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What’s next for smarter, more connected electronics manufacturing - Part 2The fast-maturing infrastructure now enabling applications for big data and artificial intelligence means disruptive change not just at individual companies but also in data connections among companies across the microelectronics manufacturing value chain. SEMI checked in with some leading players on the changes they see coming in the next several years for this article series. The trade group is expanding its programming on smart manufacturing to address these industry-wide developments at SEMICON West, July 10-12 in San Francisco.“The ramp of EUV, and the smaller geometries and smaller process margins, will drive an exponential increase in the amount of metrology data to manage,” says Neal Callan, ASML vice president, Silicon Valley. Callan notes that moving to multibeam e-beam inspection will increase data volume from megabytes per second to gigabytes per second and from thousands of data points to millions of data points. “The process is so tight and the margin so small that stochastic variation, or noise, becomes more dominant – at least it’s noise until we can learn to understand and control it. And understanding and controlling this variation will be key to delivering 5nm patterning,” he says.Single-beam e-beam inspection is already driving large increases in data as engineers extend the slow technology to broad, high-speed defect metrology applications by more intelligently instructing the system where to look for problems. Callan says ASML is now using the scanner data on wafer focus, alignment and leveling. The company is also using the computational lithography model from the design to identify the smallest process windows in the pattern that are most likely to see problems. The model then quantifies the number and significance of those instances.“The collection of all this diverse data means that tools will need to be plug-and-play so all tool data is instantly available to all systems and software,” says Doug Suerich, PEER Group product evangelist. “We need tools that can be discovered automatically by the network so it can start slurping up data immediately. The adoption of the Interface A (EDA) standard is accelerating and fabs are starting to ask for it. The proliferation of sensors also needs to self-discover. If you are going to add thousands of new sensors into a facility, you can’t afford a time-consuming integration process.”“We are now seeing that engineers are greedy for more data – if they can get the data, it’s becoming a need-to-have,” adds Tom Ho, BISTel America president. “Getting more data from more sensors, from the sensors on the tool that are not being fully utilized, and from untapped data sources like vibration is another big coming opportunity.” Process complexity drives demand for feed-forward between silos with computational models ASML co-optimizes its scanner process with etch and reticle process steps. Source: ASML In addition to the drive for trace-back of data, the increasing complexity of interrelated processes is also driving demand for feed-forward of data. “Feed-forward is becoming more important,” notes Ho. He points to the example of 3D NAND features, now getting so deep that identifying the layer being measured is a challenge unless the signal at the step before can be recognized. “We need partnerships with our peers to understand how to take advantage of the sensors they use, integrate them with our data, and then feed-forward corrections to the other systems,” concurs Callan. “To drive the best CD uniformity and overlay, we need to co-optimize litho and etch,” agrees Henk Niesing, ASML director of product management. He notes that the company is working with etcher makers to measure the overlay and CD, decompose the finger prints, and then use models to steer automated control that best adjusts both the scanner and the etcher. ASML is also working with Zeiss on co-optimization between the scanner and the reticle to make even higher-order corrections by locally modifying the reticle.These higher-order corrections, applied on each exposed field, drive the need for even more data, and at higher speed but without higher cost, notes Jan Mulkens, ASML senior fellow. These corrections increase demand for computational metrology, which combines various metrology sources with physics and deep learning models trained on real data to predict and control process results in real time. “We’re working on computational metrology to ideally use all the knobs we have in the fab,” he says. So far this effort has largely involved linking data between two companies. More consistent data formats would enable data exchange to be extended to more companies. “The software versions also need to be managed for upgrades so they still match after one party updates the system on its tool,” notes Niesing. Speakers on these issues of smart manufacturing and data handling at SEMICON West include Active Layer Parametrics, Applied Materials, Applied Research Photonics, ASML, Cimetrix, Coventor, ECI Technologies, Edwards Vacuum, Final Phase Systems, GE Digital, Infineon, Jabil, Lam Research, Osaro, Otosense, PEER Group, Rockwell Automation, Rudolph Technologies, Schneider Electric, Seagate, Seimens, Stanford University, TEL, TIBCO Software. See semiconwest.org.What’s next for smarter, more connected electronics manufacturing - Part 1What’s next for smarter, more connected electronics manufacturing - Part 3Paul Doe, SEMI
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What’s next for smarter, more connected electronics manufacturing - Part 1The fast-maturing infrastructure now enabling applications for big data and artificial intelligence means disruptive change not just at individual companies but also in data connections among companies across the microelectronics manufacturing value chain. SEMI expands its smart manufacturing program with a Smart Manufacturing Pavilion with displays and three full days of talks to address these industry-wide developments at SEMICON West, July 10-12 in San Francisco.Autonomous autos’ demand for zero-defect systems and 100 percent traceability back to the manufacturing data for each die is driving a push to traceability across the chip sector. “Far more chips are being used by the automotive sector, and its very different requirements are driving demand for traceability,” says Tom Ho, president of BISTel America. “Our chipmaker customers are looking for traceability solutions and the trend is the same in backend packaging and assembly – automotive applications are driving the sector to traceability.”Traceability is also driven by the growth of systems in a package as fabless chipmakers look to connect back to the packaging companies’ fault analysis labs and die interconnect history to diagnose and fix the cases where known-good die are failing in the system, adds Mike Plisinski, CEO of Rudolph Technologies. Plisinski adds that makers of consumer products like phones that can also see harsh conditions are demanding higher quality and traceability as well. The electronic manufacturing services (EMS) sector also must establish an architecture for traceability to collect critical manufacturing-related data and to interface with OSATs and semiconductor fabs. The reason is that EMS companies are adding traditional OSAT processes such as assembly of products with bare die and complex optics modules requiring clean rooms. “A unified sand-to-smart-phone smart manufacturing roadmap should be established,” says Dan Gamota, vice president of Engineering and Technology Services at Jabil. “We need to identify protocols for manufacturing data communications that can be adopted across the supply chain.”To enable smart manufacturing, vendors need to collaborate on getting their production equipment to interoperate and support factory analytics and data management systems. Source: SEMI One big challenge, of course, is how to format this diverse data so it can be linked and used by various supply chain stakeholders. “Smart data needs to be contextual and it needs data standards across the supply chain so it’s easy to link from the front end to the back end, follow common lot IDs front and back end, and have a way to map streaming data from sensors to a discrete lot ID,” notes Ho. New approaches to metrology, analysis and test that increasingly exploit machine learning on simulations will also be needed to help predict which die and connections that test well now may fail in the future as conditions change.Another issue is how to securely share the needed data across companies without jeopardizing IP. “On the equipment side we collect data across customers on how the tool is running to improve the equipment,” notes Neal Callan, ASML VP Silicon Valley. “Next we need to integrate performance and reliability data that today is not as well shared.”The other big hurdle is how to pay for data sharing. “The challenge is that the final manufacturers reap the benefit of traceability, but since they expect their suppliers to deliver good die, they don’t want to pay more for it,” notes Plisinski. He suggests that over the next two to three years, traceability and predictive fault prevention will become the norm as the automotive sector is compelled to invest in it to assure safety. Meanwhile, fabless companies will face so much complexity in integrating different die from different suppliers in SiP that they will no longer be able to afford to simply use the cheapest supplier, potentially driving a fundamental shift in relations and division of labor among fabless chipmakers, OSATs and fabs. Standards extend across supply chainSEMI member committees are collaborating to build the infrastructure to enable these developments. Standards committees are updating standards for higher bandwidth data exchange and extending semiconductor-like vertical and two-way horizontal equipment communication standards to flow shops to enable assembly players to optimize and trace back results across players. The SMT/PCBA community is integrating its smart manufacturing work into SEMI standards, and the SEMI A1 standard was a key reference document in the development of the Japan Robotics Association’s Equipment Link Protocol.Speakers addressing these issues at SEMICON West include Active Layer Parametrics, Applied Materials, Applied Research Photonics, ASML, Bosch Rexroth, Cimetrix, Coventor, ECI Technologies, Edwards Vacuum, Final Phase Systems, GE Digital, Infineon, Jabil, Lam Research, Osaro, Otosense, PEER Group, Qualcomm, Rockwell Automation, Rudolph Technologies, Schneider Electric, Seagate, Siemens, Stanford University, TEL, TIBCO Software. See semiconwest.org.What’s next for smarter, more connected electronics manufacturing - Part 2What’s next for smarter, more connected electronics manufacturing - Part 3Paula Doe, SEMI
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This year’s Advanced Lithography TechXPOT at SEMICON West will explore the progress on extreme ultra-violet lithography (EUVL) and its economic viability for high-volume manufacturing (HVM), as well as other lithography solutions that can address the march to 5nm and onward to 3nm. Several session speakers offered their insights into the readiness of EUVL for 5nm and how other lithography solutions will enable 3nm. See the full list of speakers and program agenda at http://www.semiconwest.org/programs-catalog/lithography-5nm-and-below.Diverging viewpoints on EUVL readiness for 5nmMike Lercel, Director of Strategic Marketing at ASMLASML expects its first customer to start volume manufacturing with EUV at the 7nm logic node and the mid-10nm DRAM node in the 2018/2019 timeframe. “EUV will replace the most difficult layers that require multiple patterning, and many layers will continue to be allocated to immersion tools for the foreseeable future,” said Lercel. “For the 5nm logic node, more layers are expected to migrate to EUV.”Three ASML customers have early-access versions of the next-generation TWINSCAN NXT:2000i for the development of advanced logic and DRAM nodes. “This system delivers 2.0nm cross-matched on-product overlay, achieved through several hardware advancements,” noted Lercel. “It is also significant because this mix-and-match use with EUV features a significantly different hardware platform.” TWINSCAN NXT:2000i features a new alignment sensor and improved wafer table flatness, endurance, and clamping mechanism to enhance matching to EUV.ASML has achieved good industrialization progress of its pellicle, with tests confirming that pellicles can withstand 245W source power and an offline power lifetime test indicating 400W capability. Compared to the 7nm logic node, the requirements for EUV masks will become tighter at 5nm, but Lercel noted that ASML sees good progress with the industry infrastructure to support 5nm in areas such as reducing mask blank defects. “We will continue to improve pellicle transmission for enhanced throughput, but there are no fundamental changes in pellicle requirements for 5-3nm logic nodes. We see no infrastructure showstoppers for the introduction of EUVL at the 5nm node.”Stephen Renwick, Director of Imaging Physics at Nikon Research Corporation of AmericaRenwick said that the 7nm logic node is expected to be fabbed mostly using 193i lithography. “EUV will struggle to be ready for 5nm, limited by yield issues caused by stochastic effects in the resist,” said Renwick. “Ready or not, though, it will be used.” Renwick suggests that introducing multiple-patterning with EUV may be needed but would increase costs. “193i lithography will continue to be used with quadruple-patterning and in combination with other techniques – there is no single solution.”Figure 1. Normalized cost/layer vs. lithography method. SOURCE: Nikon Research Corporation of America When choosing between immersion lithography and EUV for different customer segments at 5nm, Renwick noted that the cost depends on the layer. “Some time ago, we calculated that the costs of either 193i triple-patterning or 193i SADP with two cuts were roughly equal to single-patterning with EUV,” explained Renwick (Figure 1). “That agreed with chipmakers' public estimates and meant that the choice of lithography method depended more on the performance tradeoffs involved, such as 193i's better line-edge roughness. At the 5nm node, we are probably faced with quad-patterning from 193i, double-patterning from existing EUV tools, or single-patterning from as-yet undelivered high-numerical aperture (NA) EUV tools.” Renwick believes that the competition between low-NA EUV double-patterning and 193i quad-patterning will be similar to the current situation (i.e., comparison of 193i triple-patterning or 193i SADP with two cuts vs. single-patterning with EUV), but for high-NA EUV tools he believes it's too early to say.Other challenges Renwick sees on the horizon for EUVL at 5nm are stochastic effects in EUV resists. “They cause yield problems on contact arrays and unacceptable line-edge roughness on line/space patterns,” said Renwick. “It's unlikely that these effects will go away without increasing the litho dose, which will further challenge throughput performance.” He also questions whether EUV pellicles, though under development, will be “ready for prime time.”Harry Levinson, Sr. Director of Strategic Lithography Technology and Sr. Fellow at GLOBALFOUNDRIESLevinson said additional fundamental engineering work is needed to ready EUV lithography for 5nm. “Among the top problems are stochastics-induced resist defects, which increase significantly as dimensions shrink below those for 7nm,” explained Levinson (Figure 2). “Higher exposure doses will be required to address these issues related to stochastics at 5nm, which will require higher source output” (than 7nm).Levinson said there will be greater motivation to use EUVL at the 5nm node vs. at 7nm to offset the large number of exposures associated with 193nm immersion multiple-patterning solutions. “The primary application of EUV lithography at 7nm will be for contact, via and cut layers,” Levinson noted. “It will be important to enable EUVL for metal masks at the 5nm node, which increases the need for an ample supply of very low defect EUV mask blanks.” Levinson added that the 7nm node is already stressing defect inspection capabilities, and no actinic defect inspection system is yet available for patterned masks. “This situation becomes more problematic with widespread application of EUVL to metal layers.” Mask development for 5nmChristopher C. Progler, CTO Strategic Planning at PhotronicsProgler said that the basic infrastructure for delivering EUV masks is available, especially for dark field layers and near in nodes. “The interconnected or more open frame patterns will need refinements to the processes and two to three nodes out will need certain new infrastructure,” said Progler. Overall, the main challenges for initial insertion are about creating a cost-effective and rapid-turn EUV mask process, he said. “The industry can certainly deliver EUV masks in some form. It is more a question of doing it efficiently and productively to match the stated value proposition of EUV over other lithographic methods. We don’t want a pick two of ‘cost, cycle time, capability’ sort of mask solution.” More specifically, Progler explained that after the initial EUV mask development for 5nm focused on contacts and block layers, the major push for N5 switched to delivering single-exposure EUV metal patterning as early as possible. “This has opened some new challenges for masks given the resolution, critical pattern density and tight pitch defect requirements of the re-aggregated single-layer metal mask designs,” said Progler. “For example, on the resolution side, we are accelerating the insertion of higher dose photoresists and also driving patterning module improvements in CD control, mask LER and sidewall angle.” Progler added that at N5, the mask 3D structure itself – including the sidewall – will have a greater impact on lithography because it is tied to stochastic error rates on the wafer.“Reliable, wide-area metrology for some of these 2D and 3D mask parameters is currently hard to come by. We may see an evolution of the blank structure at some point in N5, including hard mask options for pattern stability and expect earlier insertion of EUV mask process correction with model-based hot spot detection and rule checking as well. We also hope mask-scanner dedication is not needed, but there are some indications process sensitivity may push us earlier in this direction.” He added that to reduce metal layer defects, more attention needs to be devoted to advanced repair and model-based validation. “We are, unfortunately, still in a situation of blurry vision and high native defect counts alongside possible in situ contamination during mask changes.” Figure 2. Resist stochastics-induced defects. Graph courtesy of Peter DeBisschop, imec; SOURCE: GLOBALFOUNDRIES Progler pointed out that, with the advent at 5nm, metal masks will require some level of actinic blank inspection for yield, increasing the cost of an already expensive mask technology. “So, unless we want to contend with double and triple photomasks’ starts to deliver a single metal layer, it will be very important to tighten the multi-sensor inspection, defect abatement, and repair loops,” said Progler. He does see some clouds forming around high-volume manufacturing pellicles for metal layers. “This remains an open question, mainly for thermal and materials reasons, not to mention cost and cycle time,” Progler said. “We may be pessimistic, but we do not see an HVM pellicle solution converging in the required timeframe, which means leaning even more on a wafer-level inspection in the validation loop.” He believes that streamlining validation will be a differentiator. “I can imagine one losing most of the EUV cycle time benefits by endlessly circling masks around if this is not done well.” How does the industry get to 3nm? ASML plans to ship its first high-NA EUV prototope/pilot systems between 2020 and 2023 to support 3-2nm process development. “System designs are now being finalized and the platform is starting to come to life,” said Lercel. ASML supplier ZEISS is building a high-NA cleanroom for optics production. ASML believes that EUV, high-NA and DUV systems will be used together at the most advanced nodes and is designing to account for this mixed environment. “As chipmakers drive toward smaller geometries in the most advanced nodes like 3nm, they face unprecedented challenges in devices and materials. This will make the process control requirements even more challenging.” ASML is tackling these challenges with its YieldStar metrology platform, e-beam metrology (HMI) and computational lithography solutions that are designed to expand the process window, enhance process control, and improve patterning defect detection. “This ‘Holistic Lithography’ approach will become increasingly important to ensure throughput and yield at the most advanced nodes.”Levinson said that the issues he projects for 5nm will need to be addressed further at 3nm. “The challenges associated with resists at 3nm dimensions are such that it isn’t clear that chemically amplified resists will be capable of meeting requirements,” said Levinson. “If true, we would be seeing the most significant change in resist platforms in a quarter of a century. Potentially cost-reducing technologies such as directed self-assembly (DSA) are always welcome, but EUVL will be the lithographic workhorse through the 3nm node, and likely beyond.”At 3nm, mask makers will confront the realities of higher EUV NA tools. “We will need to implement thinner mask absorbers, new films, and perhaps hard masks,” Progler said. “This puts us in a new materials regime for masks, and history has shown us the mask industry takes a long time to refine processes and tools for new mask materials.” He explained that the small scale of the mask ecosystem and the small number of large suppliers available to address the challenges accounts for this lengthy time frame. Still, looking ahead, Progler noted that Photronics has already done a few studies on the impact of proposed half-field, high NA anamorphic optics on masks. "We uncovered some challenges that need to be addressed, particularly at boundaries and within the overall mask flow,” said Progler. As mask resolution continues to scale down, the industry will need fundamentally higher resolution mask making and inspection processes, requiring next-generation multi-beam mask writing and electron beam inspection, he explained.At 3nm and below, Progler noted that the metrology needs for masks, while not as severe as that for wafers at these nodes, will test the mask equipment infrastructure in ways that could challenge the relatively small mask industry. “Of course, EUV multi-patterning comes into play as well, and with that, the SRAF sizes will drop below 20nm, requiring an asymmetric compensation over a much wider influence area than the OPC people are used to considering.” With EUV multi-patterning, Progler explained that it will be increasingly important to match or pair EUV masks and to consider how 3D effects and stochastics will drive new technology to enable new requirements for high-speed metrology and simulation components. “All the justifiable hand-wringing over EPE with ArF multi-patterning today gets introduced to the EUV scene when masks are ganged together to make a single device layer,” said Progler.Debra Vogler, SEMI
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