60 citations · 252 across the 17 of their papers we have counts for
19 papers
In-situ process monitoring for defect detection in wire-arc additive manufacturing: an agentic AI approach
Pallock Halder, Satyajit Mojumder
AI agents are being increasingly deployed across a wide range of real-world applications. In this paper, we propose an agentic AI framework for in-situ process monitoring for defec…
Multimodal learning of melt pool dynamics in laser powder bed fusion
Satyajit Mojumder, Pallock Halder, Tiana Tonge
While multiple sensors are used for real-time monitoring in additive manufacturing, not all provide practical or reliable process insights. For example, high-speed X-ray imaging of…
Physics-guided denoiser network for enhanced additive manufacturing data quality
Pallock Halder, Satyajit Mojumder
Modern engineering systems are increasingly equipped with sensors for real-time monitoring and decision-making. However, the data collected by these sensors is often noisy and diff…
Simulation-Free Determination of Microstructure Representative Volume Element Size via Fisher Scores
Wei Liu, Satyajit Mojumder, Wing Kam Liu +2
A representative volume element (RVE) is a reasonably small unit of microstructure that can be simulated to obtain the same effective properties as the entire microstructure sample…
Interpolating neural network: A novel unification of machine learning and interpolation theory
Chanwook Park, Sourav Saha, Jiachen Guo +8
Artificial intelligence (AI) has revolutionized software development, shifting from task-specific codes (Software 1.0) to neural network-based approaches (Software 2.0). However, a…
Statistical Parameterized Physics-Based Machine Learning Digital Twin Models for Laser Powder Bed Fusion Process
Yangfan Li, Satyajit Mojumder, Ye Lu +7
A digital twin (DT) is a virtual representation of physical process, products and/or systems that requires a high-fidelity computational model for continuous update through the int…