| Abstract Scope |
The convergence of enormous data, cloud services, supercomputers, robotic laboratories, and advanced simulation and machine learning promises unprecedented opportunities in materials design and discovery. However, harnessing these capabilities to tackle societal challenges, from energy to economic growth, demands nuanced orchestration beyond current norms. I propose that intelligent agents, working in tandem with human expertise, are pivotal for this quantum leap in materials science. These agents will not only automate routine tasks but also bring new capabilities: from synthesizing and interpreting vast literature to designing and managing complex experimental setups. Illustrating this, I will share insights from pioneering work at Argonne National Laboratory and other leading institutions. Finally, I will discuss emerging directions and the potential for new collaborations to shape the future of materials science. |