7 research outputs found
Intensification of production in Medieval Islamic Jordan and its ecological impact: Towns of the Anthropocene
Risk of Varices Bleeding after Spleen-Preserving Distal Pancreatectomy with Excision of Splenic Artery and Vein
Adjusting the Image – Processes of Hybridization in Visual Culture: A Perspective from Early Christian and Byzantine Archaeology
Enhancing responsibility in financial regulation – critically examining the future of public–private governance: part 1
Accelerating the discovery of materials for clean energy in the era of smart automation
The discovery and development of novel materials in the field of energy are essential to accelerate the transition to a low-carbon economy. Bringing recent technological innovations in automation, robotics and computer science together with current approaches in chemistry, materials synthesis and characterization will act as a catalyst for revolutionizing traditional research and development in both industry and academia. This Perspective provides a vision for an integrated artificial intelligence approach towards autonomous materials discovery, which, in our opinion, will emerge within the next 5 to 10 years. The approach we discuss requires the integration of the following tools, which have already seen substantial development to date: high-throughput virtual screening, automated synthesis planning, automated laboratories and machine learning algorithms. In addition to reducing the time to deployment of new materials by an order of magnitude, this integrated approach is expected to lower the cost associated with the initial discovery. Thus, the price of the final products (for example, solar panels, batteries and electric vehicles) will also decrease. This in turn will enable industries and governments to meet more ambitious targets in terms of reducing greenhouse gas emissions at a faster pace