# Simple Correction Improves Computational Materials Discovery

**URL:** <https://community.materialssquare.com/t/simple-correction-improves-computational-materials-discovery/898>\
**Category:** News\
**Created:** [November 14, 2024, 5:08pm UTC](https://community.materialssquare.com/t/simple-correction-improves-computational-materials-discovery/898 "2024-11-14T17:08:06Z")\
**Posts on this page:** 1\
**Page:** 1

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**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:** [November 14, 2024, 5:08pm UTC](https://community.materialssquare.com/t/simple-correction-improves-computational-materials-discovery/898/1 "2024-11-14T17:08:06Z")

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Researchers at the Toyota Research Institute have introduced a “simple correction” to enhance AI-assisted computational materials discovery. This adjustment addresses limitations in density functional theory (DFT), which often inaccurately predicts the electronic properties of complex materials. By refining DFT calculations with data-driven correction models, the team achieved more precise predictions without requiring intensive computational resources. This improvement accelerates materials discovery by providing reliable results more efficiently, paving the way for advancements in fields like battery development and catalysis where accurate material properties are crucial.

For more details, please continue reading the full article under the following link:

> **[Simple Correction Improves Computational Materials Discovery](https://medium.com/toyotaresearch/simple-correction-improves-ai-assisted-material-discovery-f0ea0269df58)**
>
> By addressing the root cause of a simulation calibration error, new materials discovered with AI will be more relevant.

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In general, if you enjoy reading this kind of scientific news articles, I would also be keen to connect with fellow researchers based on common research interests, including the possibility to discuss about any potential interest in the Materials Square cloud-based platform ( [www.matsq.com](http://www.matsq.com) ), designed for streamlining the execution of materials and molecular atomistic simulations!

Best regards,

Dr. Gabriele Mogni  
Technical Consultant and EU Representative  
Virtual Lab Inc., the parent company of the Materials Square platform  
Website: [Home | Virtual Lab Inc.](http://www.virtuallab.co.kr/en/)  
Email: gabriele@simulation.re.kr

#materials #materialsscience #materialsengineering #computationalchemistry #modelling #chemistry #researchanddevelopment #research #MaterialsSquare #ComputationalChemistry #Tutorial #DFT #simulationsoftware #simulation
