Francis Ogoke

Carnegie Mellon University — United States

Engineering · Physical Sciences

10h-index408citations37works4.12yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Additive Manufacturing Materials and Processes(21), Additive Manufacturing and 3D Printing Technologies(16), Manufacturing Process and Optimization(4), Model Reduction and Neural Networks(4), Radiative Heat Transfer Studies(4)

Publications37 total

Deep learning based optical image super-resolution via generative diffusion models for layerwise in-situ LPBF monitoring
Additive manufacturing·2025· 2 citedOpen Access
Latent neural PDE solver: A reduced-order modeling framework for partial differential equations
Journal of Computational Physics·2025· 5 citedOpen Access
Deep learning for melt pool depth contour prediction from surface thermal images via vision transformers
Additive Manufacturing Letters·2024· 9 citedOpen Access
Deep Learning based Optical Image Super-Resolution via Generative Diffusion Models for Layerwise in-situ LPBF Monitoring
arXiv (Cornell University)·2024Open Access
ThermoPore: Predicting part porosity based on thermal images using deep learning
Additive manufacturing·2024· 10 citedOpen Access
AMGPT: A large language model for contextual querying in additive manufacturing
Additive Manufacturing Letters·2024· 20 citedOpen Access
Inexpensive high fidelity melt pool models in additive manufacturing using generative deep diffusion
Materials & Design·2024· 12 citedOpen Access
AMGPT: a Large Language Model for Contextual Querying in Additive Manufacturing
arXiv (Cornell University)·2024Open Access
Integrating Multi-Physics Simulations and Machine Learning to Define the Spatter Mechanism and Process Window in Laser Powder Bed Fusion
arXiv (Cornell University)·2024Open Access
Deep Learning for Melt Pool Depth Contour Prediction From Surface Thermal Images via Vision Transformers
arXiv (Cornell University)·2024· 1 citedOpen Access
ThermoPore: Predicting Part Porosity Based on Thermal Images Using Deep Learning
arXiv (Cornell University)·2024Open Access
Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations
arXiv (Cornell University)·2024· 1 citedOpen Access
Thermopore: Predicting Part Porosity Based on Thermal Images Using Deep Learning
SSRN Electronic Journal·2024· 2 citedOpen Access
Amgpt: A Large Language Model for Contextual Querying in Additive Manufacturing
SSRN Electronic Journal·2024· 4 citedOpen Access
Inexpensive High Fidelity Melt Pool Models in Additive Manufacturing Using Generative Deep Diffusion
SSRN Electronic Journal·2024· 2 citedOpen Access
Integrating Multi-Physics Simulations and Machine Learning to Define the Spatter Mechanism and Process Window in Laser Powder Bed Fusion
SSRN Electronic Journal·2024· 1 citedOpen Access
Deep Learning Based Optical Image Super-Resolution Via Generative Diffusion Models for Layerwise In-Situ Lpbf Monitoring
SSRN Electronic Journal·2024· 1 citedOpen Access
Deep Learning for Melt Pool Depth Contour Prediction from Surface Thermal Images Via Vision Transformers
SSRN Electronic Journal·2024· 3 citedOpen Access
Inexpensive High Fidelity Melt Pool Models in Additive Manufacturing Using Generative Deep Diffusion
arXiv (Cornell University)·2023· 1 citedOpen Access
Convolutional neural networks for melt depth prediction and visualization in laser powder bed fusion
The International Journal of Advanced Manufacturing Technology·2023· 14 citedOpen Access
page 1 of 2Next →

Frequent Co-authors

Amir Barati Farimani(35), Jack Beuth(14), Jonathan A. Malen(12), Guadalupe Quirarte(8), Olabode Ajenifujah(8), Anthony Garland(6), Dan Bolintineanu(6), Michael Heiden(6), Parand Akbari(5), Kazem Meidani(5), Alexander Myers(5), Péter Pák(5), Alexander J. Myers(4), Michael E. Glinsky(4), Ning-Yu Kao(3), William Lee(3), Amirreza Hashemi(3), Achuth Chandrasekhar(3), Christopher Laursen(3), Sharlotte Kramer(3)