Results 61 to 70 of about 9,585 (266)

A Machine Learning Perspective on the Brønsted–Evans–Polanyi Relation in Water‐Gas Shift Catalysis on MXenes

Advanced Intelligent Discovery, EarlyView.
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar, Tiago L. P. Galvão, José D. Gouveia, José R. B. Gomes   +3 more
wiley   +1 more source

Assessing the sensitivity of energy-energy correlations in e + e − annihilation to TMD dynamics

Journal of High Energy Physics
We critically examine the back-to-back limit of the energy-energy correlation (EEC) in e + e − annihilation as a potential source of information on the Collins-Soper kernel and the strong coupling constant.
Alejandro Bris Cuerpo, Ignazio Scimemi, Alexey Vladimirov   +2 more
doaj   +1 more source

Logarithmic terms in discrete heat kernel expansions in the quadrant

Annales de l’Institut Henri Poincaré D, Combinatorics, Physics and their Interactions
In the context of lattice walk enumeration in cones, we consider the number of walks in the quarter plane with fixed starting and ending points, prescribed step-set, and given length. After renormalisation, this number may be interpreted as a discrete heat kernel in the quadrant.
Elvey Price, Andrew, Nessmann, Andreas, Raschel, Kilian   +2 more
openaire   +3 more sources

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

Quasilinearization-Collocation Method for the Numerical Solution of Nonlinear Fractional Volterra Integro-Differential Equations With Logarithmic Weakly Singular Kernel

International Journal of Mathematics and Mathematical Sciences
In this paper, we use quasilinearization technique, product integration rule, and collocation method to present a new numerical method to solve nonlinear fractional Volterra integro-differential equations with logarithmic weakly singular kernel.
Qays Atshan Almusawi, Esmaeil Najafi
doaj   +1 more source

Product quasi-interpolation in logarithmically singular integral equations

Mathematical Modelling and Analysis, 2012
A discrete high order method is constructed and justified for a class of Fredholm integral equations of the second kind with kernels that may have boundary and logarithmic diagonal singularities.
Eero Vainikko, Gennadi Vainikko
doaj   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

On a singular integral equation with log kernel and its application

International Journal of Mathematics and Mathematical Sciences, 2006
We used function theoretic method to solve a singular integral equation with logarithmic kernel in two disjoint finite intervals where the unknown function satisfying the integral equation may be bounded or unbounded at the nonzero finite endpoints of ...
Sudeshna Banerjea, Chiranjib Sarkar
doaj   +1 more source

Short time behavior of the heat kernel and its logarithmic derivatives

Journal of Differential Geometry, 1996
Let \(p_t(x,y)\) be the fundamental solution to the Cauchy problem for the heat equation of a compact connected Riemannian manifold \(M\). The authors study the asymptotic behavior of the derivatives of \(\log p_t(\cdot,y)\) as \(x\) at \(t\searrow 0\) for \(x\) outside and inside the cut locus of \(y\).
Malliavin, Paul, Stroock, Daniel W.
openaire   +3 more sources

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

Advanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary, Nicholas Ballard   +1 more
wiley   +1 more source