What a difference one year makes. 2017 was my first year with solar panels, and I was very proud that I generated 96% of the electricity I used for the year (including the charging of my electric car – driving on sunshine!). Last year was not as astonishing, though still good. I generated 81% of my total home electric consumption. What changed? Consumption was up 6% in 2018, due to a much hotter summer (in Texas, AC is the big electricity hog). But even bigger, generation was down 10% due to many more cloudy days. I suspect that these two results will be the extremes, and about 90% generated solar power will be about average. I’m still happy with that.
In the middle of the picture below is Bill Arnold, a familiar face to many lithographers. He was head of lithography at AMD for many years, become the head of a technology development group (TDC) at ASML, as well as Chief Scientist (I think I have the title right) at ASML. He always gives some of the best talks at the SPIE Advanced Lithography conference, and is a senior editor at JM3. In the field of lithography, he is one of the smartest guys around.
To Bill’s right is his sister, Frances Arnold, and to his left is Donna Strickland, former president of OSA who Bill got to know while he was president of SPIE. The occasion for the fancy attire? They are all in Stockholm last month at the Nobel Prize Award Ceremony, where Frances Arnold received the Nobel Prize in Chemistry, and Donna Strickland received the Nobel in Physics.
Smart definitely runs in the Arnold family.
Rio Grande, Puerto Rico, May 29 – June 1, 2018
Last year I complained a little bit about the 3-beams conference being at a resort hotel, where I felt stuck at the resort with its overpriced food and little to do. This year the 3-beams conference was also at an isolated resort hotel, but I am not complaining! It was on the east coast of Puerto Rico, and it was magnificent. I also had a rental car, so I could explore on my own.
As I’m sure everyone knows, Hurricane Maria devastated the island of Puerto Rico on September 20, 2017 (Category 4, winds of 155 mph). The Wyndham Hotel, where the conference was to be held, was severely damaged along with most of the island. Since the hotel was one of the few places on the east coast with generators, it became a center for first responders and relief efforts. It took millions of dollars in renovations to make the hotel ready for guests again. But the real problem was power – electricity wasn’t restored to that part of the island until the end of February. As you might imagine, the conference organizers spent some tense months wondering if the conference would have to be moved at the last minute. But the hotel reopened on March 1, 2018, and was fully ready for the EIPBN conference at the end of May.
As is currently the case at every conference I go to now days, artificial intelligence/deep learning was a hot topic, bordering on buzzword. The dual availability of massive computing power and massive data sets have allowed neural networks made of numerous layers to finally become useful for some problems, though probably fewer than its proponents like to think. Heike Riel of IBM gave a very nice plenary talk reviewing deep learning’s compute requirements. Unlike conventional computing, which uses a 64 bit architecture, deep learning can live with 16 bit for training and 8 bit for inference. This lower precision requirement is coupled with requirements for low cost and low energy per computation to drive the development of new computer architectures just for this application. The result? IBM’s Watson now has speech recognition and image classification error rates that are lower than human error rates.
Geert Vandenberghe of imec reviewed their efforts at evaluating EUV (Extreme Ultraviolet) materials and explained why their metrics now always include unbiased roughness and stochastic defects.
I really enjoyed a thought-provoking talk by Vivek Goyal of Boston University on shot noise mitigation in scanned beam microscopy (such as SEM imaging). By carefully working out the stochastic components that lead to noise in an image (pixel to pixel randomness), he estimates one of the intermediate stochastic terms – the number of particles (such as electrons in an SEM) that strike the sample for a given pixel – using time-resolved sensing. For example, if an image is collected by averaging 16 frames (sixteen separate images), one can use the variation from frame to frame for each pixel in order to estimate, and then remove, some of the stochastic variation by making a better estimate of secondaries generated per incident primary.
Tatsuhiko Higashiki of Toshiba talked about the status of nanoimprint lithography (NIL) for the manufacture of Flash memory chips. Since Flash has been going vertical for several years now, there is no longer a drive for feature size reduction in lithography. The drive is for cost reduction. Toshiba is looking to NIL to achieve that cost reduction. Toshiba has one Canon FPA-1200 in its production line for evaluation. They have printed one manufacturing layer (contact holes) with NIL and achieved similar final yield compared to the current ArF lithography process.
Aaron Franklin of Duke gave an excellent talk on semiconductor scaling using nanomaterials. Device requirements for scaling power and feature size drive a need for new materials, and nanomaterials may be a key component of future scaling strategies.
Nelson Felix of IBM provided my favorite quote of the conference: an EUV source is “a massive Rube Goldberg machine.”
As always, the EIPBN conference provided me with a few nuggets of information, but more importantly some new perspectives.
For the past 6 years, while serving as editor-in-chief of the Journal of Micro/Nanolithography, MEMS, and MOEMS, I have been researching and writing articles on how to write a good scientific paper. Recently I have turned that work into a book. It has been published by SPIE, who is generously making the electronic version of the book available for free in order to widen its distribution and impact. You can find a pdf of the book here, which you are free to use and distribute as you see fit. Information on the print version (which is for sale at a modest price) can be found here: https://spie.org/
This short (100 page) book is full of practical advice that anyone who wants to write a scientific paper (beginner or experienced writer) can use.
My hat is off to the speakers who brave the 8am time slot on the last day of the conference. They are often talking to a sparse crowd as the stragglers slowly trickle in. The exception was William Miller of Qualcomm, whose excellent talk at 8am was very well attended. For us semiconductor types, it was very enlightening to hear the customer’s perspective on what goes wrong in manufacturing.
Since my papers were all done for the week, I spent the day just listening. Bruno Azeredo (ASU) gave a fascinating talk on electrochemical nanoimprinting of silicon in the newly revamped Novel Patterning Technologies conference. I also enjoyed watching my former student Meghali Chopra present results on etch optimization with software from her new company Sandbox Semiconductor. My coauthor from imec Vito Rutigliani gave a great talk, showing how different underlayers (below the resist) affect the image contrast of SEM images, changing the noise and bias in roughness measurements so that biased roughness measurements are essentially useless.
There were several talks aimed at using defect review SEMs as fast metrology tools, allowing for a dramatic increase in the amount of data that can be practically collected. This is great for looking for stochastic defects, especially defective contact holes that occur at or below the ppm level (one bad contact hole in a million). We still need to see calibration results comparing these larger pixel size/larger spot size tools to traditional CD-SEMs.
The stochastics theme continued on Thursday with afternoon talks by Peter de Schepper of Inpria and Eric Hendrickx (standing in for Peter de Bisschop) of imec looking for defects at the million-feature level. Another talk in the EUV Resist Roughness session set me off on mini-diatribe, which I will repeat here for those who didn’t watch me coopt an author’s Q&A time to give it the first time.
In trying to understand how low we might be able to push line-edge roughness, we often want to understand the separate contributions of photon shot noise and resist noise (both of which are translated by the image log-slope into the observed edge errors). Suppose the total 3-sigma roughness for our features is 3nm, and we estimate that this same resist exposed with an image that has no photon shot noise would produce 1.8 nm of roughness. Would it be appropriate to say that the resist contributes 60% of the total roughness? No, and making such a statement is quite misleading. Why? If the photon shot noise and the resist contributions to roughness are independent, then their contributions would add in quadrature, so that variance (not standard deviation) is divided up between the two sources. If we took out the 1.8 nm resist contribution, what would the roughness be? 2.4 nm, only a 20% reduction from the original 3nm, not a 60% reduction. If we insist on assigning a percent contribution to photon and resist noise, we must do it on the variance scale. In this case, photon shot noise would contribute 64% to the total variance, and the resist would contribute the other 36%. When it comes to noise, we should always focus on the biggest contributor since the quadrature addition will amplify its importance.
I stayed till the bitter end, closing out another great week at the SPIE Advanced Lithography Symposium. We didn’t get much of an update from ASML or the semiconductor companies on the recent progress of EUV lithography. Multibeam electron lithography and directed self-assembly continue to make slower than expected progress in wafer patterning. But multi-beam mask writing is doing great, enabling very good progress in nanoimprint lithography. The hot topics wax and wane from year to year, but progress is always made, thanks to the innovative work of the people at this conference. See you next year!
The theme of this year’s SPIE Advanced Lithography Symposium may be stochastics, but the buzzphrase of the year is definitely machine learning. I counted 11 papers with that phrase in the title, not to mention one short course, two full sessions on the topic, and numerous mentions in other talks trying to boost their “cool” factor. I am happy to say I did not attend any of these papers.
I’m just now learning about a technique that I believe TEL introduced last year to help with the edge placement error problem of complementary lithography (which I often misspell as “complimentary”, though this approach is anything but free). In complementary lithography long lines and spaces are patterned in one lithography/etch step (SADP, for example) and then cut up into smaller segments using a second litho/etch step. Sometimes the cuts are so challenging that two or more cut patterning steps are required to make one final pattern. This is where edge placement error (EPE, though more correctly described as edge-to-edge overlay error) comes in. Each cut patterning step will have an overlay error relative to the other cut patterning steps and relative to the lines and spaces being cut. If the cut’s overlay error perpendicular to the line is too large, it could accidentally cut a neighboring line. For this reason the cuts are made short, becoming almost contact holes. It would be easier to pattern the cuts if they were rectangular shaped (long dimension perpendicular to the lines), but then we have these potential overlay problems.
This is where the “multi-color” SAxP approach comes in. If you make every other line in your long line/space pattern out of a different material, and those materials have different etch rates, it is possible to cut one line in an etch process without worrying whether the neighboring line is damaged by a misplaced cut pattern. Alas, this technique comes with increased processing steps (and cost) to create the “colors” (the lines of different material), but it is probably worth it if it enables easier lithography of the cuts.
Wednesday was the day when life as a working stiff got in the way of pretending I was still a Gentleman Scientist. I missed a large chunk of papers in the middle of the day due to customer meetings. Time is the only truly limited resource.
For me the highlight of the day, if not the week, was the special session on shot noise in the EUV conference. 2018 is the 100-year anniversary of the seminal paper by Walter Schottky where he coined the phrase “shot effect” and described the statistical properties of a then newly discovered noise in low-current vacuum tubes due to the discrete nature of electrical change. Since shot noise has become an integral part of our community’s vocabulary recently, I suggested to Ken Goldberg and Felix Nelson that they organize this special section in honor of this anniversary. I gave a tutorial talk on the history of shot noise, then Patrick Naulleau and Robert Brainard followed with two great talks on the topic. I loved the session, especially since I got to give a talk with no technical content (my favorite kind of talk). If you missed it, remember that SPIE is now recording the talks and will post them on the SPIE digital library in the coming weeks (for those authors who have given permission).
The poster session afforded me the opportunity to engage in one of my favorite conference activities – talking with Vassilios Constantoudis. It was enlightening and educational as always.
The late nights are starting to catch up with me, and Wednesday always makes things worse because of the KLA-Tencor party. There are always too many good friends there to catch up with. Still, I think I will be able to make an 8am talk on Thursday. I hope.
Midway through the week, my first impressions have solidified into a clear view of the conference themes. I think we can call this the year of stochastics. Five years ago it was hard to get anyone to listen when you talked about stochastic effects in lithography, but today it seems to be the only thing people are talking about. What has changed? EUV lithography is close enough to reality that people can imagine, and even visualize, using EUV to make something other than test images for their SPIE paper. We can visualize making devices, devices that must yield. And it is not a pretty picture. For years we talked about progress in all the other areas of EUV lithography, with a parting comment that “EUV resists must improve” to fix the stochastic effects. But now it is clear that we must attempt to make devices with the resists we have today, and no miracles are on the horizon.
The other thing that has changed is the shift in emphasis from stochastic-induced roughness to stochastic-induced defects. It is hard for us lithographers to understand how an extra nanometer of linewidth roughness might affect our devices, but it easy for us to understand the implications of a missing contact hole.
I started my day in the Metrology conference with a session dedicated to LER/LWR measurement. Gian Lorusso introduced the “imec protocol”, his attempt to standardize the measurement of roughness (full disclosure: I was a coauthor). He began by describing an exercise imec performed where they sent a set of identical wafers to 13 companies and asked them to measure the linewidth roughness and send back the results. The answers he received varied by +/- 30%. The need for standardization in measurement is obvious. The main problem is bias in the measurements due to SEM noise (and how that bias varies with measurement conditions), so the most important recommendation is to always use unbiased measurements. He also described how the ITRS recommended measurement approach has become outdated with today’s low correlation length processes: a 2-micron line length is no longer needed. Gian’s paper is extremely important, and I hope that the imec protocol is widely followed from now on.
My first paper of the conference was in this same session, which included simulation results that were finished the night before (cutting things just a little too close!).
It may seem like I am pitching too many papers that I was a co-author on, but I am going to do it anyway. Charlotte Cutler of Dow gave an excellent talk on her use of power spectral density analysis to improve resist materials. As a resist maker, Dow regularly measures features after the lithography step (in industry jargon, ADI: after develop inspect), but has little access to after-etch results since those depend heavily on each customer’s etch process. But when it comes to roughness, it is the after-etch performance that matters. So, Charlotte needs to correlate her ADI measurements to after-etch results. Traditionally, that has meant looking at the ADI 3-sigma roughness with the assumption that a low ADI 3-sigma roughness would translate into a low after-etch 3-sigma roughness. Alas, it often does not. To explore why, she created two matrices of resist formulations and measured the power spectral densities of the roughness of each of them. She found that while after-develop 3-sigma roughness was not a good predictor of after-etch 3-sigma roughness, the after-develop unbiased PSD(0) was. I predicted last year that this approach would work (in my EUVL Symposium paper), and it is very gratifying to see this prediction proved out experimentally.
There seem to be fewer ASML papers at the conference this year (is it my imagination?), but I did catch Jan von Schoot talking about their plans for a high-NA EUV scanner. Every time I see drawing of this tool, or pictures of the lens manufacturing facility under construction at Zeiss, I am amazed at how massive and complicated this tool will be. Perhaps it is designed to make the NXE:3400 seem only moderately complex.
I walked around the poster session (much smaller than in years past), and saw quite a few good ones. The conference is now half-way over, but I won’t say it is a downhill ride from here. Wednesday will be exciting!
The plenary session Monday morning began with awards. We recognized four new SPIE fellows from our community: Jason Cain, Alexander Starikov, Peter Trefonas, and Reinhard Voekel. Congratulations! We had no presentation of the SPIE Frits Zernike Award for Microlithography this year, for a very sad reason. Just before the award committee was to vote on the winner, one of the nominees for the award, Nick Cobb, died. (I’m on that committee.) So instead of making a Frits Zernike award this year, we decided to honor Nick with a special mention and the establishment of the Nick Cobb Memorial Scholarship (thanks to the generation contribution of Mentor Graphics and a matching contribution by SPIE). It was very touching to see Nick’s family there for this special recognition.
The three plenary talks were all interesting, and each as different from the other as they could be. Yan Borodovsky came out of retirement to discuss his views on the biggest challenges still facing EUV lithography as it nears high volume manufacturing (HVM). I liked this quote about EUV: “It’s not about if, or even when, but how well?” Yan focused on the quality problems of EUV in two major areas. First, the EUV mask is a complex phase shifting mask with unintended phase shifts. Controlling and managing these phase shifts is critical and difficult. Second, stochastic defects “must be eliminated for EUV HVM” according to Yan. How to do this in the short term is unclear, but since these stochastic failures increase dramatically as feature size decreases, the long-term solution is even more problematic. Yan suggested that the only practical approach is to live with them by moving our logic computing devices to some type of fault-tolerant architecture, such a neuromorphic computing or fine-grained cores (thousands of small cores, so that if one or a few go bad you still have a valuable chip). I’m not sure how long it will take to move away from the standard Von Neumann computing architecture, but it won’t happen in the next few years, that is sure.
Dan Hutcheson gave his typically upbeat assessment of the future of Moore’s Law – somehow the community will overcome the technical hurdles because the economic incentives to do so as so compelling. But of course, this will not be true forever. Dan’s opinion was that trying to predict when the end might come would be self-defeating by reducing one’s motivation to forestall that end. I don’t agree, but I understand his point.
While Dan’s talk gave a 40,000-foot view of the economics of lithography, Stephen Hsu’s plenary talk dove into the gory details of OPC and RET (resolution enhancement technology) from ASML’s perspective. The many innovative technologies developed by ASML to improve NILS (normalized image log-slope, a measure of aerial image quality) will result in reduction in stochastic problems, but it is clear that this will not be enough. Thus, Stephen reminded us that “more resist improvement is needed for EUV.” To that I counter that more improvement in the EUV source is in fact what is needed, and no call to improve resists should be unaccompanied by a call to improve source power.
George Gomba gave the first keynote address of the EUV conference and he made the same mistake as Stephen Hsu: admitting that EUV photon shot noise was a big problem and then calling on resist improvements as the required solution. In then end, however, he accurately described the three major unsolved problems in EUV as stochastic failures, mask defectivity, and meeting the source power roadmap going forward.
Following George was the second keynote by Chris Ober of Cornell, talking about his group’s approach to developing EUV resists. Unfortunately, in a parallel conference Geert Vandenberghe of imec was also giving a review of the status of EUV resists. The lack of coordination between parallel sessions in different conferences is a perennial complaint of mine.
In the afternoon I attended the joint EUV and resist session. I have to admit a great thrill at seeing Fractilia’s roughness measurement product, MetroLER, used so effectively in nearly all of the papers in that session. TEL and imec gave four of the five talks in the session, and both are users of MetroLER. Thus, my view of those papers is quite biased, unlike their measurements, which were quite unbiased. (Sorry, LER measurement nerd humor).
The 6pm conference welcome reception was very nice – I liked it being held in an open area of the conventional hall floor rather than in a room, and I like the beer that was available. After many good conversations at several different hospitality suites, it was back to my room to prepare for my first talk, early the next morning.
Sunday is, for most attendees of the Advanced Lithography Symposium, a travel day to get to San Jose, or just a normal Sunday for those who are local. But it is technically the Symposium’s first day. For me it was a 14 hour day, beginning with teaching an all-day short course (with John Petersen), giving two talks at different company-sponsored workshops, and ending with a planning dinner for next year’s conference. Let’s just say I’m all warmed up and ready for the papers to begin!
2018 will be a very important year in the development of EUV lithography towards high-volume manufacturing (HVM). (I’m pretty sure I say this every year.) ASML now says that it’s NXE:3400 will be the tool that is capable of HVM, and the first 3400 was shipped and installed at Samsung the end of last year. Will we see some early results from this tool? I’m not holding my breath.
Attendance this year will be similar to that of the last 10 years, in the 2000-2200 range. But abstract submittals were down 11% from last year. That disconnect (still strong attendance but reduced author participation) is probably a result of the continuing industry consolidation. In particular, the semiconductor makers are shrinking to a “big three” plus a few others. But the real problem is that the big three are not pulling their weight as authors. Intel is giving exactly zero papers at the symposium this year. Zero. TSMC is the primary author on three papers. Samsung is primary author on 10 papers (getting more respectable). Filling the void left by the big three are GlobalFoundries (with nearly 40 papers) and imec (I didn’t even try to count). It’s time for Intel and TSMC to step up and become more enlightened: contributing to the advancement of the lithography community as a whole is good for the whole industry, including them.
OK, I’ve had my first rant. I guess that means the conference has officially begun.
Just over one year ago I launched, with Ed Charrier, our new company, Fractilia. After inventing a new concept for detecting edges in a noisy SEM image, we released last July the first version of our flagship product, MetroLER, for measuring the roughness of line/space patterns. Last week we released a second version of MetroLER, including the measurement of contact holes. It has been a very busy year. Alas, I have had the give up my title as Gentleman Scientist – I have a real job now!
But old habits die hard, and the mindset of the Gentleman Scientist is not easily revoked. As we approach this years’ SPIE Advanced Lithography Symposium, I will attempt to wear two hats (and titles). As CTO of a start-up, I will be meeting with customers, giving papers showing results from our product, and evangelizing about the right way to measure pattern roughness and stochastic effects in lithography. But as a lingering Gentleman Scientist I will also try to appraise the state of lithography in our industry. I’ll watch a small subset of the many presentations given over the next week and let you know in these posts what I think. I’ll see old friends, have interesting hallway conversations, and drink too much every night. As always, I will learn a tremendous amount and have a great time doing it.
I’ll also experience a fair amount of cognitive dissonance as this skeptic of EUV lithography works hard to make EUV lithography a success. If EUV lithography cannot attain long-term commercial viability I don’t want it to be due to poor pattern roughness measurement! Like everyone else, I’m looking forward to hearing about all the latest developments in EUV, but also in the many other subjects that bring us lithographers together.
So look out San Jose, here come the lithographers!