Results 81 to 90 of about 1,667 (298)
Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization
Advanced Science, EarlyView.A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley +1 more source
The law of the iterated logarithm for tail sums [PDF]
Doctor of PhilosophyDepartment of MathematicsCharles N. MooreThe main purpose of this thesis is to derive the law of the iterated logarithm for tail sums in various contexts in analysis.
Ghimire, Santosh
core
A law of the iterated logarithm for small counts in Karlin’s occupancy scheme
Modern Stochastics: Theory and ApplicationsIn the Karlin infinite occupancy scheme, balls are thrown independently into an infinite array of boxes $1,2,\dots $ , with probability ${p_{k}}$ of hitting the box k.
Alexander Iksanov, Valeriya Kotelnikova
doaj +1 more source
Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin +7 more
wiley +1 more source
Law of iterated logarithm for random subsequences [PDF]
Let (Xn, n [greater-or-equal, slanted] 1) be a sequence of i.i.d. positive valued random variables with a common distribution function F and let Sn = [Sigma]nj=1 Xj, n [greater-or-equal, slanted] 1. When F belongs to the domain of partial attraction of a
Vasudeva, R., Divanji, G.
core
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
Advanced Energy Materials, EarlyView.In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
The law of the iterated logarithm for locally univalent functions [PDF]
, 2002 In this paper we prove a sharp version of the Makarov law of the iterated logarithm. In particular, we show that the constant in the right side of this law depends on an asymptotic behaviour of the integral means of the derivative of an analytic function.
Kayumov, I.R., Kayumov I.
core
Asymptotic Behaviors of the Lorenz Curve for Left Truncated and Dependent Data [PDF]
Journal of Sciences, Islamic Republic of Iran, 2012 The purpose of this paper is to provide some asymptotic results for nonparametric estimator of the Lorenz curve and Lorenz process for the case in which data are assumed to be strong mixing subject to random left truncation.
M. Bolbolian Ghalibaf
doaj
Disorder‐Driven Ionic Mobility Edge and Localization‐Driven Dendrite Formation in Solid Electrolytes
Advanced Energy Materials, EarlyView.Migration‐barrier disorder localizes ionic transport into a sparse percolation backbone. Current and electric‐field focusing at filament tips promote fractal dendrite growth and suppress the critical current density according to jcrit = j0 exp(−σEeff/kBT).
Dongwook Lee, Jiwon Seo
wiley +1 more source
Some Probability Inequalities for Quadratic Forms of Negatively Dependent Subgaussian Random Variables [PDF]
Journal of Sciences, Islamic Republic of Iran, 2005 In this paper, we obtain the upper exponential bounds for the tail probabilities of the quadratic forms for negatively dependent subgaussian random variables.
doaj