Steve de Bruyn Kops

Steve de Bruyn Kops

University of Massachusetts Amherst

H-index: 21

North America-United States

About Steve de Bruyn Kops

Steve de Bruyn Kops, With an exceptional h-index of 21 and a recent h-index of 14 (since 2020), a distinguished researcher at University of Massachusetts Amherst, specializes in the field of Fluid Dynamics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models

Prandtl number effects on extreme mixing events in forced stratified turbulence

The effect of Prandtl number on decaying stratified turbulence

Mixing across stable density interfaces in forced stratified turbulence

A machine learning approach for second moment closure modeling of stably stratified turbulence

A data-driven method for modelling dissipation rates in stratified turbulence

Effect of viscous-convective subrange on passive scalar statistics at high Reynolds number

Direct numerical simulation of decaying stratified turbulence with extreme scale separation

Steve de Bruyn Kops Information

University

Position

___

Citations(all)

1357

Citations(since 2020)

582

Cited By

1044

hIndex(all)

21

hIndex(since 2020)

14

i10Index(all)

26

i10Index(since 2020)

17

Email

University Profile Page

University of Massachusetts Amherst

Google Scholar

View Google Scholar Profile

Steve de Bruyn Kops Skills & Research Interests

Fluid Dynamics

Top articles of Steve de Bruyn Kops

Title

Journal

Author(s)

Publication Date

Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models

arXiv e-prints

Muralikrishnan Gopalakrishnan Meena

Demetri Liousas

Andrew D Simin

Aditya Kashi

Wesley H Brewer

...

2024/4

Prandtl number effects on extreme mixing events in forced stratified turbulence

Journal of Fluid Mechanics

Nicolaos Petropoulos

Miles MP Couchman

Ali Mashayek

Stephen M de Bruyn Kops

P Caulfield Colm-cille

2024/3

The effect of Prandtl number on decaying stratified turbulence

Journal of Turbulence

James J Riley

Miles MP Couchman

Stephen M de Bruyn Kops

2023/7/3

Mixing across stable density interfaces in forced stratified turbulence

Journal of Fluid Mechanics

Miles MP Couchman

Stephen M de Bruyn Kops

P Caulfield Colm-cille

2023/4

A machine learning approach for second moment closure modeling of stably stratified turbulence

APS March Meeting Abstracts

Muralikrishnan Gopalakrishnan Meena

Andrew Simin

James Riley

Stephen de Bruyn Kops

2023

A data-driven method for modelling dissipation rates in stratified turbulence

Journal of Fluid Mechanics

Samuel F Lewin

Stephen M de Bruyn Kops

Colm-cille P Caulfield

Gavin D Portwood

2023/12

Effect of viscous-convective subrange on passive scalar statistics at high Reynolds number

Physical Review Fluids

Kedar Prashant Shete

David J Boucher

James J Riley

Stephen M de Bruyn Kops

2022/2/22

Direct numerical simulation of decaying stratified turbulence with extreme scale separation

APS March Meeting Abstracts

Gavin Portwood

Stephen de Bruyn Kops

2022

Analysis of scale-dependent kinetic and potential energy in sheared, stably stratified turbulence

Journal of Fluid Mechanics

Xiaolong Zhang

Rohit Dhariwal

Gavin Portwood

Stephen M de Bruyn Kops

Andrew D Bragg

2022/7/29

Implications of inertial subrange scaling for stably stratified mixing

Journal of Fluid Mechanics

Gavin Dunn Portwood

SM de Bruyn Kops

CP Caulfield

2022/5

A data-driven model for the prediction of local dissipation rates in stratified turbulent flows

APS Division of Fluid Dynamics Meeting Abstracts

Sam Lewin

Colm-Cille Caulfield

Steve de Bruyn Kops

Gavin Portwood

2021

Spatial distributions of scalar mixing in stratified turbulence

APS Division of Fluid Dynamics Meeting Abstracts

Miles Couchman

Steve de Bruyn Kops

Colm-Cille Caulfield

Rich Kerswell

2021

Probabilistic neural networks for predicting energy dissipation rates in geophysical turbulent flows

arXiv preprint arXiv:2112.01113

Sam F Lewin

Stephen M Kops

Gavin D Portwood

Colm-cille P Caulfield

2021/12/2

A first principles framework to predict the transient performance of latent heat thermal energy storage

Journal of Energy Storage

Kedar Prashant Shete

Stephen M de Bruyn Kops

Dragoljub Beka Kosanovic

2021/4/1

The effect of the presence of inertial-convective and viscous-convective subranges on the statistics of a passive scalar in Homogeneous Isotropic Turbulence in air and water

APS Division of Fluid Dynamics Meeting Abstracts

Kedar Prashant Shete

David Boucher

James Riley

Steve de Bruyn Kops

2021

A Physics-based Scaling of the Charging Rate in Latent Heat Thermal Energy Storage Devices

arXiv preprint arXiv:2009.10712

Kedar Prashant Shete

SM Kops

2020/9/22

Area of scalar isosurfaces in homogeneous isotropic turbulence as a function of Reynolds and Schmidt numbers

Journal of Fluid Mechanics

Kedar Prashant Shete

Stephen M de Bruyn Kops

2020

See List of Professors in Steve de Bruyn Kops University(University of Massachusetts Amherst)