A review of current progress in multiscale simulations for fluid flow and heat transfer problems: The frameworks, coupling techniques and future perspectives
Many heat transfer and fluid flow problems are multiscale in nature, and the multiscale
numerical methods are needed to solve the problems by considering the phenomena in all …
numerical methods are needed to solve the problems by considering the phenomena in all …
Mastering the scales: a survey on the benefits of multiscale computing software
In the last few decades, multiscale modelling has emerged as one of the dominant
modelling paradigms in many areas of science and engineering. Its rise to dominance is …
modelling paradigms in many areas of science and engineering. Its rise to dominance is …
An evolving plane stress yield criterion based on crystal plasticity virtual experiments
This paper presents a new hierarchical multi-scale framework that allows taking into account
evolution of the plastic anisotropy during sheet forming processes. The evolution of …
evolution of the plastic anisotropy during sheet forming processes. The evolution of …
Modeling and scale-bridging using machine learning: Nanoconfinement effects in porous media
Fine-scale models that represent first-principles physics are challenging to represent at
larger scales of interest in many application areas. In nanoporous media such as tight-shale …
larger scales of interest in many application areas. In nanoporous media such as tight-shale …
Forging of hierarchical multiscale capabilities for simulation of energetic materials
We present new capabilities for investigation of microstructure in energetic material
response for both explicit large‐scale and multiscale simulations. We demonstrate the …
response for both explicit large‐scale and multiscale simulations. We demonstrate the …
Error correction in multi-fidelity molecular dynamics simulations using functional uncertainty quantification
ST Reeve, A Strachan - Journal of Computational Physics, 2017 - Elsevier
We use functional, Fréchet, derivatives to quantify how thermodynamic outputs of a
molecular dynamics (MD) simulation depend on the potential used to compute atomic …
molecular dynamics (MD) simulation depend on the potential used to compute atomic …
Distributed database kriging for adaptive sampling (D2KAS)
We present an adaptive sampling method supplemented by a distributed database and a
prediction method for multiscale simulations using the Heterogeneous Multiscale Method. A …
prediction method for multiscale simulations using the Heterogeneous Multiscale Method. A …
Toward a predictive hierarchical multiscale modeling approach for energetic materials
This chapter describes efforts to enable multiscale modeling of energetic material response
to insult through a concurrent hierarchical multiscale framework. As a demonstration, a …
to insult through a concurrent hierarchical multiscale framework. As a demonstration, a …
A spectrum-based adaptive sampling algorithm for smart sensing
The ever-increasing diffusion of smart pervasive systems has brought to attention the need
to optimally manage available energy as well as the request for more general intelligent …
to optimally manage available energy as well as the request for more general intelligent …
A case study in computational caching microservices for HPC
J Jenkins, G Shipman, J Mohd-Yusof… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
A case study is presented that provides computation caching (memoization) through a
microservice architecture to high-performance computing (HPC) applications, particularly …
microservice architecture to high-performance computing (HPC) applications, particularly …