Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Ahmad, Rasool"'
This study presents a Graph Neural Networks (GNNs)-based approach for predicting the effective elastic moduli of rocks from their digital CT-scan images. We use the Mapper algorithm to transform 3D digital rock images into graph datasets, encapsulati
Externí odkaz:
http://arxiv.org/abs/2310.19274
Autor:
Ahmad, Rasool, Cai, Wei
Discrete dislocation dynamics (DDD) simulations offer valuable insights into the plastic deformation and work-hardening behavior of metals by explicitly modeling the evolution of dislocation lines under stress. However, the computational cost associa
Externí odkaz:
http://arxiv.org/abs/2308.09817
Determining effective elastic properties of rocks from their pore-scale digital images is a key goal of digital rock physics (DRP). Direct numerical simulation (DNS) of elastic behavior, however, incurs high computational cost; and surrogate machine
Externí odkaz:
http://arxiv.org/abs/2305.06519
Publikováno v:
Journal of the Mechanics and Physics of Solids, 2023
This work focuses on computing the homogenized elastic properties of rocks from 3D micro-computed-tomography (micro-CT) scanned images. The accurate computation of homogenized properties of rocks, archetypal random media, requires both resolution of
Externí odkaz:
http://arxiv.org/abs/2208.02320
Publikováno v:
Journal of Integrative Nursing, Vol 6, Iss 1, Pp 49-54 (2024)
Objective: The study was conducted with the aim of determining the spiritual well-being (SWB) of nursing students and its association with quality of life (QOL). Materials and Methods: A cross-sectional analytical study was conducted with a sample si
Externí odkaz:
https://doaj.org/article/cd870cf557d54730bcb5c33b11ff4ec6
Autor:
Ahmad, Rasool, Cai, Wei
Publikováno v:
Model. Simul. Mater. Sci. Eng., 30:065007, 2022
Taking advantage of the advances in generative deep learning, particularly normalizing flow, a framework, called Boltzmann Generator, has recently been proposed for the purpose of generating equilibrium atomic configurations from the canonical ensemb
Externí odkaz:
http://arxiv.org/abs/2111.01292
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 March 2024 421
Publikováno v:
In Journal of the Mechanics and Physics of Solids May 2023 174
Publikováno v:
In Acta Materialia 15 January 2020 183:228-241
Publikováno v:
In Acta Materialia 15 June 2019 172:161-184