yinding Chi, Peter Psarras, Masoud Akbarzadeh, Shu Yang   +9 more
wiley   +1 more source

Accounting for Sampling Error in Genetic Eigenvalues Using Random Matrix Theory. [PDF]

Genetics, 2017
Sztepanacz JL, Blows MW.
europepmc   +1 more source

Applications of Ideas from Random Matrix Theory to Step Distributions on “Misoriented” Surfaces [PDF]

, 2003
T. L. Einstein
openalex   +1 more source

The Hierarchical Structure of Sheep Wool and Its Impact on Physical Properties

Advanced Functional Materials, EarlyView.
Sheep wool, a prevalent α‐keratinous fiber, is an essential model for studying protein‐based fibers. Its genetic diversity across breeds enables the establishment of multiscale structure‐property relationships, uncovering previously elusive insights into wool's hierarchical structure.
Serafina R. France Tribe, Paloma X. Lee, Caterina Czibula, Mónica G. Simões, Reiner Bleher, Keith E. Duncan, Michael Thoman, Christopher N. Topp, Vinayak P. Dravid, Cécile A. C. Chazot   +9 more
wiley   +1 more source

Unsupervised gene set testing based on random matrix theory. [PDF]

BMC Bioinformatics, 2016
Frost HR, Amos CI.
europepmc   +1 more source

Random matrix theory in lattice statistical mechanics [PDF]

, 2003
J C Anglès d'Auriac, J.-M. Maillard
openalex   +1 more source

Unlocking the Full Potential of MgAgSb by Unravelling the Interrelation of Phase Constitution and Thermoelectric Properties

Advanced Functional Materials, EarlyView.
Persistent secondary phases govern the performance of many thermoelectric materials, particularly of high performance MgAgSb. In this study advanced microstructural characterization for unequivocal phase identification combined with transport modeling and statistical analysis enabled the quantification of each phase's impact, revealing the most ...
Amandine Duparchy, Frederic Kreps, Eckhard Müller, Johannes de Boor   +3 more
wiley   +1 more source