Francis Ogoke

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Nonlinear Partial Differential Equations

Convolutional Network

Top Venues

Mach. Learn. Sci. Technol.

Publications

Olabode Ajenifujah, Francis Ogoke, Florian Wirth, Jack L. Beuth, Amir Barati Farimani
Integrating Multi-Physics Simulations and Machine Learning to Define the Spatter Mechanism and Process Window in Laser Powder Bed Fusion. CoRR (2024)
Francis Ogoke, Peter Myung-Won Pak, Alexander Myers, Guadalupe Quirarte, Jack L. Beuth, Jonathan Malen, Amir Barati Farimani
Deep Learning for Melt Pool Depth Contour Prediction From Surface Thermal Images via Vision Transformers. CoRR (2024)
Peter Myung-Won Pak, Francis Ogoke, Andrew Polonsky, Anthony Garland, Dan S. Bolintineanu, Dan R. Moser, Michael J. Heiden, Amir Barati Farimani
ThermoPore: Predicting Part Porosity Based on Thermal Images Using Deep Learning. CoRR (2024)
Achuth Chandrasekhar, Jonathan Chan, Francis Ogoke, Olabode Ajenifujah, Amir Barati Farimani
AMGPT: a Large Language Model for Contextual Querying in Additive Manufacturing. CoRR (2024)
Zijie Li, Saurabh Patil, Francis Ogoke, Dule Shu, Wilson Zhen, Michael Schneier, John R. Buchanan Jr., Amir Barati Farimani
Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations. CoRR (2024)
Francis Ogoke, Quanliang Liu, Olabode Ajenifujah, Alexander Myers, Guadalupe Quirarte, Jack L. Beuth, Jonathan Malen, Amir Barati Farimani
Inexpensive High Fidelity Melt Pool Models in Additive Manufacturing Using Generative Deep Diffusion. CoRR (2023)
Francis Ogoke, Kyle Johnson, Michael Glinsky, Chris Laursen, Sharlotte Kramer, Amir Barati Farimani
Deep-Learned Generators of Porosity Distributions Produced During Metal Additive Manufacturing. CoRR (2022)
AmirPouya Hemmasian, Francis Ogoke, Parand Akbari, Jonathan Malen, Jack L. Beuth, Amir Barati Farimani
Surrogate Modeling of Melt Pool Thermal Field using Deep Learning. CoRR (2022)
Parand Akbari, Francis Ogoke, Ning-Yu Kao, Kazem Meidani, Chun-Yu Yeh, William Lee, Amir Barati Farimani
MeltpoolNet: Melt pool Characteristic Prediction in Metal Additive Manufacturing Using Machine Learning. CoRR (2022)
Francis Ogoke, Kazem Meidani, Amirreza Hashemi, Amir Barati Farimani
Graph convolutional networks applied to unstructured flow field data. Mach. Learn. Sci. Technol. 2 (4) (2021)
Francis Ogoke, Amir Barati Farimani
Thermal Control of Laser Powder Bed Fusion Using Deep Reinforcement Learning. CoRR (2021)
Francis Ogoke, Kazem Meidani, Amirreza Hashemi, Amir Barati Farimani
Graph Convolutional Neural Networks for Body Force Prediction. CoRR (2020)