Results 151 to 160 of about 543,386 (314)
Flexible Memory: Progress, Challenges, and Opportunities
Advanced Intelligent Discovery, EarlyView.Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan +5 more
wiley +1 more source
A Central Limit Theorem for the Effective Conductance: Linear Boundary Data and Small Ellipticity Contrasts [PDF]
, 2014 M. Biskup, M. Salvi, T. Wolff
openalex +1 more source
Advanced Intelligent Discovery, EarlyView.This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
Almost sure central limit theorem for self-normalized products of the some partial sums of ρ - -mixing sequences. [PDF]
J Inequal Appl, 2018 Tan X, Liu W.
europepmc +1 more source
Central limit theorem for Banach space valued fuzzy random variables [PDF]
, 2001 Frank Proske, Madan L. Puri
openalex +1 more source
Central Limit Theorem for Linear Eigenvalue Statistics of
, 2021 Giorgio Cipolloni +2 more
openalex +1 more source
Advanced Intelligent Discovery, EarlyView.In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun +8 more
wiley +1 more source
Almost Sure Central Limit Theorems for Parabolic/Hyperbolic Anderson Models with Gaussian Colored Noises [PDF]
Panqiu Xia, Guangqu Zheng
openalex +1 more source
On Shige Peng’s central limit theorem [PDF]
Stochastic Processes and their Applications, 2018 N. Krylov
semanticscholar +1 more source
Advanced Intelligent Discovery, EarlyView.This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan +3 more
wiley +1 more source