Advances in Computer Modelling with Digital Twins and CAD @ Molecular Level
The talk will explore the emerging area of computer modelling in the arena of Digital Twins and CAD at molecular levels. Digital Twin is a live digital representation of a physical system that is predictive in nature and uses continuous learning to get better as new data comes in from the physical system. Digital Twins coupled with AI technologies such as deep learning, and high performance computing are used to precisely predict future behavior under new scenarios and optimize the systems. Today, models are made of lots of structures in softwares for CAD/CAM/CAE analysis. Meshing is one of the most regular, cumbersome but most important part of all such analyses. The idea here is to remove this part from these softwares and do the modelling using the basic building block of any matter i.e. atomic/molecular level in same fashion, as it exists in nature without worrying about the meshing.