From Mining to Manufacturing: Scientific Challenges and Opportunities behind Battery Production
Not Available
Xiao, Jie (ORCID:0000000255205439)↗
Engineering topics
Sun, Shijing
Publications and source records attributed to Sun, Shijing.
How the AI-assisted discovery and synthesis of a ternary oxide highlights capability gaps in materials science
Exploratory synthesis has been the main generator of new inorganic materials for decades. AI-assisted discovery is possible, but human-AI collaboration should be refined according to their respective strengths.
36 MATERIALS SCIENCE↗
What is missing in autonomous discovery: open challenges for the community
Self-driving labs (SDLs) leverage combinations of artificial intelligence, automation, and advanced computing to accelerate scientific discovery.
36 MATERIALS SCIENCE↗
A framework for materials informatics education through workshops
The burgeoning field of materials informatics necessitates a focus on educating the next generation of materials scientists in the concepts of data science, artificial intelligence (AI), and machine learning (ML). In addition to incorporating these topics in undergraduate and graduate curricula, regular hands-on workshops present the most effective medium to initiate researchers to informatics and have them start applying the best AI/ML tools to their own research. With the help of the Materials Research Society (MRS), members of the MRS AI Staging Committee, and a dedicated team of instructors, we successfully conducted workshops covering the essential concepts of AI/ML as applied to materials data, at both the Spring and Fall Meetings in 2022, with plans to make this a regular feature in future meetings. Here, in this article, we discuss the importance of materials informatics education via the lens of these workshops, including details such as learning and implementing specific algorithms, the crucial nuts and bolts of ML, and using competitions to increase interest and participation.
36 MATERIALS SCIENCE↗
An open-source environmental chamber for materials-stability testing using an optical proxy
Designs for an open source environmental chamber for stability testing of metal halide perovskites and other materials using optical degradation fingerprints. The design suite can accommodate bulk samples, thin films or full photovoltaic devices.
Keesey, Rodolfo↗