A recent 2025 Nature Communications study by Axel Tosello Gardini and colleagues shows that machine learning-driven molecular dynamics can unveil catalyst transformations in barium hydride, enhancing ammonia synthesis through a chemical looping process. The results highlight how dynamic simulations can shed light on reaction mechanisms. Consider exploring these insights for innovative reaction strategies.

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Machine learning-driven molecular dynamics unveils a bulk phase transformation driving ammonia synthesis on barium hydride