My life & career
Potential advances in batteries, materials and electronics could ultimately reshape everyday products—but these are still candidates.
THE YOTTABIT SCALE INDEX / Automated scientific discovery
2.2M
An AI system imagined 2.2 million crystal structures.
A model proposed millions of possible inorganic crystals for scientists to investigate.
GNoME · 2023
THE YOTTABIT PERSPECTIVE
What does it mean to me?
Big change is fascinating. Its implications are what matter.
My business
Product companies can follow materials discovery for new performance or cost possibilities without assuming laboratory readiness.
My industry
Energy storage, electronics and manufacturing may benefit if some candidates prove useful and scalable.
FROM JIM CARROLL’S WORK
The connection to Jim’s work is the gap between technological possibility and the capacity of industry to adopt it.
Meet the futurist behind YottaBit ↗WHAT COULD I DO MONDAY MORNING?
Pick one desired material property. What test would show whether a promising computational candidate actually delivers it?
THE EVIDENCE BEHIND THE STORY + METHODOLOGY & SOURCES
What the number really measures
Predicted new crystal structures, expressed as count.
The research foundation records: 2.2 million computational predictions reported Nov 2023.
Where the claim has limits
Not synthesised materials
Comparisons and historical rates must be independently checked against definitions and original measurements before an audited chart is published.