skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Explore Research Products in the PAR
It may take a few hours for recently added research products to appear in PAR search results.


  • Home
  • Search Results
  • Page 1 of 27

Search for: All records

Creators/Authors contains: "Li, Wei"

Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

  1. ; ; ; ; (, IEEE Internet of Things Journal)
    Free, publicly-accessible full text available June 1, 2026
  2. ; ; ; ; ; (, Journal of Dynamic Systems, Measurement, and Control)
    Abstract For efficient roll-to-roll (R2R) production of flexible electronic components, a precise R2R transfer peeling process is essential, requiring accurate modeling and control. This paper introduces a novel approach to confining the dynamics of a nonlinear R2R mechanical peeling system within a convex set known as a norm-bounded linear differential inclusion (NLDI). This method utilizes constraints on uncertain system variables to create a tighter NLDI representation compared to other convexification techniques. Moreover, it offers drastically reduced computational cost compared to previous methods applied to convexify the R2R peeling system. The NLDI is employed to generate an H∞-optimal controller for the R2R peeling system, and both simulations and experiments demonstrate better dynamic performance compared to other controllers for R2R transfer. 
    more » « less
    Free, publicly-accessible full text available May 1, 2026
  3. ; ; ; ; ; (, Journal of Manufacturing Science and Engineering)
    Abstract Roll-to-roll (R2R) manufacturing is a highly efficient industrial method for continuously processing flexible webs through a series of rollers. With advancements in technology, R2R manufacturing has emerged as one of the most economical production methods for advanced products, such as flexible electronics, renewable energy devices, and 2D materials. However, the development of cost-effective and efficient manufacturing processes for these products presents new challenges, including higher precision requirements, the need for improved in-line quality control, and the integration of material processing dynamics into the traditional web handling system. This paper reviews the state of the art in advanced R2R manufacturing, focusing on modeling and control, and highlights research areas that need further development. 
    more » « less
    Free, publicly-accessible full text available April 1, 2026
  4. ; ; ; ; ; (, Nature Materials)
    Free, publicly-accessible full text available April 1, 2026
  5. ; ; ; ; (, IEEE ICDM 2024)
    Free, publicly-accessible full text available February 21, 2026
  6. ; ; ; ; (, IEEE)
    Free, publicly-accessible full text available February 21, 2026
  7. ; ; ; ; ; (, Lab on a Chip)
    Heterogeneities among tumor cells significantly contribute towards cancer progression and therapeutic inefficiency. Herein, we discuss recent microfluidic platforms for sorting and profiling of tumor cells for prognostics and personalized therapies. 
    more » « less
    Free, publicly-accessible full text available February 25, 2026
  8. ; (, Genome Biology)
    Abstract Spatially resolved transcriptomics technologies have opened new avenues for understanding gene expression heterogeneity in spatial contexts. However, existing methods for identifying spatially variable genes often focus solely on statistical significance, limiting their ability to capture continuous expression patterns and integrate spot-level covariates. To address these challenges, we introduce spVC, a statistical method based on a generalized Poisson model. spVC seamlessly integrates constant and spatially varying effects of covariates, facilitating comprehensive exploration of gene expression variability and enhancing interpretability. Simulation and real data applications confirm spVC’s accuracy in these tasks, highlighting its versatility in spatial transcriptomics analysis. 
    more » « less
    Free, publicly-accessible full text available December 1, 2025
  9. ; ; ; ; (, IEEE)
    Free, publicly-accessible full text available December 9, 2025
  10. ; ; ; (, Genome Biology)
    Abstract Two correspondences raised concerns or comments about our analyses regarding exaggerated false positives found by differential expression (DE) methods. Here, we discuss the points they raise and explain why we agree or disagree with these points. We add new analysis to confirm that the Wilcoxon rank-sum test remains the most robust method compared to the other five DE methods (DESeq2, edgeR, limma-voom, dearseq, and NOISeq) in two-condition DE analyses after considering normalization and winsorization, the data preprocessing steps discussed in the two correspondences. 
    more » « less
    Free, publicly-accessible full text available December 1, 2025