The impact of social integration on student persistence in introductory Modeling Instruction courses. - Justyna P. Zwolak; Eric Brewe (CoRR, 2015)

Ray-based classification framework for high-dimensional data. - Justyna P. Zwolak; Sandesh S. Kalantre; Thomas McJunkin; Brian J. Weber; Jacob M. Taylor (CoRR, 2020)

Ray-based framework for state identification in quantum dot devices. - Justyna P. Zwolak; Thomas McJunkin; Sandesh S. Kalantre; Samuel F. Neyens; E. R. MacQuarrie; Mark A. Eriksson; Jacob M. Taylor (CoRR, 2021)

Toward Robust Autotuning of Noisy Quantum Dot Devices. - Joshua Ziegler; Thomas McJunkin; E. S. Joseph; Sandesh S. Kalantre; Benjamin Harpt; D. E. Savage; Mark G. Lagally; Mark A. Eriksson; Jacob M. Taylor; Justyna P. Zwolak (CoRR, 2021)

Combining Machine Learning with Physics: A Framework for Tracking and Sorting Multiple Dark Solitons. - Shangjie Guo; Sophia M. Koh; Amilson R. Fritsch; Ian B. Spielman; Justyna P. Zwolak (CoRR, 2021)

Colloquium: Advances in automation of quantum dot devices control. - Justyna P. Zwolak; Jacob M. Taylor (CoRR, 2021)

Machine-learning enhanced dark soliton detection in Bose-Einstein condensates. - Shangjie Guo; Amilson R. Fritsch; Craig Greenberg; Ian B. Spielman; Justyna P. Zwolak (Mach. Learn. Sci. Technol., 2021)

Restoring the structure: A modular analysis of ego-driven organizational networks. - Robert P. Dalka; Justyna P. Zwolak (CoRR, 2022)

Tuning arrays with rays: Physics-informed tuning of quantum dot charge states. - Joshua Ziegler; Florian Luthi; Mick Ramsey; Felix Borjans; Guoji Zheng; Justyna P. Zwolak (CoRR, 2022)

Theoretical Bounds on Data Requirements for the Ray-Based Classification. - Brian J. Weber; Sandesh S. Kalantre; Thomas McJunkin; Jacob M. Taylor; Justyna P. Zwolak (SN Comput. Sci., 2022)

Dark solitons in Bose-Einstein condensates: a dataset for many-body physics research. - Amilson R. Fritsch; Shangjie Guo; Sophia M. Koh; Ian B. Spielman; Justyna P. Zwolak (Mach. Learn. Sci. Technol., 2022)

Automated extraction of capacitive coupling for quantum dot systems. - Joshua Ziegler; Florian Luthi; Mick Ramsey; Felix Borjans; Guoji Zheng; Justyna P. Zwolak (CoRR, 2023)

Extending Explainable Boosting Machines to Scientific Image Data. - Daniel Schug; Sai S. Yerramreddy; Rich Caruana; Craig Greenberg; Justyna P. Zwolak (CoRR, 2023)

QDA2: A principled approach to automatically annotating charge stability diagrams. - Brian J. Weber; Justyna P. Zwolak (CoRR, 2023)

Data Needs and Challenges of Quantum Dot Devices Automation: Workshop Report. - Justyna P. Zwolak; Jacob M. Taylor; Reed Andrews; Jared Benson; Garnett W. Bryant; Donovan Buterakos; Anasua Chatterjee; Sankar Das Sarma; Mark A. Eriksson; Eliska Greplova; Michael J. Gullans; Fabian Hader; et al. (CoRR, 2023)

Explainable Classification Techniques for Quantum Dot Device Measurements. - Daniel Schug; Tyler J. Kovach; M. A. Wolfe; Jared Benson; Sanghyeok Park; J. P. Dodson; J. Corrigan; Mark A. Eriksson; Justyna P. Zwolak (CoRR, 2024)

Autonomous Bootstrapping of Quantum Dot Devices. - Anton Zubchenko; Danielle Middlebrooks; Torbjørn Rasmussen; Lara Lausen; Ferdinand Kuemmeth; Anasua Chatterjee; Justyna P. Zwolak (CoRR, 2024)

MAViS: Modular Autonomous Virtualization System for Two-Dimensional Semiconductor Quantum Dot Arrays. - Anantha S. Rao; Donovan Buterakos; Barnaby van Straaten; Valentin John; Cécile X. Yu; Stefan D. Oosterhout; Lucas Stehouwer; Giordano Scappucci; Menno Veldhorst; Francesco Borsoi; Justyna P. Zwolak (CoRR, 2024)

BATIS: Bootstrapping, Autonomous Testing, and Initialization System for Quantum Dot Devices. - Tyler J. Kovach; Daniel Schug; M. A. Wolfe; E. R. MacQuarrie; Patrick J. Walsh; Jared Benson; Mark Friesen; Mark A. Eriksson; Justyna P. Zwolak (CoRR, 2024)

Automation of quantum dot measurement analysis via explainable machine learning. - Daniel Schug; Tyler J. Kovach; M. A. Wolfe; Jared Benson; Sanghyeok Park; J. P. Dodson; J. Corrigan; Mark A. Eriksson; Justyna P. Zwolak (Mach. Learn. Sci. Technol., 2025)