Results 121 to 130 of about 6,349,849 (305)
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
Advanced Science, EarlyView.This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
On the Strong Approximation of Pure Jump Processes [PDF]
This paper constructs strong discrete time approximations for pure jump processes that can be described by stochastic differential equations. Strong approximations based on jump-adapted time discretizations, which produce no discretization bias, are ...
Nicola Bruti-Liberati, Eckhard Platen
core
A Pincherle-Type Convergence Theorem for Generalized Continued Fractions in Banach Algebras
Journal of Applied MathematicsThis contribution is dedicated to the interdependence of higher order linear difference equations and generalized continued fractions in Banach algebras.
Hendrik Baumann, Thomas Hanschke
doaj +1 more source
Generalized Quantum Stochastic Processes on Fock Space
Publications of the Research Institute for Mathematical Sciences, 1995 The author deals with a new aspect of quantum stochastic processes on the basis of white noise calculus, established as a distribution type theory on a Gaussian space in connection with operator theory on Fock space. Integrals against time, quantum stochastic integrals and Riemannian approximations are put into evidence and adapted processes are ...
openaire +3 more sources
Advanced Science, EarlyView.The pre‐regenerative vascular niche (PVN) is essential for nerve repair, yet its endothelial blueprint remains unclear. We identified angiogenic ECs (AECs) as the dominant pre‐regenerative subset and found that antler blood–derived exosomes (AB‐EXO) promote repair via IMP3.
Jinsheng Huang +11 more
wiley +1 more source
Some Generalizations of Dynamic Stochastic Approximation Processes
The Annals of Statistics, 1974 Some generalizations of Dupac's dynamic stochastic approximation have been worked out to the more general cases of time variation. Sufficient conditions for convergence in the mean square and with probability one are given in case of deterministic trend and convergence with a bound is proved for the random trend case, using the estimation scheme $x_{n ...
openaire +2 more sources
Diverse Landscape of Tunable Magnetic, Topological, and Ferroelectric States in 2D Ti3Se3Te2
Advanced Science, EarlyView.Ti3Se3Te2 emerges as a multifunctional 2D van der Waals platform. The monolayer is a dynamically stable ferromagnetic quantum anomalous Hall insulator. In bilayers, two stacking configurations yield distinct phases: AA‐stacking hosts an altermagnetic quantum spin Hall insulator, while AA′‐stacking exhibits three‐state in‐plane ferroelectricity ...
Jiangtao Yu +5 more
wiley +1 more source
Stochastic Volatility Model with Leverage and Asymmetrically Heavy-tailed Error Using GH Skew Student's t-distribution [PDF]
Bayesian analysis of a stochastic volatility model with a generalized hyperbolic (GH) skew Student's t-error distribution is described where we first consider an asymmetric heavy-tailness as well as leverage effects. An efficient Markov chain Monte Carlo
Jouchi Nakajima, Yasuhiro Omori
core +2 more sources
Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks
Advanced Science, EarlyView.A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu +5 more
wiley +1 more source