Artificial Intelligence

for Advanced Alloy Design

Rapid alloy composition discovery through materials property predictions and behavior modeling.

 

Predictions

Our machine learning models enable us to predict a range of properties associated with any arbitrary alloy composition within seconds.

Modeling

We use state-of-the-art computational chemistry tools to accurately model the properties and behaviors associated with alloys from atomic to mesoscale.

1

CONCEPT

Derive a list of material properties based on the need of a client - generally, end-user or manufacturer.

2

PREDICTION

Generate material compositions that satisfy the objective properties through predictive algorithms.

3

MODELING

Accurately model the properties of the predicted material and further fine-tune the compositions.

4

EVALUATION

Experimental evaluation of the computational results through mechanical testing and characterization.

BMG

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. 

 

Additive Manufacturing

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.

Founding Team

Fazal

Chief Executive Officer

A Physics graduate with 2 years of experience in A.I. and Quantum Computing.

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Gurjot

Chief Technology Officer

Ph.D. in Industrial Engineering, with a focus on using Machine Learning for Materials Science.

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Abu

Chief Science Officer

2nd year of Ph.D. with focus on Concentrated Alloy Design through Computational Chemistry.

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News

 
Contact Us
 

Phaseshift Technologies Inc.

info@thephaseshift.com