right now extreme ultraviolet lithography is working boundaries are using dozens of these NUMBER_TOKEN million dollar machines to create amazing patterns nanometers wide the industry labored for decades on this intricate technology but there is no time to rest asml is already looking ahead at the next generation of the uv high nauv the sent a million dollar machine that will be better than regular euv in this video we're going to do a deep dive into what's next in the world of euv asml's follow-up to the most complicated nanolithography system ever delivered but first i want to talk about the asian nomentry patreon if you like what this channel does you can support the work by joining the early access tier early access members get to see new videos and selective references for them before they are released to the public so head on over to the patreon page and take a look i deeply appreciate anything you'll be able to sign up for thank you and on with the show today euv technically works and of course we should not ignore just how impressive that is however at a commercial level there remain substantial challenges the biggest problem has to do with throughput how many wafers a single machine is capable producing over a period of time right now tsmc's leading edge nNUMBER_TOKEN process has about NUMBER_TOKEN to NUMBER_TOKEN uv layers uv machines are slower than older machines so if you want to be able to push out as many wafers as before you need to have more machines so in NUMBER_TOKEN tsmc opened up the checkbook and bought as many euv machines has asml could make by the second half of NUMBER_TOKEN they had NUMBER_TOKEN percent of the install base it worked but each nNUMBER_TOKEN wafer is estimated by industry analysts to cost as much as a car nearly NUMBER_TOKEN thousand dollars a theoretical eighty percent price jump to get that cost down you need to put out more wafers to put out more wafers you need faster throughput now on to tsmc's next full step node and three that right now uses more of those slow euv layers about NUMBER_TOKEN to NUMBER_TOKEN as compared to nNUMBER_TOKENs NUMBER_TOKEN to NUMBER_TOKEN. there is a risk for throughput to decline even further worsening foundry's ability to produce enough wafers and reach the necessary economies of scale furthermore all things being equal tsmc is likely going to have to resort to a technique called multiple patterning for nNUMBER_TOKEN this is where you use another exposure to improve the feature density imagine you got a canvas of dough and you want to cut out some noodles about NUMBER_TOKEN nanometers thick this is so that you can make a nano bowl of taiwanese beef noodle soup for your nano sized buddies but alas your nano size noodle cutter mold thing has its metal mold teeth things NUMBER_TOKEN nanometers apart you can really tell i spent a lot of time in the kitchen anyway so how can you cut a NUMBER_TOKEN nanometer wide noodle it is possible if you are extremely careful if you position the nano noodle cutter mold thing exactly right you can make a second pass on the dough and get your NUMBER_TOKEN nanometer wide as you might expect this doubles or even triples the amount of time it takes to process a single layer multi-patterning makes euv already pretty slow decidedly uneconomical
START_SELFPROMO_TOKEN but first i want to talk about the asian nomentry patreon if you like what this channel does you can support the work by joining the early access tier early access members get to see new videos and selective references for them before they are released to the public so head on over to the patreon page and take a look i deeply appreciate anything you'll be able to sign up for thank you and on with the show END_SELFPROMO_TOKEN