Results 81 to 90 of about 1,054,196 (331)
Scanning transmission electron microscopy imaging techniques are an essential tool to document dynamic developments, such as precipitation in aluminum alloys, during in situ heating experiments using transmission electron microscopy. However, in many cases, chemical information is required to interpret complex nanoscale processes.
Evelin Fisslthaler +4 more
wiley +1 more source
Interpolation based on context modeling for hierarchical compression of multidimensional signals [PDF]
Context algorithms for interpolation of multidimensional signals in the compression problem are researched. A hierarchical compression method for arbitrary dimension signals is considered.
Mikhael Gashnikov
doaj +1 more source
A Hybrid Missing Data Imputation Method for Batch Process Monitoring Dataset
Batch process monitoring datasets usually contain missing data, which decreases the performance of data-driven modeling for fault identification and optimal control. Many methods have been proposed to impute missing data; however, they do not fulfill the
Qihong Gan +4 more
doaj +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Harmonic functions on multiplicative graphs and interpolation polynomials [PDF]
We construct examples of nonnegative harmonic functions on certain graded graphs: the Young lattice and its generalizations. Such functions first emerged in harmonic analysis on the infinite symmetric group.
Borodin, Alexei, Olshanski, Grigori
core +2 more sources
Shepard’s method of “metric interpolation” to bivariate and multivariate interpolation [PDF]
Shepard developed a scheme for interpolation to arbitrarily spaced discrete bivariate data. This scheme provides an explicit global representation for an interpolant which satisfies a maximum principle and which reproduces constant functions. The interpolation method is basically an inverse distance formula which is generalized to any Euclidean metric.
William J. Gordon, James A. Wixom
openaire +1 more source
Computational Simulations of Metal–Organic Frameworks to Enhance Adsorption Applications
This review highlights the significance of molecular simulations in expanding the understanding of metal–organic frameworks (MOFs) and improving their gas adsorption applications. The historical development and implementation of molecular simulations in the MOF field are given, high‐throughput computational screening studies used to unlock the ...
Hilal Daglar +3 more
wiley +1 more source
Supramolecular Chemistry in Metal–Organic Framework Materials
This review highlights synergies between reticular chemistry and supramolecular chemistry. The role of supramolecular interactions in determining framework…guest interactions and attempts to understand dynamic behavior in metal–organic frameworks (MOFs), particularly emphasizing the development of crystal sponges, studying reactions in frameworks and ...
Eugenia Miguel‐Casañ +3 more
wiley +1 more source
Homogeneous numerical cubature formulas of interpolatory type
In this paper we construct homogeneous numerical cubature formulas based on some numerical multivariate interpolation schemes.
Gheorghe Coman, Maria Solomon
doaj +2 more sources
How to compute the constant term of a power of a Laurent polynomial efficiently [PDF]
We present an algorithm for efficient computation of the constant term of a power of a multivariate Laurent polynomial. The algorithm is based on univariate interpolation, does not require the storage of intermediate data and can be easily parallelized ...
Metelitsyn, Pavel
core

