Matthew R. Maschmann

23 papers B 2Journal 6Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Transformer-Based GAN Architecture for Simulating Carbon Nanotube Structures in the Frequency Domain. ICCVW Trevor Bohl, Minasadat Attari, Matthew R. Maschmann, Filiz Bunyak
2025	J	`jnl`	Active Learning and Explainable AI for Multi-Objective Optimization of Spin Coated Polymers. CoRR Brendan Young, Brendan Alvey, Andreas Werbrouck, Will Murphy, James Keller, Mattias J. Young, Matthew R. Maschmann
2025	—	`conf`	Automated Feature Tracking for Real-Time Kinematic Analysis and Shape Estimation of Carbon Nanotube Growth. ICCVW Kaveh Safavigerdini, Ramakrishna Surya, Jaired Collins, Prasad Calyam, Filiz Bunyak, Matthew R. Maschmann, Kannappan Palaniappan
2025	J	`jnl`	Automated Feature Tracking for Real-Time Kinematic Analysis and Shape Estimation of Carbon Nanotube Growth. CoRR Kaveh Safavigerdini, Ramakrishna Surya, Jaired Collins, Prasad Calyam, Filiz Bunyak, Matthew R. Maschmann, Kannappan Palaniappan
2025	—	`conf`	Closed-Loop CNT Growth Using Retrieval Augmented Generation and Human Feedback. ICHMS Upasana Roy, Vani Seth, Mahady Hasan Rayhan, Ashish Pandey, Mauro Lemus Alarcon, Matthew R. Maschmann, Prasad Calyam
2025	J	`jnl`	LLM Agents for Knowledge Discovery in Atomic Layer Processing. CoRR Andreas Werbrouck, Marshall B. Lindsay, Matthew R. Maschmann, Matthias J. Young
2024	—	`conf`	Learning-based Image Analytics in User-AI Agent Interactions for Cyber-enabled Manufacturing. ICHMS Mauro Lemus Alarcon, Upasana Roy, Anirudh Kambhampati, Nguyen P. Nguyen, Minasadat Attari, Ramakrishna Surya, Filiz Bunyak, Matthew R. Maschmann, Kannappan Palaniappan, Prasad Calyam
2024	—	`conf`	Scanning Electron Microscope Image Segmentation with Foundation AI Vision Model for Nanoparticles in Autonomous Materials Explorations. CAI Timothy B. Gaines, Camden I. Boyle, James M. Keller, Matthew R. Maschmann, Stanton R. Price, Grant J. Scott
2023	—	`conf`	CNT-NeRF: Carbon Nanotube Forest Depth Layer Decomposition in SEM Imagery using Generative Adversarial Networks. CVPR Workshops Nguyen P. Nguyen, Ramakrishna Surya, Prasad Calyam, Kannappan Palaniappan, Matthew R. Maschmann, Filiz Bunyak
2023	—	`conf`	Creating semi-Quanta multi-layer synthetic CNT images using CycleGAN. AIPR Kaveh Safavigerdini, Ramakrishna Surya, Andrew Reinhard, Zach Quinlan, Filiz Bunyak, Matthew R. Maschmann, Kannappan Palaniappan
2023	—	`conf`	Deep Style Transfer for Generation of Photo-realistic Synthetic Images of CNT Forests. AIPR Prashanth Reddy Kotha, Minasadat Attari, Matthew R. Maschmann, Filiz Bunyak
2023	J	`jnl`	Investigating the Electromechanical Sensitivity of Carbon-Nanotube-Coated Microfibers. Sensors Elizabeth Bellott, Yushan Li, Connor Gunter, Scott D. Kovaleski, Matthew R. Maschmann
2023	B	`conf`	Predicting Mechanical Properties of Carbon Nanotube (CNT) Images Using Multi-Layer Synthetic Finite Element Model Simulations. ICIP Kaveh Safavigerdini, Koundinya Nouduri, Ramakrishna Surya, Andrew Reinhard, Zach Quinlan, Filiz Bunyak, Matthew R. Maschmann, Kannappan Palaniappan
2023	J	`jnl`	Predicting mechanical properties of Carbon Nanotube (CNT) images Using Multi-Layer Synthetic Finite Element Model Simulations. CoRR Kaveh Safavigerdini, Koundinya Nouduri, Ramakrishna Surya, Andrew Reinhard, Zach Quinlan, Filiz Bunyak, Matthew R. Maschmann, Kannappan Palaniappan
2023	—	`conf`	Towards Automated Nanoenergetic Reaction Characterization with Computational Vision. AIPR Timothy B. Gaines, J. Alex Hurt, James M. Keller, Grant J. Scott, Camden I. Boyle, Matthew R. Maschmann, Stanton R. Price
2022	B	`conf`	Remote Instrumentation Science Environment for Intelligent Image Analytics. e-Science Mauro Lemus Alarcon, Songjie Wang, Nguyen P. Nguyen, Ashish Pandey, Filiz Bunyak, Matthew R. Maschmann, Kannappan Palaniappan, Prasad Calyam
2022	—	`conf`	Self-supervised Orientation-Guided Deep Network for Segmentation of Carbon Nanotubes in SEM Imagery. ECCV Workshops (8) Nguyen P. Nguyen, Ramakrishna Surya, Matthew R. Maschmann, Prasad Calyam, Kannappan Palaniappan, Filiz Bunyak
2021	—	`conf`	Reinforcement Learning based Carbon Nanotube Growth Automation. AIPR Ashish Pandey, Ramakrishna Surya, Matthew R. Maschmann, Prasad Calyam
2021	J	`jnl`	Surface Plasmon Enhanced Fluorescence Temperature Mapping of Aluminum Nanoparticle Heated by Laser. Sensors Naadaa Zakiyyan, Charles M. Darr, Biyan Chen, Cherian Mathai, Keshab Gangopadhyay, Jacob A. McFarland, Shubhra Gangopadhyay, Matthew R. Maschmann
2020	—	`conf`	Aiding Material Design Through Machine Learning. AIPR Stanton R. Price, Christina H. Young, Matthew R. Maschmann, Steven R. Price
2019	—	`conf`	Exploration of Carbon Nanotube Forest Synthesis-Structure Relationships Using Physics-Based Simulation and Machine Learning. AIPR Taher Hajilounezhad, Zakariya A. Oraibi, Ramakrishna Surya, Filiz Bunyak, Matthew R. Maschmann, Prasad Calyam, Kannappan Palaniappan
2018	—	`conf`	Single-molecule Imaging of Metallic Nanostructures on a Plasmonic Metal Grating Superlens. BIBM Biyan Chen, Aaron Wood, Charles M. Darr, Sangho Bok, Keshab Gangopadhyay, Jacob A. McFarland, Matthew R. Maschmann, Shubhra Gangopadhyay
2016	—	`conf`	Fluorescence-based temperature sensor for in-situ imaging local temperature of aluminum nanoparticles on plasmonic gratings. IEEE SENSORS Biyan Chen, Haisheng Zheng, Junsang Yoon, Sangho Bok, Cherian Mathai, Keshab Gangopadhyay, Shubhra Gangopadhyay, Matthew R. Maschmann