Toronto, ON, Canada
Data and Analytics · DeepTech · Information Technology · Manufacturing · Software
1 - 10 employees
At Phaseshift, we develop novel high performance alloys using Computational Chemistry and Machine Learning. Our Machine Learning models are trained to predict material properties associated with a large range of alloy compositions in a a few seconds. This, along with our computational chemistry models, enable us to model the behavior of any alloy composition in a time and cost efficient way without any compromises with the accuracy. We use our solution to develop materials for our clients that have a very specific set of needs that are unmet by existing material choices. Currently we are focused on a specialized class of materials - Amorphous Alloys and High Entropy Alloys. These materials are often considered as some of the toughest materials known to us but are less easily commercialized than traditional alloys. Some use cases of these alloys are found in the bio-medical industry, aerospace industry, nuclear industry, etc. We can also optimize our materials for the ever evolving manufacturing landscape and are currently working on projects that involve optimizing are materials for Additive Manufacturing.Something looks off?