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001019515 1001_ $$0P:(DE-HGF)0$$aRahmanian, Fuzhan$$b0
001019515 245__ $$aOne‐Shot Active Learning for Globally Optimal Battery Electrolyte Conductivity**
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001019515 520__ $$aNon-aqueous aprotic battery electrolytes need to perform wellover a wide range of temperatures in practical applications.Herein we present a one-shot active learning study to find allconductivity optima, confidence bounds, and relating formulationtrends in the temperature range from 
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001019515 7001_ $$0P:(DE-HGF)0$$aVogler, Monika$$b1
001019515 7001_ $$0P:(DE-Juel1)176954$$aWölke, Christian$$b2$$ufzj
001019515 7001_ $$0P:(DE-Juel1)186842$$aYan, Peng$$b3$$ufzj
001019515 7001_ $$0P:(DE-Juel1)166130$$aWinter, Martin$$b4$$ufzj
001019515 7001_ $$0P:(DE-Juel1)171204$$aCekic-Laskovic, Isidora$$b5$$ufzj
001019515 7001_ $$00000-0002-3461-0232$$aStein, Helge S.$$b6$$eCorresponding author
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