A review of current progress in multiscale simulations for fluid flow and heat transfer problems: The frameworks, coupling techniques and future perspectives

ZX Tong, YL He, WQ Tao - International Journal of Heat and Mass Transfer, 2019 - Elsevier
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 …

Mastering the scales: a survey on the benefits of multiscale computing software

D Groen, J Knap, P Neumann… - … of the Royal …, 2019 - royalsocietypublishing.org
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 …

An evolving plane stress yield criterion based on crystal plasticity virtual experiments

J Gawad, D Banabic, A Van Bael, DS Comsa… - International Journal of …, 2015 - Elsevier
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 …

Modeling and scale-bridging using machine learning: Nanoconfinement effects in porous media

N Lubbers, A Agarwal, Y Chen, S Son, M Mehana… - Scientific reports, 2020 - nature.com
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 …

Forging of hierarchical multiscale capabilities for simulation of energetic materials

BC Barnes, KW Leiter, JP Larentzos… - Propellants …, 2020 - Wiley Online Library
We present new capabilities for investigation of microstructure in energetic material
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 …

Distributed database kriging for adaptive sampling (D2KAS)

D Roehm, RS Pavel, K Barros, B Rouet-Leduc… - Computer Physics …, 2015 - Elsevier
We present an adaptive sampling method supplemented by a distributed database and a
prediction method for multiscale simulations using the Heterogeneous Multiscale Method. A …

Toward a predictive hierarchical multiscale modeling approach for energetic materials

BC Barnes, JK Brennan, EFC Byrd, S Izvekov… - … for Chemistry Under …, 2019 - Springer
This chapter describes efforts to enable multiscale modeling of energetic material response
to insult through a concurrent hierarchical multiscale framework. As a demonstration, a …

A spectrum-based adaptive sampling algorithm for smart sensing

I Scarabottolo, C Alippi, M Roveri - 2017 IEEE SmartWorld …, 2017 - ieeexplore.ieee.org
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 …

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 …