35 citations · 189 across the 22 of their papers we have counts for
22 papers
Stiff-FCS: Single-Cell Stiffness Profiling With Integrated Molecular and Functional Analysis
Yuhao Zhang, Luyao Zhao, Zhengfu Huang +9
Cell stiffness is a key determinant of how cells deform, migrate, and adapt to mechanically restrictive environments, yet existing single-cell stiffness assays remain difficult to…
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…
Build AI Assistants using Large Language Models and Agents to Enhance the Engineering Education of Biomechanics
Hanzhi Yan, Qin Lu, Xianqiao Wang +3
While large language models (LLMs) have demonstrated remarkable versatility across a wide range of general tasks, their effectiveness often diminishes in domain-specific applicatio…
Ferrohydrodynamic Microfluidics for Bioparticle Separation and Single-Cell Phenotyping: Principles, Applications, and Emerging Directions
Yuhao Zhang, Yong Teng, Kenan Song +7
Ferrohydrodynamic microfluidics relies on magnetic field gradients to manipulate diamagnetic particles in ferrofluid-filled microenvironments. It has emerged as a promising tool fo…
Automatic Classification of Circulating Blood Cell Clusters based on Multi-channel Flow Cytometry Imaging
Suqiang Ma, Subhadeep Sengupta, Yao Lee +7
Circulating blood cell clusters (CCCs) containing red blood cells (RBCs), white blood cells(WBCs), and platelets are significant biomarkers linked to conditions like thrombosis, in…
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…
Large Language Models for Bioinformatics
Wei Ruan, Yanjun Lyu, Jing Zhang +52
With the rapid advancements in large language model (LLM) technology and the emergence of bioinformatics-specific language models (BioLMs), there is a growing need for a comprehens…
Physics-informed deep learning for infectious disease forecasting
Ying Qian, Kui Zhang, Éric Marty +7
Accurate forecasting of contagious diseases is critical for public health policymaking and pandemic preparedness. We propose a new infectious disease forecasting model based on phy…
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…
Evaluation of OpenAI o1: Opportunities and Challenges of AGI
Tianyang Zhong, Zhengliang Liu, Yi Pan +74
This comprehensive study evaluates the performance of OpenAI's o1-preview large language model across a diverse array of complex reasoning tasks, spanning multiple domains, includi…
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,…
LLMs for Coding and Robotics Education
Peng Shu, Huaqin Zhao, Hanqi Jiang +9
Large language models and multimodal large language models have revolutionized artificial intelligence recently. An increasing number of regions are now embracing these advanced te…
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…
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…
AGI for Agriculture
Guoyu Lu, Sheng Li, Gengchen Mai +11
Artificial General Intelligence (AGI) is poised to revolutionize a variety of sectors, including healthcare, finance, transportation, and education. Within healthcare, AGI is being…
High Curie temperature half metallic 2D M2Se3 (M = Co, Ni, and Pd) monolayers with superior mechanical flexibility
Peng Lv, Gang Tang, Chao Yang +5
Pursuing two-dimensional (2D) intrinsic ferromagnetism with high Curie temperature and great mechanical flexibility has attracted great interest in flexible spintronics. In the pre…
Coarse Grain Molecular Dynamics Simulation of Fibrin Polymerization
Sumith Yesudasan, Rodney D. Averett
Studies suggests that patients with deep vein thrombosis and diabetes often have hy-per coagulable blood plasma leading to higher chances of forming thromboembolisms by the rupture…
Molecular Dynamics Simulations Indicate that Deoxyhemoglobin, Oxyhemoglobin, Carboxyhemoglobin, and Glycated Hemoglobin under Compression and Shear Exhibit an Anisotropic Mechanical Behavior
Sumith Yesudasan, Xianqiao Wang, Rodney D. Averett
We developed a new mechanical model for determining the compression and shear mechanical behavior of four different hemoglobin structures. Previous studies on hemoglobin structures…