Publications

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Predicting Mechanical Performance in Additive Manufacturing Components Using Deep Learning

US National Congress on Computational Mechanics

Kyle Johnson, Demitri Maestas, Philip Noell, Hojun Lim, John M Emery, Matthew Collins Smith, Carianne Martinez, Warren Leon Davis

Conference Presentation – 2021 Conference Presentation 2021

FAMU-Sandia Seminar Series

Rahni Shakhelle Kellum, Warren Leon Davis

Marketing or Promotional – 2021 Marketing or Promotional 2021

Machine Learning Models to Predict VISAR Profiles in Complex Materials Using Microstructure Characteristics as Inputs

15th International Conference on Modern Materials and Technologies (CIMTEC 2021)

Corbett C. Battaile, Warren Leon Davis

Abstract – 2020 Abstract 2020

Predicting Future Disease Burden in a Rapidly Changing Climate

Amy Jo Powell, Irina Kalashnikova Tezaur, Warren Leon Davis, Kara J. Peterson, Susan Rempe, Chuck Randall Smallwood, Erika Louise Roesler

https://www.osti.gov/search/identifier:1670999

SAND Report – 2020 SAND Report 2020

Arctic Tipping Points Triggering Global Change LDRD Final Report

Kara J. Peterson, Amy Jo Powell, Irina Kalashnikova Tezaur, Erika Louise Roesler, Jeffrey Nichol, Matthew Gregor Peterson, Warren Leon Davis, John Davis Jakeman, David John Stracuzzi, Diana L Bull

https://www.osti.gov/search/identifier:1669210

SAND Report – 2020 SAND Report 2020

Using Ultra-Low Resolution E3SM Simulations to Predict Sea Ice ? Free Summers, and to Elucidate the Role of Arctic Sea Ice in Polar Amplification

European Seminar on Computing

Amy Jo Powell, Erika Louise Roesler, Warren Leon Davis, Irina Kalashnikova Tezaur, Kara J. Peterson

https://www.osti.gov/search/identifier:1807356

Conference Paper – 2020 Conference Paper 2020

Machine Learning to Compare Arctic Simulations with Observed Data

European Seminar on Computing 2020

Jeffrey Nichol, Matthew Gregor Peterson, Warren Leon Davis, Kara J. Peterson, David John Stracuzzi

Abstract – 2020 Abstract 2020

Using Unsupervised Anomaly Detection for Data Reduction in Temporal and Spatial Data

BioXFEL 2020

Gabriel ANUOLUWAPO Popoola, Warren Leon Davis, Timothy Malcolm Shead, Corey Graves

https://www.osti.gov/search/identifier:1763159

Conference Paper – 2020 Conference Paper 2020

A Framework for In-Situ Anomaly Detection in HPC Environments

Supercomputing 2019

Timothy Malcolm Shead, Hemanth Kolla, Aditya Konduri, Gabriel Papoola, Warren Leon Davis, Daniel Dunlavy, Kevin Reed

https://www.osti.gov/search/identifier:1642180

Conference Paper – 2019 Conference Paper 2019

In-Situ Machine Learning for Intelligent Data Capture on Exascale Platforms

2019 Cis Erb

Warren Leon Davis, Timothy Malcolm Shead, Hemanth Kolla, William Philip Kegelmeyer, Gabriel ANUOLUWAPO Popoola, Kevin Reed

https://www.osti.gov/search/identifier:1645860

Presentation (non-conference) – 2019 Presentation (non-conference) 2019

The Potential of In-Situ Machine Learning Algorithms for Tropical Cyclone Detection in Advanced Climate Modeling

American Geophysical Union Fall Meeting 2019

Warren Leon Davis, Kevin Reed, Timothy Malcolm Shead, Hemanth Kolla, Gabriel ANUOLUWAPO Popoola, William Philip Kegelmeyer, Aditya Konduri, Julia Ling

Abstract – 2019 Abstract 2019

Near-Wall Turbulence Modeling using Neural Networks

Sandia Machine Learning and Deep Learning Workshop

Matthew F. Barone, Nathan Miller, Warren Leon Davis, Jeffrey A. Fike

https://www.osti.gov/search/identifier:1641518

Conference Paper – 2019 Conference Paper 2019

Exploring the Use of Ultra-Low Resolution E3SM Simulations to Predict Sea Ice ? Free Summers, and to Elucidate the Role of Arctic Sea Ice in Polar Amplification

American Geophysical Union Fall Meeting

Amy Jo Powell, Erika Louise Roesler, Warren Leon Davis, Kara J. Peterson

Abstract – 2019 Abstract 2019

A Framework for In-Situ Anomaly Detection in HPC Environments

Ldav 2019

Timothy Malcolm Shead, Daniel Dunlavy, Hemanth Kolla, Aditya Konduri, Gabriel ANUOLUWAPO Popoola, Warren Leon Davis, William Philip Kegelmeyer, Kevin Reed, Julia Ling

https://www.osti.gov/search/identifier:1640853

Conference Paper – 2019 Conference Paper 2019

Machine-Learned Models for Near-Wall Turbulence

DOE ASC V&V Lead Visit to Sandia

Matthew F. Barone, Nathan Miller, Warren Leon Davis, Jeffrey A. Fike

https://www.osti.gov/search/identifier:1645355

Presentation (non-conference) – 2019 Presentation (non-conference) 2019

Near-Wall Modeling using Coordinate Frame Invariant Representations and Neural Networks

AIAA Aviation Forum

Nathan Miller, Matthew F. Barone, Warren Leon Davis, Jeffrey A. Fike

https://www.osti.gov/search/identifier:1640064

Conference Paper – 2019 Conference Paper 2019

Microstructural Simulation of Thermal Spray Coatings: Comparison with 3D

TMS 2019 Annual Meeting & Exhibition

Theron Rodgers, Aaron Jeffrey Olson, Warren Leon Davis, Andrew Vackel, Andrew Chuang, Reeju Pokharel, Don Brown, Bjrn Clausen, Timothy Ickes, Nathan W. Moore

https://www.osti.gov/search/identifier:1639466

Conference Paper – 2019 Conference Paper 2019

Coordinate-Invariant Near-Wall Turbulence Modeling via Neural Networks

Machine Learning for Computational Fluid and Solid Dynamics

Nathan Miller, Matthew F. Barone, Warren Leon Davis, Jeffrey A. Fike

https://www.osti.gov/search/identifier:1601537

Conference Paper – 2019 Conference Paper 2019

Coordinate-Invariant Near-Wall Turbulence Modeling via Neural Networks

Machine Learning for Computational Fluid and Solid Dynamics

Nathan Miller, Matthew F. Barone, Warren Leon Davis, Jeffrey A. Fike

Abstract – 2019 Abstract 2019

Wall Shear Stress Prediction using Coordinate Frame Invariant Representations and Neural Networks

AIAA Aviation and Aeronautics Forum and Exposition

Nathan Miller, Matthew F. Barone, Warren Leon Davis, Jeffrey A. Fike

Abstract – 2018 Abstract 2018

Detection of extreme events in turbulent flows

Perspectives on Turbulence

Aditya Konduri, Hemanth Kolla, Warren Leon Davis

Abstract – 2018 Abstract 2018

In-Situ Machine Learning for Intelligent Data Capture on Exascale Platforms

DOE ASCR Annual PI Meeting

Warren Leon Davis, Kevin A. Reed

https://www.osti.gov/search/identifier:1582210

Presentation (non-conference) – 2018 Presentation (non-conference) 2018

Embedding Python for In-Situ Analysis

Daniel Dunlavy, Timothy Malcolm Shead, Daniel Dunlavy, Aditya Konduri, Hemanth Kolla, Daniel Dunlavy, William Philip Kegelmeyer, Warren Leon Davis

https://www.osti.gov/search/identifier:1734473

SAND Report – 2018 SAND Report 2018

Anomaly detection in scientific data using joint statistical

ArXiv

Aditya Konduri, Hemanth Kolla, William Philip Kegelmeyer, Timothy Malcolm Shead, Julia Ling, Warren Leon Davis

https://www.osti.gov/search/identifier:1502456

Journal Article – 2018 Journal Article 2018

Microstructural Simulation of Thermal Spray Coatings: Comparison with 3D Characterization

TMS Annual Meeting & Exhibition

Theron Rodgers, Aaron Jeffrey Olson, Warren Leon Davis, Andrew Vackel, Reeju Pokharel, Don Brown, Bjrn Clausen, Timothy Ickes, Andrew Chuang, Nathan W. Moore

Abstract – 2018 Abstract 2018
Document Title Type Year
Results 1–25 of 61