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)

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)

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 (TAG-ML, 2022)

TopTemp: Parsing Precipitate Structure from Temper Topology. - Lara Kassab; Scott Howland; Henry Kvinge; Keerti Sahithi Kappagantula; Tegan Emerson (TAG-ML, 2022)

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)

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 012; Ken Ross; Keerti Kappagantula (J. Intell. Manuf., 2025)

First Contact: Data-driven Friction-Stir Process Control. - James Koch; Ethan King; WoongJo Choi; Megan Ebers; David Garcia; Ken Ross; Keerti Kappagantula (CoRR, 2025)