S. Arumugam, C. Bream
Ansys,
United Kingdom
Keywords: ICME, materials science, materials engineering
Summary:
The rapid advancement of materials science is crucial for technological innovations across industries, from aerospace and automotive to electronics and healthcare. Integrated Computational Materials Engineering (ICME) has emerged as a transformative approach, enabling a seamless multiscale understanding of material behavior through physics-based simulations and machine learning. This presentation specifically covers how the partnership between Ansys and Schrödinger is helping accelerate materials innovation through their combined ICME framework. This ICME-driven approach significantly enhances the speed and accuracy of materials development by leveraging high-fidelity simulations, Artificial Intelligence (AI), and data-driven workflows. It reduces the trial-and-error process in experimental research, accelerating the identification of novel materials with tailored properties, such as high-strength alloys, energy-efficient semiconductors, and advanced polymers. Moreover, the combination of Ansys' Finite Element Analysis (FEA) and Schrödinger's first-principles modelling ensures that material innovations align with both fundamental scientific principles and practical engineering requirements. By reducing development time, minimizing costs, and enhancing predictive accuracy, this ICME framework is poised to revolutionize materials design and deployment. Ultimately, the convergence of computational physics, chemistry, and AI within an ICME framework offers an unprecedented opportunity to drive next-generation materials innovation and accelerate the transition from concept to commercialization.