Developing new materials for critical applications requires time-consuming testing and experimentation to determine their long-term performance and integrity. Materials used in extreme environments require long-term reliability, as repair is often not feasible. Traditional materials discovery workflows based on a trial-and-error approach must be replaced by a more efficient data-driven process that could accelerate the deploymentContinue reading “Unveiling a New Horizon: Predictive Science Based Multiscale Modeling and AI Tools for Accelerated Materials Discovery”
Tag Archives: machine learning
Machine Learning Model Using Decision Trees — Random Forest Model
The use of Machine Learning (ML) algorithms in the field of big data analysis has been a thing of paramount importance in the current information age. In the context of scientific computing, ML models implementing these algorithms serve as a faster means to get to the results than pure iterations. In this article, we willContinue reading “Machine Learning Model Using Decision Trees — Random Forest Model”
Theoretical & Computational Materials Science 