Graph Convolutional Neural Networks for Body Force Prediction. - Francis Ogoke; Kazem Meidani; Amirreza Hashemi; Amir Barati Farimani (CoRR, 2020)

Thermal Control of Laser Powder Bed Fusion Using Deep Reinforcement Learning. - Francis Ogoke; Amir Barati Farimani (CoRR, 2021)

Graph convolutional networks applied to unstructured flow field data. - Francis Ogoke; Kazem Meidani; Amirreza Hashemi; Amir Barati Farimani (Mach. Learn. Sci. Technol., 2021)

MeltpoolNet: Melt pool Characteristic Prediction in Metal Additive Manufacturing Using Machine Learning. - Parand Akbari; Francis Ogoke; Ning-Yu Kao; Kazem Meidani; Chun-Yu Yeh; William Lee; Amir Barati Farimani (CoRR, 2022)

Deep-Learned Generators of Porosity Distributions Produced During Metal Additive Manufacturing. - Francis Ogoke; Kyle Johnson; Michael Glinsky; Chris Laursen; Sharlotte Kramer; Amir Barati Farimani (CoRR, 2022)

Surrogate Modeling of Melt Pool Thermal Field using Deep Learning. - AmirPouya Hemmasian; Francis Ogoke; Parand Akbari; Jonathan Malen; Jack L. Beuth; Amir Barati Farimani (CoRR, 2022)

Inexpensive High Fidelity Melt Pool Models in Additive Manufacturing Using Generative Deep Diffusion. - Francis Ogoke; Quanliang Liu; Olabode Ajenifujah; Alexander Myers; Guadalupe Quirarte; Jack L. Beuth; Jonathan Malen; Amir Barati Farimani (CoRR, 2023)

Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations. - Zijie Li; Saurabh Patil; Francis Ogoke; Dule Shu; Wilson Zhen; Michael Schneier; John R. Buchanan Jr.; Amir Barati Farimani (CoRR, 2024)

ThermoPore: Predicting Part Porosity Based on Thermal Images Using Deep Learning. - Peter Myung-Won Pak; Francis Ogoke; Andrew Polonsky; Anthony Garland; Dan S. Bolintineanu; Dan R. Moser; Michael J. Heiden; Amir Barati Farimani (CoRR, 2024)

Deep Learning for Melt Pool Depth Contour Prediction From Surface Thermal Images via Vision Transformers. - Francis Ogoke; Peter Myung-Won Pak; Alexander Myers; Guadalupe Quirarte; Jack L. Beuth; Jonathan Malen; Amir Barati Farimani (CoRR, 2024)

Integrating Multi-Physics Simulations and Machine Learning to Define the Spatter Mechanism and Process Window in Laser Powder Bed Fusion. - Olabode Ajenifujah; Francis Ogoke; Florian Wirth; Jack L. Beuth; Amir Barati Farimani (CoRR, 2024)

AMGPT: a Large Language Model for Contextual Querying in Additive Manufacturing. - Achuth Chandrasekhar; Jonathan Chan 003; Francis Ogoke; Olabode Ajenifujah; Amir Barati Farimani (CoRR, 2024)

Deep Learning based Optical Image Super-Resolution via Generative Diffusion Models for Layerwise in-situ LPBF Monitoring. - Francis Ogoke; Sumesh Kalambettu Suresh; Jesse Adamczyk; Dan S. Bolintineanu; Anthony Garland; Michael J. Heiden; Amir Barati Farimani (CoRR, 2024)

Latent neural PDE solver: A reduced-order modeling framework for partial differential equations. - Zijie Li; Saurabh Patil; Francis Ogoke; Dule Shu; Wilson Zhen; Michael Schneier; John R. Buchanan Jr.; Amir Barati Farimani (J. Comput. Phys., 2025)