相关实验视频

Updated: Jun 11, 2026

Layer-by-layer Synthesis and Transfer of Freestanding Conjugated Microporous Polymer Nanomembranes
09:09

Layer-by-layer Synthesis and Transfer of Freestanding Conjugated Microporous Polymer Nanomembranes

Published on: December 15, 2015

9.8K

一种数据驱动的接口聚合方法,利用机器学习来预测薄膜复合膜形成

Gergo Ignacz1, Muhammad Irshad Baig1, Karuppasamy Gopalsamy1

  • 1Advanced Membranes and Porous Materials Center, Chemical Engineering Program, Physical Science and Engineering Division (PSE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia. gyorgy.szekely@kaust.edu.sa.

Materials horizons
|September 26, 2025
PubMed
概括

本研究引入了一种数据驱动的方法,用于开发聚合物薄膜膜. 机器学习模型可以直接从单体中预测膜膜的形成,从而推进了膜科学.

更多相关视频

Automated Lipid Bilayer Membrane Formation Using a Polydimethylsiloxane Thin Film08:23

Automated Lipid Bilayer Membrane Formation Using a Polydimethylsiloxane Thin Film

Published on: July 10, 2016

19.0K
Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches07:31

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches

Published on: September 1, 2023

3.1K

相关概念视频

Classification and Mechanical Properties of Synthetic Polymers01:28

Classification and Mechanical Properties of Synthetic Polymers

Synthetic polymers are classified as elastomers, fibers, or plastics based on their crystallinity. Crystallinity, the degree of long-range order in the solid state, influences the mechanical properties (stretching or contracting) of elastomers. Elastomers are flexible polymers that can expand or contract easily upon the application of an external force. They have numerous crosslinks that pull them back into their original shape when stress is removed. Silicones, for instance, are highly elastic...