Patents by Inventor Lining ZHANG

Lining ZHANG has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12225924
    Abstract: Methods for creating self-folding materials that change shape in response to grooves created in the surface of the materials and when exposed to a stimuli. A tailored computational design tool, digital fabrication platform and mold for use with the methods also are provided.
    Type: Grant
    Filed: June 22, 2020
    Date of Patent: February 18, 2025
    Assignee: CARNEGIE MELLON UNIVERSITY
    Inventors: Lining Yao, Ye Tao, Yi-Chin Lee, Haolin Liu, Jianxun Cui, Catherine Mondoa, Jasio Santillan, Wen Wang, Teng Zhang
  • Patent number: 12222331
    Abstract: Provided are a system and a method for impact testing and monitoring of a high-energy flexible net. The system includes a vertical impact testing unit, a slope impact testing unit, an impact simulation unit, and an impact monitoring unit. The vertical impact testing unit includes a vertically positioned gravity wall. The slope impact testing unit includes a wall slope positioned perpendicularly to a second side of the gravity wall. A first side of the gravity wall and a slope surface of the wall slope are securely provided with a flexible net, respectively. The impact simulation unit includes an impact assembly and a lifting assembly. The impact monitoring unit is configured to monitor a deformation result and an internal force change result of the flexible net.
    Type: Grant
    Filed: September 26, 2024
    Date of Patent: February 11, 2025
    Assignees: RAILWAY ENGINEERING RESEARCH INSTITUTE, CHINA ACADEMY OF RAILWAY SCIENCES CO., LTD., CHINA ACADEMY OF RAILWAY SCIENCES CO., LTD.
    Inventors: Yufang Zhang, Kun Yuan, Xiaobing Li, Yong Yao, Tao Jia, Lining Du, Tao Wei, Wenchao Zhang, Jian Cui, Bo Liu, Jian Li, Yu Cheng, Shengyong Zeng, Shuangquan Lei, Shiwen Huang, Wenxin Tan, Junjie Zeng, Hao Lan, Jiawei Fan, Ning Xuan, Peng Zhang, Gongming Chen, Pan Chen, Fei Xian, Zehua Dong
  • Publication number: 20240273274
    Abstract: A method of establishing a transistor statistical model based on an artificial neural network system comprising receiving a first data set and generating a nominal model of a baseline transistor by the artificial neural network system based on the first data set; screening neurons in the artificial neural network system based on the first data set and the nominal model to obtain final variational neurons; obtaining distribution of weights of the final variational neurons and distribution of threshold voltages based on variation of the nominal model with respect to weights of the final variational neurons, variation of the nominal model with respect to the threshold voltages, distribution of the drain-source current and distribution of the gate-source voltage in the first data set; and establishing the transistor statistical model based on the nominal model, the distribution of weights of the final variational neurons and the distribution of the threshold voltages.
    Type: Application
    Filed: January 31, 2024
    Publication date: August 15, 2024
    Applicant: Peking University Shenzhen Graduate School
    Inventors: Lining ZHANG, Wu DAI, Yu LI, Runsheng WANG, Ru HUANG
  • Patent number: 11320440
    Abstract: The application of PDCD4 as a drug treatment target for anti-depression and/or anti-anxiety disorders has been proved by experimental research that the increase of PDCD4 is an important factor leading to depression in the process of stress; PDCD4 as a target to inhibit its expression or function can play a good antidepressant role, and has no effect on normal physiological state. Therefore, PDCD4 can be used as a target in the preparation and screening of antidepressant and/or anxiolytic drugs, which has a broad application prospect.
    Type: Grant
    Filed: April 7, 2017
    Date of Patent: May 3, 2022
    Assignee: SHANDONG UNIVERSITY
    Inventors: Lining Zhang, Yuan Li, Qun Wang, Chun Guo, Faliang Zhu
  • Publication number: 20200049717
    Abstract: The application of PDCD4 as a drug treatment target for anti-depression and/or anti-anxiety disorders has been proved by experimental research that the increase of PDCD4 is an important factor leading to depression in the process of stress; PDCD4 as a target to inhibit its expression or function can play a good antidepressant role, and has no effect on normal physiological state. Therefore, PDCD4 can be used as a target in the preparation and screening of antidepressant and/or anxiolytic drugs, which has a broad application prospect.
    Type: Application
    Filed: April 7, 2017
    Publication date: February 13, 2020
    Applicant: SHANDONG UNIVERSITY
    Inventors: Lining ZHANG, Yuan LI, Qun WANG, Chun GUO, Faliang ZHU