# Large-Scale Formation Energy Prediction in One Million Crystalline Materials Using Deep Learning and Principal Component Analysis

_Computers, Materials &amp; Continua · Muhammad Imran, Javed Ferzund, Ateeq Ur Rehman Butt et al. · 2026_

Canonical: https://diginpl.com/books/paper-cmc-2026-089520
Last updated: 2026-10-02

## Quick facts

- **Author:** Muhammad Imran; Javed Ferzund; Ateeq Ur Rehman Butt; Abdul Noman; Hessa Alfraihi; Mohamad Khairi Ishak ([Crossref](https://doi.org/10.32604/cmc.2026.089520))
- **Published:** 2026 ([Crossref](https://doi.org/10.32604/cmc.2026.089520))
- **Publisher:** Tech Science Press ([Crossref](https://doi.org/10.32604/cmc.2026.089520))
- **Journal:** Computers, Materials &amp; Continua ([Crossref](https://doi.org/10.32604/cmc.2026.089520))
- **DOI:** 10.32604/cmc.2026.089520 ([Crossref](https://doi.org/10.32604/cmc.2026.089520))

## Questions

**Who wrote Large-Scale Formation Energy Prediction in One Million Crystalline Materials Using Deep Learning and Principal Component Analysis?**  
Large-Scale Formation Energy Prediction in One Million Crystalline Materials Using Deep Learning and Principal Component Analysis was written by Muhammad Imran, Javed Ferzund, Ateeq Ur Rehman Butt, Abdul Noman.

**When was Large-Scale Formation Energy Prediction in One Million Crystalline Materials Using Deep Learning and Principal Component Analysis first published?**  
Large-Scale Formation Energy Prediction in One Million Crystalline Materials Using Deep Learning and Principal Component Analysis was first published in 2026.

## Sources

- [Publisher record (DOI, via Crossref)](https://doi.org/10.32604/cmc.2026.089520)

## Licence and attribution

Open-access publication. Read it free at the publisher: https://doi.org/10.32604/cmc.2026.089520.

## Cite this page

"Large-Scale Formation Energy Prediction in One Million Crystalline Materials Using Deep Learning and Principal Component Analysis". DigiNepal. Last updated 2 October 2026. https://diginpl.com/books/paper-cmc-2026-089520. Retrieved 14 November 2026.
