Results 91 to 100 of about 704,169 (290)
Light detection and ranging (LiDAR) is commonly used to create high-resolution maps; however, the efficiency and convergence of parameter estimation are difficult.
Ke Wang +4 more
doaj +1 more source
Predicting Atomic Charges in MOFs by Topological Charge Equilibration
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi +2 more
wiley +1 more source
Tikhonov Regularized Variable Projection Algorithms for Separable Nonlinear Least Squares Problems
This paper considers the classical separable nonlinear least squares problem. Such problems can be expressed as a linear combination of nonlinear functions, and both linear and nonlinear parameters are to be estimated.
Zhengqing Fu, Lanlan Guo
doaj +1 more source
Nonparametric Stochastic Volatility [PDF]
Using recent advances in the nonparametric estimation of continuous-time processes under mild statistical assumptions as well as recent developments on nonparametric volatility estimation by virtue of market microstructure noise-contaminated high ...
Federico M. Bandi, Roberto Reno
core
Shaping Ti3C2 MXene Nanospheres for Precision Near‐Infrared Photothermal Therapy
In this study, we report producing spherical MXenes via fs laser fragmentation of Ti3C2 flakes in liquid medium. The nanoparticles demonstrated pronounced light absorption and high photothermal conversion efficiencies of 68% and 63% under heating with NIR‐I and NIR‐II lasers, respectively.
Julia S. Babkova +21 more
wiley +1 more source
Parameter estimation is an important problem in nonlinear system modeling and control. Through constructing an appropriate fitness function, parameter estimation of system could be converted to a multidimensional parameter optimization problem.
Shaolong Chen +9 more
doaj +1 more source
Exact Nonlinear State Estimation
Abstract The majority of data assimilation (DA) methods in the geosciences are based on Gaussian assumptions. While such approximations facilitate efficient algorithms, they cause analysis biases and subsequent forecast degradations. Nonparametric, particle-based DA algorithms have superior accuracy, but their application to high-dimensional models ...
openaire +2 more sources
Atomic‐Scale Light Coupling Control in Ultrathin Photonic Membranes
Ultrathin photonic nanomembranes provide atomic‐scale control over the coupling between incident light and high‐Q photonic modes, enabling angstrom‐level resonance tuning and strong field confinement. When integrated with TMD monolayers, they further yield enhanced light–matter interactions, offering a versatile platform for advancing quantum photonics,
Chih‐Zong Deng +8 more
wiley +1 more source
Residual stress has significant influence on the performance of mechanical components, and the nondestructive estimation of residual stress is always a difficult problem.
Yu-Hua Zhang +5 more
doaj +1 more source
In this paper, we consider the state estimation problem for flexible joint manipulators that involve nonlinear characteristics in their stiffness. The two key ideas of our design are that (a) an accelerometer is used in order that the estimation error ...
Kyung-Tae Nam +3 more
doaj +1 more source

