I am currently a postdoctoral researcher at the Laboratory for Atomistic and Molecular Mechanics (LAMM), focusing on designing advanced materials with exceptional mechanical properties. My research aims to connect atomic-scale phenomena to macroscopic material properties by integrating physics-based theoretical models and machine learning. Specifically, I study the influence of crystal defects like vacancies, dislocations, grain boundaries, cracks, and solutes on materials' mechanical properties, such as yield stress and fracture toughness, using atomistic simulations like Molecular Dynamics, Molecular Statics, and Monte Carlo. Additionally, I employ Machine Learning and Deep Learning generative models to accelerate and automate materials design, enhancing the efficiency and accuracy of predicting material properties. My goal is to contribute significantly to the scientific community by advancing our understanding of materials behavior across scales.

​

-Alireza Ghafarollahi

​

PostDoctoral Research Scholor, PhD

Laboratory for Atomistic and Molecular Mechanics (LAMM),

Massachusetts Institute of Technology,

Cambridge, Massachusetts, USA

​

​

​