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Semiconductor process development is no easy task, with each generation of devices more difficult and expensive to create. Traditional cycles of build-and-test development are becoming obsolete, since they are too expensive and time-consuming for the most advanced processes.The High Cost of Process DevelopmentMost chip designers developing new products rely on existing manufacturing processes, but someone had to create those processes to make the designs possible. The goal of process development is to create new semiconductor manufacturing processes that provide high yield while achieving the required device performance. In contrast to new chip design, however, it requires an entirely different set of engineers and skills.The traditional approach to process development involves building multiple test wafers to determine the ideal process for a given device. After one set of wafers is fabricated and analyzed, insights from the previous round help to refine process steps for another round of fabrication. Due to smaller feature sizes, each new process generation is more sensitive to variation. This adds even more complexity because smaller feature sizes and parasitic effects require more measurements and testing as well as additional fabrication. The cycle is repeated many times before the entire process flow can be finalized, making it time- and cost-intensive, especially for the most advanced technology nodes.Testing Virtual Wafers Instead of Real WafersToday, there is an alternative to this slow, expensive way of doing things. Virtual fabrication lets computers simulate all of the processing that occurs when real wafers are built. These virtual models allow semiconductor process engineers to test manufacturing equipment settings with far greater variation than is possible in a physical fab. Designers can simulate the entire process flow, running the equivalent of thousands of wafers in days instead of months. Designers can quickly see graphical animations to visualize process steps, modify process recipes and device geometries, and measure how these changes affect electrical behavior.Improving Yield Using Statistics in Virtual Wafer FabricationBecause of the high volume of data generated, designers are turning to statistical analysis to provide greater confidence in their choice of process settings. Defects and random variations can be modeled in a virtual fab in a way that’s not possible in a real fab, letting developers test the sensitivity of the device structures against the unpredictable aspects of processing.There’s more than one approach to optimizing the process settings used in a new memory or logic fabrication sequence. The simplest one involves taking a single variable and exploring its effects. Critical dimensions (CDs), for example, establish those feature sizes of a device that ensure desired electrical performance. A particular dimension can be swept from low to high values – developers can then measure the effects of that range on device behaviors such as threshold voltage. This allows developers to ensure that the electrical behavior of their device design addresses the range of expected feature sizes and variability. The interactions with intersecting process steps can also be tested for further validation, since these interactions can lead to unanticipated device performance.But, in reality, this approach isn’t sufficient for studying the complex web of interactions between process steps and the resulting structures.A second approach leverages Monte Carlo analysis, randomly varying a wide range of process and device parameters and calculating the resulting device geometry and performance. This data can be used to automatically identify the process and design settings needed to achieve yield and performance goals. It’s an area where simulation shines, providing a useful way to test the interactions between many different processes.Statistical experiments using virtual fabrication illustrate step-by-step methodology to optimize process and design settingsVirtual Fabrication PlatformSEMulator3D is a virtual fabrication platform created by Coventor, a Lam Research company. It allows the definition of all process steps, the modeling of devices, the collection of metrics, electrical and device analysis, the statistical analysis of results, and the visualization of process steps through graphical animation. Today, semiconductor companies use it for both optimizing and scaling leading process nodes and for developing advanced new technologies like GAA (Gate-All-Around) transistors.The ability to do this work virtually is the future of semiconductor process development. Virtual fabrication accelerates new process time-to-market by months, opening up market opportunities worth hundreds of millions of dollars for semiconductor companies.Visualization of process steps of a Gate-All-Around transistor shows 3D construction in SEMulator3D. To learn more about virtual fabrication and how it’s changing the future of semiconductor technology development, download our whitepaper Speeding Up Process Optimization with Virtual Fabrication.Lam Research is a longtime member of MEMS Sensors Industry Group®, (MSIG), a SEMI technology community that connects the MEMS and sensors supply network in established and emerging markets, enabling members to grow and prosper. Visit us today.David M. Fried, Ph.D., is vice president of Computational Products at Lam Research, where he is responsible for the company’s strategic direction and implementation of virtual process solutions, including the Coventor SEMulator3D virtual fabrication 3D process modeling solution. Fried leads the execution of technology strategy for technology platforms, partnerships, and external relationships. His expertise touches upon such areas as Silicon-on-Insulator (SOI), FinFETs, memory scaling, strained silicon, and process variability.Fried is a well-respected technologist in the semiconductor industry, with 60 patents to his credit and a notable 14-year career with IBM, where he was involved in successive process generations from 65-nanometer and lower. His most recent position was 22nm chief technologist for IBM’s Systems and Technology Group. He holds bachelor’s, master’s and doctoral degrees in Electrical Engineering from Cornell University.Republished with permission from Lam Research.
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With chipmakers looking toward 5nm manufacturing, it’s clear that traditional scaling is not dead but continuing in combination with other technologies. The industry sees scaling enabled by 3D architectures such as die stacking and the stacking of very small geometry wafers. Interconnect scaling also comes into play. This year’s Scaling Technologies TechXPOT at SEMICON West (Scaling Every Which Way! – Thursday, July 12, 2:00PM-4:00PM) will provide an update on the evolution of scaling and describe how the various players (foundry, IDM, fabless, and application developers) are jockeying for innovation leadership. As a prelude to the event, SEMI asked speakers to provide insights on important scaling trends. For a full list of speakers and program agenda, visit http://www.semiconwest.org/programs-catalog/scaling-every-which-way.Challenges for gate-all-around (GAA) and FinFET devicesDiederik Verkest, imec Distinguished Member of Technical Staff, Semiconductor Technology and Systems“During the processing of GAA devices, there are ‘non-line-of-sight’ hidden features that are difficult to control and characterize and may also lead to new defect mechanisms that would impact yield, and possibly product reliability.”Common performance boosters for gate-all-around (GAA) FETs and FinFETs include lower access resistance, lower parasitic capacitance, and stress. “However, one specific performance booster that only applies to GAA is the reduction of the spacing between the vertical wires or sheets,” says Diederik Verkest, imec distinguished member of technical staff, Semiconductor Technology and Systems. “This reduces parasitic capacitance without affecting drive current and hence benefits both performance and power.” He further notes that imec demonstrated the first stacked gate-all-around (GAA) devices in scaled nodes. “In fact, we are the only ones that published working circuits – ring oscillators in a scaled node using industry-standard processes – in our case replacement metal gate (RMG), and embedded in situ doped source/drain (S/D) epitaxy.”“There are two elements of the stacked GAA architecture that need to be addressed,” says Verkest. “The first is that this architecture uses epitaxially-grown layers of Si and SiGe to define the device channel. The use of grown materials for the channel and the lattice mismatch between the two materials represent a departure from the traditional fabrication of CMOS devices, so the industry needs to develop and gain confidence in novel metrology that allows for good control of the layers and also proves their low defectivity.” The second aspect is the three-dimensional nature of the GAA devices. “During the processing of these devices, we have ‘non-line-of-sight’ hidden features that are difficult to control and characterize and may also lead to new defect mechanisms that would impact yield, and possibly product reliability.”Huiming Bu, Director, Advanced Logic/Memory Research - Integration and Device, IBM Research, Semiconductor Group"A new device architecture beyond FinFET is required to provide a full technology node scaling benefit (i.e., density, power and performance) at 5nm and 3nm.”Huiming Bu, director, Advanced Logic/Memory Research - Integration and Device, IBM Research, Semiconductor Group, says that naming of technology nodes has been used extensively for marketing strategies in “foundry land,” but the designations have lost much of their meaning as technology scaling differentiators. “That said, when it comes to technology innovation and value proposition, IBM, in conjunction with Samsung and GLOBALFOUNDRIES, has developed the GAA NanoSheet transistor for 5nm to provide a full technology node scaling benefit in density, power and performance,” says Bu (Figure 1). The key parameters for intrinsic device optimization when scaling to the 3nm node, explains Bu, are the NanoSheet width for better electrostatic characteristics, and the number of sheets for increased current density. Also necessary are strain engineering for carrier transport enhancement, and interconnect innovations for parasitic RC reduction. “Beyond that, the industry needs to look into something different, something more disruptive.”Figure 1. TEM cross section of stacked NanoSheet transistors. SOURCE: IBM Research Materials challengesMaterials challenges are also a concern as the industry moves to 5nm and below. “We see increasing complexity in the material systems that are being used,” explains Verkest. One example he cites in scaled FinFET or GAA technologies is the use of two to three layers of different materials – typically metals such as TiN – to which small amounts of other elements are added to set device characteristics such as the threshold voltage. “At the same time, the requirements for the thickness of these materials, driven by gate dimensions for example, or the distance between the wires, are increasingly challenging.” Other examples of materials challenges are the use of two to three different types of insulators in the middle-of-the-line, each with different etch contrasts. “We use novel materials such as carbon containing oxides or oxynitrides that have lower dielectric constants in order to boost the performance of circuits,” he says, noting that the materials list “is quite long.”Several critical dimensions in transistors at advanced technology nodes have already reached a few monolayers of atoms, fueling expectations for innovation at the material level for transistor scaling, Bu notes. “The other argument is that there is a growing gap between computing demand and the slowdown of technology advancement driven by conventional scaling,” says Bu. One trend that addresses this gap is integrating more computing functions that make the technology solution more modular, which naturally leads to the incorporation of more materials for more applications. Bu cautions, however, that introducing new materials in semiconductor technology has never been easy. “It takes many years of R D to reach this implementation point, if it ever happens. So, do we need new materials when the industry moves to 5nm and 3nm? Yes, though I expect new material implementation to be a lot faster in interconnect and packaging at these nodes rather than intrinsic to the transistor.” Challenges in developing atomic-level processesThere will be challenges in developing atomic-level processes used in scaling, such as atomic layer depositions (ALD) and atomic layer etches, notes Verkest. “These classes of processes are both required to handle the scaled dimensions at the 5nm and 3nm nodes, and also the 3D nature of the scaled technologies – and here we are talking about logic and memories,” Verkest says. “With respect to depositions, we would need to develop thermal ALD processes (not plasma-based) that enable accurate and conformal depositions in non-line-of-sight structures.” Adhesion and wetting, smoothness, and throughput would also need to be addressed. “Longer term, these processes need to facilitate selectivity and self-alignment to address gap-fill challenges in highly scaled structures,” he says. Other concerns he notes with respect to atomic layer etches are selectivity to various materials, and fidelity requirements that increase the requirements for metrology accuracy. “Throughput is also a concern.”Bu believes that a new device architecture beyond FinFET is required to provide a full technology node scaling benefit (i.e., density, power and performance) at 5nm and 3nm. “Beyond 3nm, we may need to continue the transistor scaling in the vertical direction and start to stack them together,” Bu says. He also cites the need for parasitic R/C reduction in the interconnect to take advantage of the intrinsic transistor benefit at the circuit and chip levels. “We see a lot of opportunity in atomic-level processes, especially in atomic layer etch and selective material deposition, to address these challenges in the transistor and the interconnect.” Debra Vogler, SEMI
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