IBM’s chip researchers have been in anything but a vacuum lately.
They have been busy developing a special polymer that can self-assemble, putting an insulator around wires at the nano-scale level and allowing the trend for smaller/faster/cooler chips to continue.
IBM (Quote) modeled the concept after self-assembly seen in nature, such as the way a seashell, snowflakes, or tooth enamel form. The technique, called “airgaps” by IBM scientists, isn’t an entirely accurate term, as the gaps are actually a vacuum with no air.
Airgaps are made by coating a silicon wafer with a layer of a special polymer that, when heated, forms a honeycomb of trillions of uniform tiny holes just 20 nanometers across, with a honeycomb wall 20 nanometers across. The pattern is then used to create the copper wiring on top of a chip and the insulating gaps that let electricity flow smoothly.
The technique causes a vacuum of air to form between the copper wires in a computer chip. This is important because as the wires drop in nanometers, they lose electricity.
Dealing with power leakage has become a growing concern for chip makers as they make their CPUs increasingly smaller. Music aficionados who remember the days of vinyl know there was only so much room to put on an album side, because if you tried to put more music on the record, the grooves started to bleed together. It’s a similar situation here.
“It’s like pouring water down a pipe,” said Dave Lammers, director of WeSRCH.com, a research site run by VLSI Research. “Pour it down a one-inch pipe, that’s OK. When you try to pour the same amount down a straw, that gets tough.”
As the copper wires shrink, there’s more resistance as the electronics move down them. So as the wires shrink, they get slower, he explained. “The airgap allows them to keep making the wires smaller without the charge leaking from one wire to the adjacent wire. Airgaps put a better insulation, to a higher degree, between the metal wires.”
Dan Edelstein, IBM fellow and chief scientist at IBM’s research division, told internetnews.com that “this is going to keep enabling us to scale for several generations beyond.” Copper wire was reaching a limit of how small it could be made without significant leakage.
The airgaps reduce the energy needed to put signals on these wires, so the whole chip can run cooler or faster depending on the tradeoff you want to take,” said Edelstein. Circuits can speed up by as much as 35 percent, based on the drop in capacitance.
That drop isn’t across the board, however. It only affects circuits heavily dominated by the wiring delay, and some circuits have short wires and won’t really benefit. Edelstein said he could see a clock speed increase of up to 10 percent or a drop in heat by up to 15 percent from this new process.
Lammers said that’s all a good thing for processor manufacturing. “You get all the benefits when you shrink the logic device from this. You can add more functions and have less power consumption and a lower cost to manufacture. All the good things that happen with processors now will keep on going,” he said.
This article was first published on InternetNews.com. To read the full article, click here.
Ethics and Artificial Intelligence: Driving Greater Equality
FEATURE | By James Maguire,
December 16, 2020
AI vs. Machine Learning vs. Deep Learning
FEATURE | By Cynthia Harvey,
December 11, 2020
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2021
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.