AI for Materials Design: Unlocking Microstructural Data
From high-power batteries to extra-strong construction materials to slow-release drugs, advanced materials underpin a vast array of the things we...
data
AI for Materials Design: Unlocking Microstructural Data
From high-power batteries to extra-strong construction materials to slow-release drugs, advanced materials underpin a vast array of the things we...
AI System Harnesses Diverse Scientific Data and Conducts Experiments to
In the rapidly evolving landscape of materials science, the pursuit of accelerated discovery and optimization of new materials has encountered...
Turning materials data into AI-powered lab assistants
A schematic showing how scientific literature is mined using ChemDataExtractor to build materials databases. These databases are then employed to...
Understanding our data foraging instincts can help researchers overcome resistance to statistical tools
Statistics has a people problem. And those people are scientists. Despite all the success that statistical design of experiments (DOE)...
Accelerating materials design with high-throughput experiments and data science
Advances in machine learning and computational modeling have revolutionized materials design by enabling researchers to predict, optimize, and discover advanced...
.jpg "IFW Dresden selects Agnitron Agilis 100 MOCVD platform for precursor chemistry and ultra-wide-bandgap materials development")
