How computational guidelines and data-driven is reshaping inorganic material synthesis?
Peer-Reviewed Publication
Updates every hour. Last Updated: 26-Jun-2025 16:10 ET (26-Jun-2025 20:10 GMT/UTC)
Given the multitude of conditions that must be optimized in synthesis routes, chemical synthesis remains a complex and multidimensional challenge. The rapid development of computational guidelines and machine learning (ML) techniques has brought exciting hope to this dilemma. A new study published in the journal National Science Review highlights the advancement of computationally guided and ML-assisted approaches in inorganic material synthesis.
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