Science
Machine learning simulations reveal how plastic transforms into hard carbon
Publication: Phys.org - latest science and technology news stories
Author: Not available in collected metadata
Source published: 28/10/2026, 11:00:08 UTC
Briefing created: 28/10/2026, 11:11:16 UTC
Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 28/10/2026, 11:10:24 UTC.
Briefings
Researchers at the University of Oxford used machine learning simulations to trace how common polymers transform into hard carbon, revealing atomic-scale processes that create its disordered structure. This study, published in Chemical Science, provides a new understanding of the material's formation mechanisms.
Key points
- Researchers from the University of Oxford's Department of Chemistry used machine learning simulations to trace how polymers transform into hard carbon.
- The study reveals atomic-scale processes responsible for the material's disordered structure.
Context
This research provides a new understanding of how common polymers transform into hard carbon, a technologically important material with disordered atomic structures.
Limitations
The study is limited to machine learning simulations and does not include experimental verification or long-term durability testing.
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