Alejandro Strachan

According to our database, Alejandro Strachan authored at least 16 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A collaborative digital twin built on FAIR data and compute infrastructure.

Thomas M. Deucher, Juan C. Verduzco, Michael Titus, Alejandro Strachan

CoRR, July, 2025

Bridging the synthesizability gap in perovskites by combining computations, literature data, and PU learning.

Rushik Desai, Junyeong Ahn, Alejandro Strachan, Arun Mannodi-Kanakkithodi

Mach. Learn. Sci. Technol., 2025

Data Fusion of Deep Learned Molecular Embeddings for Property Prediction.

Robert J. Appleton, Brian C. Barnes, Alejandro Strachan

J. Chem. Inf. Model., 2025

2024

Multi-Task Multi-Fidelity Learning of Properties for Energetic Materials.

Robert J. Appleton, Daniel Klinger, Brian H. Lee, Michael Taylor, Sohee Kim, Samuel Blankenship, Brian C. Barnes, Steven F. Son, Alejandro Strachan

CoRR, 2024

2023

Hubzero: Community Growth for Four Science Gateways Supporting Open Science.

Sandra Gesing, Claire Stirm, Gerhard Klimeck, Lynn K. Zentner, Su Wang, Braulio Misael Villegas-Martínez, Hector M. Moya-Cessa, Carrie Diaz Eaton, Samuel S. Donovan, Carol X. Song, Lan Zhao, I Luk Kim, Alejandro Strachan, Michael G. Zentner, Rajesh Kalyanam

Comput. Sci. Eng., 2023

Lennard Jones Token: a blockchain solution to scientific data curation.

Brian H. Lee, Alejandro Strachan

CoRR, 2023

GPT-4 as an interface between researchers and computational software: improving usability and reproducibility.

Juan C. Verduzco, Ethan Holbrook, Alejandro Strachan

CoRR, 2023

2022

Open Science via HUBzero: Exploring Five Science Gateways Supporting and Growing their Open Science Communities.

Sandra Gesing, Claire Stirm, Gerhard Klimeck, Lynn K. Zentner, Su Wang, Braulio Misael Villegas-Martínez, Carrie Diaz Eaton, Samuel S. Donovan, Lan Zhao, Carol X. Song, I Luk Kim, Alejandro Strachan, Michael G. Zentner, Rajesh Kalyanam

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

2021

Sim2Ls: FAIR simulation workflows and data.

Martin Hunt, Steven Clark, Daniel Mejia, Saaketh Desai, Alejandro Strachan

CoRR, 2021

2020

Parsimonious neural networks learn classical mechanics and can teach it.

Saaketh Desai, Alejandro Strachan

CoRR, 2020

2017

Error correction in multi-fidelity molecular dynamics simulations using functional uncertainty quantification.

Samuel Temple Reeve, Alejandro Strachan

J. Comput. Phys., 2017

2016

Separation of aleatory and epistemic uncertainty in probabilistic model validation.

Joshua Mullins, You Ling, Sankaran Mahadevan, Lin Sun, Alejandro Strachan

Reliab. Eng. Syst. Saf., 2016

2015

PUQ: A code for non-intrusive uncertainty propagation in computer simulations.

Martin Hunt, Benjamin Haley, Michael McLennan, Marisol Koslowski, Jayathi Murthy, Alejandro Strachan

Comput. Phys. Commun., 2015

2011

Uncertainty propagation in a multiscale model of nanocrystalline plasticity.

Marisol Koslowski, Alejandro Strachan

Reliab. Eng. Syst. Saf., 2011

2010

Cyber-Enabled Simulations in Nanoscale Science and Engineering.

Alejandro Strachan, Gerhard Klimeck, Mark S. Lundstrom

Comput. Sci. Eng., 2010

Molecular Dynamics Simulations of Strain Engineering and Thermal Transport in Nanostructured Materials.

Yumi Park, Ya Zhou, Janam Jhaveri, Alejandro Strachan

Comput. Sci. Eng., 2010