Surface-informed active learning prediction of thermophysical properties for liquid refractory multicomponent alloy

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Police officers from Bangkok’s metropolitan bureau had less than 24 hours to prepare for their latest undercover operation. They would be starring as performers of a lion dance at a temple fair held for the lunar new year. Their mission: track down and arrest a suspected thief who had a history of evading officers.