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Keerti Kappagantula
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2020 – today
- 2023
- [i7]Scott Howland, Lara Kassab, Keerti Kappagantula, Henry Kvinge, Tegan Emerson:
Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Towards ML-assisted Advanced Manufacturing. CoRR abs/2302.08495 (2023) - [i6]James Koch, WoongJo Choi, Ethan King, David Garcia, Hrishikesh Das, Tianhao Wang, Ken Ross, Keerti Kappagantula:
Neural Lumped Parameter Differential Equations with Application in Friction-Stir Processing. CoRR abs/2304.09047 (2023) - [i5]Shoieb Ahmed Chowdhury, M. F. N. Taufique, Jing Wang, Marissa Masden, Madison Wenzlick, Ram Devanathan, Alan L. Schemer-Kohrn, Keerti Sahithi Kappagantula:
Automated Grain Boundary (GB) Segmentation and Microstructural Analysis in 347H Stainless Steel Using Deep Learning and Multimodal Microscopy. CoRR abs/2305.07790 (2023) - 2022
- [c2]Elizabeth Coda, Nico Courts, Colby Wight, Loc Truong, WoongJo Choi, Charles Godfrey, Tegan Emerson, Keerti Kappagantula, Henry Kvinge:
Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps. TAG-ML 2022: 79-85 - [c1]Lara Kassab, Scott Howland, Henry Kvinge, Keerti Sahithi Kappagantula, Tegan Emerson:
TopTemp: Parsing Precipitate Structure from Temper Topology. TAG-ML 2022: 199-205 - [i4]Elizabeth Coda, Nico Courts, Colby Wight, Loc Truong, WoongJo Choi, Charles Godfrey, Tegan Emerson, Keerti Kappagantula, Henry Kvinge:
Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps. CoRR abs/2203.08189 (2022) - [i3]Lara Kassab, Scott Howland, Henry Kvinge, Keerti Sahithi Kappagantula, Tegan Emerson:
TopTemp: Parsing Precipitate Structure from Temper Topology. CoRR abs/2204.00629 (2022) - 2021
- [i2]Henry Kvinge, Colby Wight, Sarah Akers, Scott Howland, Woongjo Choi, Xiaolong Ma, Luke J. Gosink, Elizabeth Jurrus, Keerti Kappagantula, Tegan H. Emerson:
A Topological-Framework to Improve Analysis of Machine Learning Model Performance. CoRR abs/2107.04714 (2021) - [i1]Loc Truong, WoongJo Choi, Colby Wight, Lizzy Coda, Tegan Emerson, Keerti Kappagantula, Henry Kvinge:
Differential Property Prediction: A Machine Learning Approach to Experimental Design in Advanced Manufacturing. CoRR abs/2112.01687 (2021)
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