downloadGroupGroupnoun_press release_995423_000000 copyGroupnoun_Feed_96767_000000Group 19noun_pictures_1817522_000000Member company iconResource item iconStore item iconGroup 19Group 19noun_Photo_2085192_000000 Copynoun_presentation_2096081_000000Group 19Group Copy 7noun_webinar_692730_000000Path
Skip to main content
Default Banner Image

CMOS

The fast-growing automotive semiconductor market means big change for the IC supply chain. Beyond the obvious demands for reliability and traceability, the sector is moving towards simpler and lower-cost solutions while facing the daunting challenge of automating driving in a complex world. The need for simpler and cheaper automotive intelligence will likely drive acquisitions to build complete platform solutions that are easier to integrate. This demand has already spawned a market for pre-configured test cars to save developers time and money, and is driving LiDAR (Light Detection And RADAR) towards lower-cost, solid state solutions. “The growth of the automotive electronics market provides a great opportunity for the IC supply chain to differentiate on specialty processes and quality for the high-volume automotive business with its long design cycles,” says Scott Jones, principal, strategy, at KPMG, who will speak in the automotive program at SEMICON West. “This differentiation is a chance to reduce chip suppliers’ dependence on scaling volume for the mobile phone world with its short-cycle volatility of winning and losing sockets.” He notes that increasing demand for automotive ICs is also reinvigorating the eight-inch supply chain and spurring opportunity for specialty products such as compound semiconductor devices for power efficiency. Supplying the automotive market also means addressing automotive reliability requirements, which can be 10 times more stringent than for consumer devices. At the same time, the industry must sustain fast-paced development cycles required for the volume and diversity of low-cost IoT devices, manage the segmented supply chain for both those markets, and still spread development costs. Another big challenge for the supply chain will be to automate testing and update vast amounts of embedded software in these automotive devices. “The more complete solution a company can put together, the more the automakers will gravitate to it. They want simplicity,” Jones suggests. Smaller players will need to differentiate with IP and acquire other IP provider to build a broader platform, or be acquired and folded into an all-in-one solution.AutonomouStuff helps accelerate and simplify development of autonomous driving solutionsAutonomouStuff is helping to speed development of these platforms. The company has grown from a sensor distributor into a supplier in the emerging niche of vehicles preconfigured with key interfaces for sensors and controls. These interfaces can then be customized by integrating different components for developers to test their applications. AutonomouStuff offers developers a lineup of vehicle models pre-configured with the interfaces needed to add desired chips, sensors and software to develop their autonomous vehicle systems. Source: AutonomouStuff.“Whether they’re major chipmakers or AI software startups, they don’t have a year to build their own vehicle platforms themselves for developing autonomous vehicle systems,” says Wolfgang Juchmann, VP sales and business development at AutonomouStuff. Juchmann, a SEMICON West speaker, will bring a demonstration vehicle to the show. “In four to six weeks we can prepare a custom test car with selected sensors, enabling users to start testing their computer platforms and software. It’s faster and more cost-effective for us to supply the car with the needed interfaces.” He notes that developers are using some 300 AutonomouStuff vehicles in the field. AutonomouStuff customers are starting to transition from testing on a single car or two to testing on mini-fleets with 50 to 100 vehicles. Beyond sensors and pre-configured vehicles, the next step will be to add more data intelligence services to help with capabilities like tagging the data for training, Juchmann says. AutonomouStuff already offers hardware to support Baidu’s Apollo open-source software stack and data set. The company was recently acquired by the Swedish holding company Hexagon to help support expansion.CMOS silicon LiDAR nears automotive qualificationInnovations in the hyper-competitive LiDAR market, where burgeoning demand is driving the race to develop various types of solid-state devices, may also help reduce the cost of autonomous vehicles. Among the roughly 40 LiDAR suppliers, at least one – Quanergy – is taking advantage of 45nm and 32nm foundry CMOS volume production. The company uses voltage through the semiconductor stack to change the refractive index, controlling the phases of optical beams and the resulting interference patterns of light exiting the chip to quickly steer the laser beam without the need for moving parts, much like the phased array radar its team developed earlier. Solid state LiDAR image with object recognition software. Source: QuanergySo far, most of the small LiDAR units have shipped to the security, industrial automation, drone, robots and 3D mapping markets. However, Quanergy CEO Louay Eldada, another SEMICON speaker, says the company is also winning automotive designs and expects automotive shipments to take off early next year, once automotive certification testing is completed. “We can get design wins because standard CMOS production at TSMC makes us a known entity,” says Eldada. To prevent component misalignment, the company produces its own specialized packaging to secure the laser, phase control ASIC, optical phased-array emitter, detector array, and receiver readout ASIC at its plant in Silicon Valley or the facility of its automotive partner Sensata. Through its software business, Quanergy offers an artificial intelligence (AI) perception program for object recognition and LiDAR tracking. The solution uses the people-tracker software the company acquired from Raytheon.SEMICON West this year expands to three full days of automotive electronics programming and features a Smart Transportation Pavilion. Other companies with experts who will speak as part of the program include XPT/NIO, Infineon, McKinsey, Voyage, GM Cruise, Bosch, Deepen AI, Airbus A3, Nvidia, Excelfore, Byton, Macronix, SK Hynix, SAP, Xilinx, Achronics, California Fuel Cell Partnership, Velodyne, Lam Research, KLA-Tencor, SCREEN, Rockwell, Versum Materials, TechSearch International, Entegris, ASE, Amazon, Continental and Wind River. www.semiconwest.orgPaul Doe, SEMI
Read More
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
Read More