High-Entropy Phosphate Synthesis: Advancements through Automation and Sequential Learning Optimization

Transition metal phosphates (TMPs) are extensively explored for electrochemical and catalytical applications due to their structural versatility and chemical stability. Within this material class, novel high-entropy metal phosphates (HEMPs)containing multiple transition metals combined into a singl...

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Bibliographic Details
Main Author:	Stephanos Karafiludis (12902591) (author)
Other Authors:	Jacob Standl (22259425) (author), Tom W. Ryll (22259428) (author), Alexander Schwab (11553153) (author), Carsten Prinz (18830743) (author), Jakob B. Wolf (22259431) (author), Sabine Kruschwitz (17136202) (author), Franziska Emmerling (1362096) (author), Christoph Völker (22259434) (author), Tomasz M. Stawski (1705369) (author)
Published:	2025
Subjects:	Biochemistry Medicine Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified suitable hemp compositions sequential learning app phosphate octahydrate phase phase structure  phase crystalline solid optimize hemp compositions model successfully predicted machine learning approach identified multimetal compositions efficient design pathway catalytical applications due specific synthesis conditions entropy metal phosphates 3 </ sub 2 </ sub 1 </ sub advanced functional materials entropy phosphate synthesis entropy materials chemical synthesis work highlights validated experimentally structural versatility particularly promising novel co material class limited set initial experiments extensively explored efficiently explore driven algorithms compositional complexity chemical stability
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High-Entropy Phosphate Synthesis: Advancements through Automation and Sequential Learning Optimization

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