32 citations · 60 across the 7 of their papers we have counts for
7 papers
Large Language Models for Manufacturing
Yiwei Li, Huaqin Zhao, Hanqi Jiang +21
The rapid advances in Large Language Models (LLMs) have the potential to transform manufacturing industry, offering new opportunities to optimize processes, improve efficiency, and…
Role of Data-driven Regional Growth Model in Shaping Brain Folding Patterns
Jixin Hou, Zhengwang Wu, Xianyan Chen +5
The surface morphology of the developing mammalian brain is crucial for understanding brain function and dysfunction. Computational modeling offers valuable insights into the under…
Hyperelasticity of Blood Clots: Bridging the Gap between Microscopic and Continuum Scales
Nicholas Filla, Beikang Gu, Jixin Hou +4
The biomechanical properties of blood clots, which are dictated by their compositions and micro-structures, play a critical role in determining their fates, occlusion, persistency,…
Assessing Large Language Models in Mechanical Engineering Education: A Study on Mechanics-Focused Conceptual Understanding
Jie Tian, Jixin Hou, Zihao Wu +11
This study is a pioneering endeavor to investigate the capabilities of Large Language Models (LLMs) in addressing conceptual questions within the domain of mechanical engineering w…
Exploring hyperelastic material model discovery for human brain cortex: multivariate analysis vs. artificial neural network approaches
Jixin Hou, Nicholas Filla, Xianyan Chen +3
Traditional computational methods, such as the finite element analysis, have provided valuable insights into uncovering the underlying mechanisms of brain physical behaviors. Howev…
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges
Fei Dou, Jin Ye, Geng Yuan +22
Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and execute tasks with human cognitive abilities, engenders significant anticipation and intrig…