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.