We’re putting an end to trial and error in materials design


Everything around us can be described as a combination of materials and the list of characteristics that arise from each unique combination. Our favorite example is the battery, which is made of 3 materials. The right combination dictates whether the battery blows up or stores large amounts of energy safely and cost-efficiently. We have been stuck finding the right materials by physical trial and error that’s expensive and time consuming. ReactiveQ is changing that by computationally predicting the right steps required to build a better version of the material of interest.



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mission, our methods, and the results of our work.


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