See how thermal comfort, ventilation, and air quality metrics are normalized into a single comp
See how normalized sensor metrics for thermal comfort, ventilation, and air quality merge into
See how a learning model trained on water-repellent test data predicts agent-base material eval
Two AI models jointly learn composition and structure features, improving battery material analysis when structural data is limited.
Database filtering of organic electrolyte candidates cuts screening time while finding substances that deactivate oxygen radicals and extend battery life.
Database filtering of organic substances by electron affinity and lithium-salt coordination cuts electrolyte screening effort while targeting SEI-forming candidates.
A trained model estimates electrolyte diffusion from voltage, capacity, and temperature data to assess secondary battery remaining life without disassembly.