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Pranav Anumandla, Carlos Faggi, Sinan Muftu, Edward Garboczi, Newell Moser, Rachel Cook, Nicholas Derimow, Ozan Ozdemir
Unlike high temperature thermal spray processes and metal additive manufacturing methods that require extensive heat treatment, native particle microstructural
Buddhika Hapuwatte, Noah Last, Sami Karsli, Gaurav Aher, Katherine Morris, Vincenzo Ferrero
A circular economy moves from the current linear model of production and consumption, i.e., the take-make-use-dispose model, to one that uses resources
This work focuses on validating an Artificial Intelligence (AI) based machine learning model to estimate the heat release rate (HRR) from outdoor fires where
Sherifdeen Lawal, Xingmeng Zhao, Anthony Rios, Ram Krishnan, David Ferraiolo
This paper investigates the application of large language models (LLMs) for the automated translation and information extraction of access control policies from
Logan Howe, Andrea Giachero, Jordan Wheeler, Michael Vissers, Jason Austermann, Johannes Hubmayr, Joel Ullom
Quantum computing systems and fundamental physics experiments using superconducting technologies frequently require signal amplification chains operating near
Sampling from the output distributions of quantum computations comprising only commuting gates, known as instantaneous quantum polynomial (IQP) computations, is
One of the key aspects of Circular Economy (CE), particularly when focusing on the product level, lies in its emphasis on designing products to facilitate the
The growing demand for wireless communications has caused significant spectrum congestion, requiring multiple WLAN protocols to share limited spectrum resources
Malcolm Durkin, Douglas Bennett, William Doriese, Johnathon Gard, Johannes Hubmayr, Richard Lew, Erin Maloney, Carl Reintsema, Robinjeet Singh, Daniel Schmidt, Joel Ullom, Leila Vale, Michael Vissers
Time Division multiplexing (TDM) using superconducting quantum interference devices (SQUIDs) is being developed to read out Transition-edge sensor arrays for
Aziza Ben Mosbah, Yishen Sun, Samantha Gamboa Quintiliani, Wesley Garey, Chunmei Liu
This paper investigates the role of Vehicle-to-Vehicle (V2V) communications in enhancing road safety, with a focus on the Emergency Electronic Brake Lights
Lejla Erdal, Ammar Gubartalla, Paulo Victor Lopes, Huizhong Cao, Guodong Shao, Per Lonnehed, Henri Putto, Abbe Ahmed, Sven Ekered, Björn Johansson
As Industry 4.0 technology is still evolving, research and implementation gaps due to issues such as costs, security, and lack of domain expertise for enabling
Deogratias Kibira, Guodong Shao, Rishabh Venketesh, Matthew Triebe
Developing digital twins for manufacturing applications is challenging due to insufficient modeling frameworks and standardized procedures. As a result, the
Due to the increasing demand for spectrum to support unlicensed technologies, the 6 GHz band was opened for unlicensed use in the United States in 2020
Alex Fraley, Ethan Nowery, McCarthy Devine, Adam Jacoff, Paul Oh
The National Institute of Standards and Technology (NIST) has developed standard test methods to evaluate the capabilities of aerial drones, ground robots, and
Larry Fahnestock, Shitao Shi, Rafael Sabelli, Matthew Speicher
Although ductility is a foundational attribute of seismic design, it is not sufficient to provide seismic stability. Instead, persistent positive stiffness that
A variety of network modeling problems begin by generating a degree sequence drawn from a given probability distribution. If the randomly generated sequence is
Craig Shakarji, Kexin Yin, Qunfen Qi, Edward Morse, Vijay Srinivasan
This paper explores a novel role for median curves and surfaces in coordinate metrology, and the techniques to compute these curves and surfaces. The role
Newell Moser, Zack Buck, Nicholas Derimow, May Ling Martin, Damian Lauria, Enrico Lucon, Peter Bradley, Matthew Connolly
Hydrogen is known to deteriorate the mechanical performance of steels (i.e., hydrogen embrittlement). The welding processes involved in the manufacturing and
Zhuo Yang, Gi Suk Hong, Yan Lu, Brandon Lane, Chun-Chun Hu, Haw-Ching Yang
Additive manufacturing (AM) has been evolving from rapid prototyping towards applications in high-volume production and mass manufacturing. However, achieving
Zhuo Yang, Yan Lu, Yande Ndiaye, Mario Lezoche, Herve Panetto
In Additive Manufacturing (AM), it is still a major challenge to manage part quality, which is heavily influenced by feedstock materials, process settings, and
Gi Suk Hong, Zhuo Yang, Yan Lu, Brandon Lane, Ho Yeung, Jaehyuk Kim
Additive manufacturing (AM) process stability is critical for ensuring part quality. Model Predictive Control (MPC) has been widely recognized as a robust
Laser Powder Bed Fusion (LPBF) is a key technique in metal additive manufacturing (AM) that enables the fabrication of parts with complex geometries and
Yan Lu, Zhuo Yang, Jiarui Xie, Mutahar Safdar, Andrei Mircea Romascanu, Hyunwoong Ko, Yaoyao Fiona Zhao
Machine learning (ML)-based monitoring systems have been extensively developed to enhance the print quality of additive manufacturing (AM). In-situ and in