Yield-predicting AI needs chemists to stop ignoring failed experiments By / On May 12, 2022 / At 2:04 pm / In Chemical world 27 Views For machine-learning algorithms to make accurate yield predictions, chemists need to start reporting more low-yielding reactions and spell out implied experimental details Post navigation Prev PostAtmospheric helium increasing at a measurable rate Next PostWater flies through fluorine-lined channels You May Also Like Time-resolved spectroscopy shines new light on migratory insertion mechanism On August 8, 2022 | In Chemical world How can companies recycle wind turbine blades? On August 8, 2022 | In Chemical world A groundhog surprise and creative out-of-office replies On August 8, 2022 | In Chemical world