Chemists and material scientists harness the powers of matter to create unique solutions such as air bags, resorbable biomaterials, and microfluidic devices.  The realization of these solutions is contingent upon a series of complex chemical reactions that are sensitive to environmental parameters, such as temperature, humidity, light, and pressure.  A comprehensive analysis of the controlled environments can be facilitated through the use of powerful new technologies such as machine learning, internet of things (IoT), and predictive analytics.

Experimental irreproducibility, process failure, optimization, and success are all affected by unseen, unmeasured forces. Elemental Machines IoT-equipped solutions measure these parameters for you in the background, so that you can focus on more value-add, complex work.  When you integrate background measurements with our data science tools, you gain powerful insights on the driving parameters behind successful or failed outcomes.  (After all, failure is a stopover on the way to success.) For example, imagine how a temperature or humidity shift may adversely impact a polymerization reaction. Our solutions can alert you to parameter shifts real-time and save you from troubleshooting downstream in the process. 

Furthermore, Elemental Machines data analytics algorithms can help predict when process equipment may malfunction.  This allows you to schedule a service call for your equipment before you initiate a critical process, thus saving precious samples from costly re-processing.

Contact us to learn more about how our solutions can help you achieve and maintain desired outcomes for chemistry and material science processes.

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