Results 91 to 100 of about 85,494 (314)
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
Computational Analysis and Classification of Hernia Repairs
Problems related to ventral hernia repairs (VHR) are very common, and evaluating them using computational methods can assist in selecting the most appropriate treatment.
Hana Charvátová +4 more
doaj +1 more source
Parameter estimation for INAR processes based on high-order statistics
The high-order statistics (moments and cumulants of order higher than two) have been widely applied in several fields, specially in problems where it is conjectured a lack of Gaussianity and/or non-linearity. Since the INteger-valued AutoRegressive, INAR,
Isabel Silva, M. Eduarda Silva
core
Drawing inspiration from the layered hard‐soft architecture found in sea sponges, this work establishes a new framework for architected cementitious composites (ACC) through multi‐material additive manufacturing (MMAM) process. The integration of mortar and elastomer phases into layered architectures enables synergistic toughening mechanisms, including
Aimane Najmeddine +5 more
wiley +1 more source
Parallelized Adaptive Importance Sampling for Solving Inverse Problems
In the field of groundwater hydrology and more generally geophysics, solving inverse problems in a complex, geologically realistic, and discrete model space often requires the usage of Monte Carlo methods.
Christoph Jäggli +2 more
doaj +1 more source
Bayesian computational methods (2e ed.)
In this chapter, we will first present the most standard computational challenges met in Bayesian Statistics, focussing primarily on mixture estimation and on model choice issues, and then relate these problems with computational solutions.
Robert, Christian P.
core
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia +3 more
wiley +1 more source
SampSizeCal: The platform-independent computational tool for sample sizes in the paradigm of new statistics [PDF]
Dependent upon the statistical significance p-value and statistical power, the sample size estimation is widely used in various experimental sciences.
WenJun Zhang
doaj
Quantum speedup for nonreversible Markov chains
Quantum algorithms can potentially solve a handful of problems more efficiently than their classical counterparts. In that context, it has been discussed that Markov chains problems could be solved significantly faster using quantum computing.
Baptiste Claudon +2 more
doaj +1 more source
A deconvolution approach to estimation of a common shape in a shifted curves model [PDF]
This paper considers the problem of adaptive estimation of a mean pattern in a randomly shifted curve model. We show that this problem can be transformed into a linear inverse problem, where the density of the random shifts plays the role of a ...
Jérémie Bigot +3 more
core +1 more source

