Modeling nanoconfinement effects using active learning. - Javier E. Santos; Mohammed Mehana; Hao Wu; Masa Prodanovic; Michael J. Pyrcz; Qinjun Kang; Nicholas Lubbers; Hari S. Viswanathan (CoRR, 2020)

Multi-Scale Neural Networks for to Fluid Flow in 3D Porous Media. - Javier E. Santos; Ying Yin; Honggeun Jo; Wen Pan; Qinjun Kang; Hari S. Viswanathan; Masa Prodanovic; Michael J. Pyrcz; Nicholas Lubbers (CoRR, 2021)

Predictive Scale-Bridging Simulations through Active Learning. - Satish Karra; Mohammed Mehana; Nicholas Lubbers; Yu Chen; Abdourahmane Diaw; Javier E. Santos; Aleksandra Pachalieva; Robert S. Pavel; Jeffrey R. Haack; Michael M. McKerns; Christoph Junghans; Qinjun Kang; et al. (CoRR, 2022)

MudrockNet: Semantic segmentation of mudrock SEM images through deep learning. - Abhishek Bihani; Hugh Daigle; Javier E. Santos; Christopher Landry; Masa Prodanovic; Kitty Milliken (Comput. Geosci., 2022)

MPLBM-UT: Multiphase LBM library for permeable media analysis. - Javier E. Santos; Alex Gigliotti; Abhishek Bihani; Christopher Landry; Marc Andre Hesse; Michael J. Pyrcz; Masa Prodanovic (SoftwareX, 2022)

GLUE Code: A framework handling communication and interfaces between scales. - Aleksandra Pachalieva; Robert S. Pavel; Javier E. Santos; Abdourahmane Diaw; Nicholas Lubbers; Mohammed Mehana; Jeffrey R. Haack; Hari S. Viswanathan; Daniel Livescu; Timothy C. Germann; Christoph Junghans (J. Open Source Softw., 2022)

Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces. - Javier E. Santos; Zachary R. Fox; Nicholas Lubbers; Yen Ting Lin (ICML, 2023)

Using Ornstein-Uhlenbeck Process to understand Denoising Diffusion Probabilistic Model and its Noise Schedules. - Javier E. Santos; Yen Ting Lin (CoRR, 2023)

Reconstruction of Fields from Sparse Sensing: Differentiable Sensor Placement Enhances Generalization. - Agnese Marcato; Daniel O'Malley; Hari S. Viswanathan; Eric Guiltinan; Javier E. Santos (CoRR, 2023)

Mitigation of spatial nonstationarity with vision transformers. - Lei Liu; Javier E. Santos; Masa Prodanovic; Michael J. Pyrcz (Comput. Geosci., 2023)

Development of the Senseiver for efficient field reconstruction from sparse observations. - Javier E. Santos; Zachary R. Fox; Arvind T. Mohan; Daniel O'Malley; Hari S. Viswanathan; Nicholas Lubbers (Nat. Mac. Intell., 2023)

Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation. - Manish Bhattarai; Javier E. Santos; Shawn Jones; Ayan Biswas; Boian S. Alexandrov; Daniel O'Malley (HPEC, 2024)

Information Extraction from Historical Well Records Using A Large Language Model. - Zhiwei Ma; Javier E. Santos; Greg Lackey; Hari S. Viswanathan; Daniel O'Malley (CoRR, 2024)

Benchmarking Large Language Models with Integer Sequence Generation Tasks. - Daniel O'Malley; Manish Bhattarai; Javier E. Santos (CoRR, 2024)

Machine learned reconstruction of tsunami dynamics from sparse observations. - Edward McDugald; Arvind T. Mohan; Darren Engwirda; Agnese Marcato; Javier E. Santos (CoRR, 2024)

Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation. - Manish Bhattarai; Minh Vu; Javier E. Santos; Ismael Boureima; Daniel O'Malley (CoRR, 2024)

pySimFrac: A Python library for synthetic fracture generation and analysis. - Eric Guiltinan; Javier E. Santos; Prakash Purswani; Jeffrey D. Hyman (Comput. Geosci., 2024)

PatchFinder: Leveraging Visual Language Models for Accurate Information Retrieval Using Model Uncertainty. - Roman Colman; Minh Vu; Manish Bhattarai; Martin Ma; Hari S. Viswanathan; Daniel O'Malley; Javier E. Santos (WACV, 2025)

Deep-learning-based canopy height model generation from sub-meter resolution panchromatic satellite imagery. - Charles J. Abolt; Javier E. Santos; Adam Atchley; Lucas A. Wells; Daithi Martin; Russell Parsons; Rodman R. Linn (Mach. Learn. Sci. Technol., 2025)

ARCS: Agentic Retrieval-Augmented Code Synthesis with Iterative Refinement. - Manish Bhattarai; Miguel Cordova; Javier E. Santos; Dan O'Malley (CoRR, 2025)

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling. - Javier E. Santos; Agnese Marcato; Roman Colman; Nicholas Lubbers; Yen Ting Lin (CoRR, 2025)

A Foundation Model for Material Fracture Prediction. - Agnese Marcato; Aleksandra Pachalieva; Ryley G. Hill; Kai Gao; Xiaoyu Wang; Esteban Rougier; Zhou Lei; Vinamra Agrawal; Janel Chua; Qinjun Kang; Jeffrey D. Hyman; Abigail Hunter; et al. (CoRR, 2025)