IT之家 · ITHome
CATL uses AI to screen compounds, but Zeng Yuqun says capabilities still fall short
At the 2026 World Laureates Forum, CATL founder Zeng Yuqun outlined the company’s use of AI in energy research. He cited over 600 TB of basic research data and more than one trillion test records, saying AI can quickly screen a thousand compounds and identify seven promising materials. He said current AI capabilities remain insufficient, calling for more scientists and more advanced models.
What to know
- 01
The basic research data cited exceeded 600 TB, alongside more than one trillion test records.
- 02
AI can screen a thousand compounds in a short time and identify seven promising materials.
Why it matters
The presentation highlights AI’s use in energy-materials research while acknowledging the limitations of its current capabilities.
AI-assisted brief. Read the source for full details. Editorial & sourcing policy
