for Advanced Alloy Design
Rapid alloy composition discovery through materials property predictions and behavior modeling.
Our machine learning models enable us to predict a range of properties associated with any arbitrary alloy composition within seconds.
We use state-of-the-art computational chemistry tools to accurately model the properties and behaviors associated with alloys from atomic to mesoscale.
Derive a list of material properties based on the need of a client - generally, end-user or manufacturer.
Generate material compositions that satisfy the objective properties through predictive algorithms.
Accurately model the properties of the predicted material and further fine-tune the compositions.
Experimental evaluation of the computational results through mechanical testing and characterization.
Our models are currently focused on Bulk Metallic Glass (BMG) or Amorphous Alloys. These materials are significantly tougher and resistant to corrosion than some of the most durable alloys known.
We optimize the properties of our models for the evolving additive manufacturing landscape. Our computational chemistry models enable us to model processes such as Laser Powder Bed Fusion, Direct Energy Deposition, etc.