My life & career
New chip materials could make future electronics more efficient, but scaling is difficult.
THE YOTTABIT ERA / WHEN BREAKTHROUGHS COLLIDE
What if new materials helped us make better semiconductors?
Imagine discovering a material that makes future chips cooler, faster or cheaper—and being able to test it virtually before expensive fabrication.
HERE'S WHY THIS IS SUCH A BIG DEAL
Semiconductor progress might increasingly depend on materials breakthroughs as well as new chip designs.
THE STORY IN PLAIN ENGLISH
The future of computer chips depends not only on making familiar parts smaller, but on discovering materials that behave in useful new ways. Powerful models can help researchers search for promising substances and predict how they might interact with advanced manufacturing processes. A successful material could lead to more efficient electronics or make a difficult design possible. But the path from a laboratory candidate to a reliable component used in millions of products is long. Manufacturing yield, cost and durability are as important as an exciting scientific prediction.
THE YOTTABIT PERSPECTIVE
What does it mean to me?
Big change is fascinating. Its implications are what matter.
My business
Novel semiconductor materials must pass fabrication yield and reliability tests.
My industry
Foundries, electronics firms and materials suppliers depend on complex joint innovation.
FROM JIM CARROLL’S WORK
Jim’s semiconductor presentations focus on the collision of design acceleration and physical fabrication constraints.
Meet the futurist behind YottaBit ↗WHAT COULD I DO MONDAY MORNING?
Which process qualification is the true bottleneck for a promising semiconductor material?
CURIOUS ABOUT THE SCIENCE?The story is exciting.
The story is exciting.
The evidence still matters.
Here's what researchers have demonstrated, what's still ahead, and where to check the source. It should deepen the story—not get in the way of understanding it.
Behind the breakthrough THE EVIDENCE +
What's happening today: GNoME and TSMC demonstrate separate capacities.
The next challenge: Fabrication yield and qualification can take years regardless of how quickly a model suggests a material.
How the technologies connect: Material discovery + lithography + physical simulation.
Explore the original research
Google DeepMind — GNoME materials discovery; Nov 2023 ↗