When we talk about AI, we often think of chatty robots or models that can “paint.” However, behind these visible interfaces, a more substantial transformation is taking shape: AI is turning the “discovery of materials” into a searchable, designable, and verifiable engineering process, directly targeting some of humanity’s most challenging issues such as clean energy, … Read more
The discovery of new materials follows the iterative process of “Design-Manufacture-Test-Analyze” (DMTA). Artificial intelligence has achieved intelligent design of molecular structures in the field of material discovery, akin to conducting an experiment in the digital world, which we refer to as “dry experiments.” However, to bring these digital designs to fruition and continuously optimize them, … Read more
Original Author: Mark Peplow Google DeepMind’s tools have predicted nearly 400,000 stable substances, while another automated system is learning to synthesize them in the laboratory. A-Lab uses AI-guided robots to mix and heat ingredients to synthesize new materials. Image credit: Marilyn Sargent/Berkeley Lab An automated system that combines robots and artificial intelligence (AI) to create … Read more
First Author: Zhenpeng YaoCorresponding Authors: Zhenpeng Yao, Yanwei Lum, Alán Aspuru-Guzik, Edward H. Sargent, Zhi Wei SehAffiliations: Shanghai Jiao Tong University, University of Toronto, A*STAR (Agency for Science, Technology and Research), Singapore【Research Highlights】Currently, the transition from fossil fuels to renewable energy has become a global challenge. To effectively collect, store, convert, and manage renewable energy, … Read more