22 citations · 28 across the 9 of their papers we have counts for
9 papers
Tau-induced atrophy drives functional connectivity disruption in Alzheimer's disease
Kun Jiang, Can Liao, Sujin Jiang +9
Alzheimer's disease involves progressive tau accumulation and spread, leading to regional brain atrophy and disruption of large-scale functional networks. While tau propagation and…
Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems
Sohan Shankar, Yi Pan, Hanqi Jiang +43
This position and survey paper identifies the emerging convergence of neuroscience, artificial general intelligence (AGI), and neuromorphic computing toward a unified research para…
Mechanical Characterization of Brain Tissue: Experimental Techniques, Human Testing Considerations, and Perspectives
Jixin Hou, Kun Jiang, Arunachalam Ramanathan +12
Understanding the mechanical behavior of brain tissue is crucial for advancing both fundamental neuroscience and clinical applications. Yet, accurately measuring these properties r…
A Multi-Agent Framework Integrating Large Language Models and Generative AI for Accelerated Metamaterial Design
Jie Tian, Martin Taylor Sobczak, Dhanush Patil +10
Metamaterials, renowned for their exceptional mechanical, electromagnetic, and thermal properties, hold transformative potential across diverse applications, yet their design remai…
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,…
Automated Data-Driven Discovery of Material Models Based on Symbolic Regression: A Case Study on Human Brain Cortex
Jixin Hou, Xianyan Chen, Taotao Wu +2
We introduce a data-driven framework to automatically identify interpretable and physically meaningful hyperelastic constitutive models from sparse data. Leveraging symbolic regres…
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…