Date: Wednesday, 8 May, 4PM UK // 11am US Eastern
See how machine learning-led DOE can be applied in just a few button-clicks, cutting experimental workloads by 50-80%.
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In this webinar, we’ll see how machine learning-led Design of Experiments (DOE) guides experimental programs in just a few button-clicks. This reduces the number of experiments by 50-80%, cutting the time and cost required to achieve R&D objectives. The Alchemite™ software removes the need to get to grips with statistical methods that you’ll find with conventional DOE software. We’ll demonstrate its simple task-oriented web browser user interface, designed for scientists. You will find out how to quickly prepare data, generate targeted experiments using an adaptive design of experiments approach, and apply graphical analysis tools to extract valuable additional insights from the data. The demonstration will be supported by case study examples showing how Alchemite™ has been applied in formulation development, chemistry, and materials research. Join us to take the fast-track to DOE success.