# Modeling system could enable future generations of self-sensing materials **URL:** \ **Category:** News\ **Created:** [October 8, 2024, 3:12pm UTC](https://community.materialssquare.com/t/modeling-system-could-enable-future-generations-of-self-sensing-materials/738 "2024-10-08T15:12:18Z")\ **Posts on this page:** 1\ **Page:** 1
**Author:** ![gabriele1](https://yyz1.discourse-cdn.com/flex003/user_avatar/community.materialssquare.com/gabriele1/32/20_2.png) [@gabriele1](https://community.materialssquare.com/u/gabriele1)\ **Post date:** [October 8, 2024, 3:12pm UTC](https://community.materialssquare.com/t/modeling-system-could-enable-future-generations-of-self-sensing-materials/738/1 "2024-10-08T15:12:19Z")
Researchers from the University of Glasgow have developed a new modeling system to predict the behavior of 3D-printed self-sensing materials. These materials can detect strain, load, and damage by monitoring electrical current changes, enabling real-time monitoring in structures like airplanes, robots, and bridges. The system, validated through lab experiments and modeling, predicts how materials will perform under various conditions, reducing the need for trial and error. This breakthrough could lead to more efficient development of advanced materials for aerospace, civil engineering, and beyond. For more details, visit the full article here: > **[Modeling system could enable future generations of self-sensing materials](https://phys.org/news/2024-10-enable-future-generations-materials.html)** > > Research that eliminates the guesswork in developing advanced 3D printed materials could help accelerate the development of new forms of "self-sensing" airplanes, robots, bridges and more. #materials #materialsscience #materialsengineering #computationalchemistry #modelling #chemistry #researchanddevelopment #research #MaterialsSquare #ComputationalChemistry #Tutorial #DFT #simulationsoftware #simulation