# Bilge Yildiz

Published articles for Bilge Yildiz.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## Paving the way for greener ammonia production

DevFeed: [Paving the way for greener ammonia production](<https://devfeed.tech/articles/paving-the-way-for-greener-ammonia-production-37978.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/paving-way-for-greener-ammonia-production-0820>)

Author: David L. Chandler | Department of Materials Science and Engineering

Published: 2026-08-20T18:45:00Z

Content type: article

Language: en

Sources: [MIT AI News](<https://devfeed.tech/sources/mit-ai-news.md>)

Topics: [Materials science and engineering](<https://devfeed.tech/topics/materials-science-and-engineering.md>), [acid](<https://devfeed.tech/topics/acid.md>)

Tags: [agriculture](<https://devfeed.tech/tags/agriculture.md>), [ai-for-materials-science](<https://devfeed.tech/tags/ai-for-materials-science.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [bilge-yildiz](<https://devfeed.tech/tags/bilge-yildiz.md>), [catalysts](<https://devfeed.tech/tags/catalysts.md>), [chemistry](<https://devfeed.tech/tags/chemistry.md>), [cleaner-fertilizer](<https://devfeed.tech/tags/cleaner-fertilizer.md>), [cleaner-industry](<https://devfeed.tech/tags/cleaner-industry.md>), [computational-materials-science](<https://devfeed.tech/tags/computational-materials-science.md>), [computer-modeling](<https://devfeed.tech/tags/computer-modeling.md>), [dmse](<https://devfeed.tech/tags/dmse.md>), [electrochemical-ammonia-production](<https://devfeed.tech/tags/electrochemical-ammonia-production.md>), [emissions](<https://devfeed.tech/tags/emissions.md>), [energy](<https://devfeed.tech/tags/energy.md>), [fertilizer-production](<https://devfeed.tech/tags/fertilizer-production.md>), [food](<https://devfeed.tech/tags/food.md>), [fossil-fuel](<https://devfeed.tech/tags/fossil-fuel.md>), [green-ammonia](<https://devfeed.tech/tags/green-ammonia.md>), [greener-fertilizer](<https://devfeed.tech/tags/greener-fertilizer.md>), [haber-bosch-process](<https://devfeed.tech/tags/haber-bosch-process.md>), [industry](<https://devfeed.tech/tags/industry.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [materials-science-and-engineering](<https://devfeed.tech/tags/materials-science-and-engineering.md>), [mit-dmse](<https://devfeed.tech/tags/mit-dmse.md>), [nitrogen-dissociation](<https://devfeed.tech/tags/nitrogen-dissociation.md>), [nuclear-science-and-engineering](<https://devfeed.tech/tags/nuclear-science-and-engineering.md>), [pollution](<https://devfeed.tech/tags/pollution.md>), [research](<https://devfeed.tech/tags/research.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [school-of-science](<https://devfeed.tech/tags/school-of-science.md>), [science](<https://devfeed.tech/tags/science.md>), [sustainability](<https://devfeed.tech/tags/sustainability.md>), [transition-metal-nitrides](<https://devfeed.tech/tags/transition-metal-nitrides.md>)

### AI overview

MIT researchers developed an approach to predict promising catalyst materials for electrochemical ammonia production. The method could speed the search for alloys that may help make this lower-emissions process more competitive with the fossil-fuel-dependent Haber-Bosch process.

### Source excerpt

New MIT research could lead to better materials for a fossil-fuel-free process for making the chemical that's essential to fertilizer and other products.