Results 131 to 140 of about 110,828 (307)

E. coli Extracellular Matrix: A Tunable Composite With Hierarchical Structure

Advanced Materials, EarlyView.
The complex composite‐like mechanical behavior of E. coli biofilm matrix is the result of a synergic contribution of the rigid curli and swelling pEtN‐cellulose, and emerges from specific ratio and assembly conditions. The interactions between the two fibers govern biofilm hydration and characteristic wrinkling patterns, providing crucial insights for ...
Macarena Siri, Agustín Mangiarotti, Anne Seewald, Nikolai Rosenthal, Shahrouz Amini, Emeline Raguin, Peter Fratzl, Cécile M. Bidan   +7 more
wiley   +1 more source

The theory and application of non-stationary and deep Gaussian processes in regression problems

The focus of this work is the convergence of non-stationary and deep Gaussian process regression. More precisely, we follow a Bayesian approach to regression or interpolation, where the prior placed on the unknown function f is a non-stationary or deep
Osborne, Conor
core   +1 more source

Deck motion prediction using neural kernel network Gaussian process regression

Xibei Gongye Daxue Xuebao
Deck motion prediction and compensation are critical technologies for carrier-based aircraft automatic landing. Traditional deck motion prediction methods rely on precision of motion models and parameter adjustments, facing challenges in adaptability to ...
QIN Peng, LUO Jianjun, MA Weihua, WU Liming   +3 more
doaj   +1 more source

Combination of 3D and 2D Small and Wide Angle X‐Ray Scattering Imaging Reveals Diminished Bone Quality in the Superior Human Femoral Neck Cortex

Advanced Materials, EarlyView.
Combined 2D and 3D X‐ray scattering imaging is used to analyse nanostructural properties in the inferior and superior cortex of 78 human femoral necks from 44 donors. The methodology allows for increased interpretation of nanostructure in a statistically relevant dataset, revealing nanostructural differences in anatomical locations critical to clinical
Torne Tänzer, Tatiana Kochetkova, Arthur Baroni, Mathieu Simon, Mads Carlsen, Santiago Fernandez Bordin, Manuel Guizar‐Sicairos, Philippe Zysset, Marianne Liebi   +8 more
wiley   +1 more source

Online Quantum Mixture Regression for Trajectory Learning by Demonstration [PDF]

, 2013
16/01/14 MEB. Pre-print version OK to add.In this work, we present the online Quantum Mixture Model (oQMM), which combines the merits of quantum mechanics and stochastic optimization. More specifically it allows for quantum effects on the mixture states,
Dimitrios Korkinof, Demiris, Y, Korkinof, D, Yiannis Demiris   +3 more
core   +1 more source

Proper Complex Gaussian Processes for Regression

CoRR, 2015
Complex-valued signals are used in the modeling of many systems in engineering and science, hence being of fundamental interest. Often, random complex-valued signals are considered to be proper. A proper complex random variable or process is uncorrelated with its complex conjugate.
Rafael Boloix-Tortosa, F. Javier Payan-Somet, Eva Arias-de-Reyna, Juan José Murillo-Fuentes   +3 more
openaire   +2 more sources

Surface‐Functionalized LLZO‐Incorporated Multilayer Composite Solid Electrolytes for Dendrite Suppression and Efficient Ionic Conduction in Lithium–Metal Batteries

Advanced Materials, EarlyView.
A soft–hard tri‐layer composite electrolyte that couples fast Li+ transport with reinforced interfacial stability to enable high‐conductivity, mechanically robust, dendrite‐free lithium‐metal batteries. ABSTRACT The development of solid polymer electrolytes is central to safe, high‐energy lithium‐metal batteries (LMBs); however, persistent challenges ...
Fazal Ur Rehman, Minhong Woo, Hyesoo Choi, Jihwan Kim, Yujin Kim, Sanghee Park, Serim Ahn, Jinsub Lim, Minyoung Kim, Mincheol Chang   +9 more
wiley   +1 more source

Numerical Solutions of Hamilton-Jacobi Inequalities by Constrained Gaussian Process Regression

SICE Journal of Control, Measurement, and System Integration, 2018
This paper proposes numerical solutions of Hamilton-Jacobi inequalities based on constrained Gaussian process regression. While Gaussian process regression is a tool to estimate an unknown function from its input and output data conventionally, the ...
Kenji Fujimoto, Hirofumi Beppu, Yuji Takaki   +2 more
doaj   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

The Influence of Mesoscale Particle Structure on the Electrode Degradation and Resultant Electrochemistry of Lithium Ion Cells With Nickel Rich Lithium Nickel Manganese Cobalt Oxide Positive Electrodes

Advanced Materials Technologies, EarlyView.
Milled polycrystalline NMC811 cathode (MPC NMC) with smaller secondary particle and higher surface area had 1) greater cathode tortuosity, 2) reduced surface Ni on the cycled MPC cathodes consistent with surface reconstruction, and 3) increased Ni deposition from cathode‐anode crosstalk, manifesting in lower functional capacity and higher impedance ...
Edelmy J. Marin Bernardez, Andrew Nicoll, David J. Arnot, Armando Rodriguez Campos, Patrick J. Barry, Marie F. Millares, Cynthia Huang, Melissa A. Guercio, Grace K. Dono, Alexis Pace, Xianghui Xiao, Cherno Jaye, Conan Weiland, Jianming Bai, Hui Zhong, Michael Drakopoulos, Zhong Zhong, Nghia T. Vo, Xiao Tong, Esther S. Takeuchi, Amy C. Marschilok, Shan Yan, Kenneth J. Takeuchi   +22 more
wiley   +1 more source