Keerti Kappagantula

According to our database, Keerti Kappagantula authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Automated Grain Boundary (GB) Segmentation and Microstructural Analysis in 347H Stainless Steel Using Deep Learning and Multimodal Microscopy.

Shoieb Ahmed Chowdhury, M. F. N. Taufique, Jing Wang, Marissa Masden, Madison Wenzlick, Ram Devanathan, Alan L. Schemer-Kohrn, Keerti Sahithi Kappagantula

CoRR, 2023

Neural Lumped Parameter Differential Equations with Application in Friction-Stir Processing.

James Koch, WoongJo Choi, Ethan King, David Garcia, Hrishikesh Das, Tianhao Wang, Ken Ross, Keerti Kappagantula

CoRR, 2023

Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Towards ML-assisted Advanced Manufacturing.

Scott Howland, Lara Kassab, Keerti Kappagantula, Henry Kvinge, Tegan Emerson

CoRR, 2023

2022

TopTemp: Parsing Precipitate Structure from Temper Topology.

Lara Kassab, Scott Howland, Henry Kvinge, Keerti Sahithi Kappagantula, Tegan Emerson

Proceedings of the Topological, 2022

Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps.

Elizabeth Coda, Nico Courts, Colby Wight, Loc Truong, WoongJo Choi, Charles Godfrey, Tegan Emerson, Keerti Kappagantula, Henry Kvinge

Proceedings of the Topological, 2022

2021

Differential Property Prediction: A Machine Learning Approach to Experimental Design in Advanced Manufacturing.

Loc Truong, WoongJo Choi, Colby Wight, Lizzy Coda, Tegan Emerson, Keerti Kappagantula, Henry Kvinge

CoRR, 2021

A Topological-Framework to Improve Analysis of Machine Learning Model Performance.

Henry Kvinge, Colby Wight, Sarah Akers, Scott Howland, Woongjo Choi, Xiaolong Ma, Luke J. Gosink, Elizabeth Jurrus, Keerti Kappagantula, Tegan H. Emerson

CoRR, 2021