Advancements in Semiconductor Device Technology

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Summary

Advancements in semiconductor device technology are pushing the boundaries of computing power, speed, and miniaturization by introducing new materials, innovative designs, and smarter ways to build chips beyond the limits of traditional silicon. This means engineers are moving beyond just shrinking transistors and instead exploring fresh approaches like chiplet architectures, gate-all-around transistors, and even brain-inspired computing models.

  • Embrace new materials: Explore using materials like graphene and two-dimensional semiconductors to improve energy efficiency and open up new possibilities for high-performance chips.
  • Adopt smarter architectures: Consider distributed designs such as chiplets and three-dimensional integration to pack more computing power into smaller spaces and support multifunctional devices.
  • Stay aware of trends: Keep up with emerging transistor technologies like nanosheet FETs and complementary FETs, which are set to power the next generation of processors and devices.
Summarized by AI based on LinkedIn member posts
  • View profile for Antonio Grasso
    Antonio Grasso Antonio Grasso is an Influencer

    Independent Technologist | Global B2B Thought Leader | Speaker | LinkedIn Top Voice & Influencer | Advancing Human-Centered AI & Digital Transformation

    42,474 followers

    As we reach the atomic frontier of chip design, progress depends less on shrinking transistors and more on rethinking architectures, embracing new materials, and developing computing models inspired by nature. For decades, Moore’s Law guided the evolution of microprocessors with remarkable precision. Every two years, transistors became smaller, faster, and more efficient. Today, as we approach atomic distances of about 0.5 nanometers in silicon, physics begins to dictate its own boundaries. Quantum effects destabilize traditional designs, and the cost of further miniaturization grows exponentially. This shift invites us to change perspective. Instead of forcing the limits of scaling, we can explore distributed approaches such as chiplet architectures, which divide processors into smaller, cooperative units. At the same time, research on advanced materials like graphene and 2D semiconductors opens new paths for energy efficiency and performance. Beyond materials, the inspiration from the human brain drives the rise of neuromorphic chips, capable of learning and adapting with minimal energy. Quantum computing adds another dimension, using superposition and entanglement to solve problems that classical systems cannot handle efficiently. Innovation in microelectronics is entering a new phase where creativity, physics, and computation intersect. The question is no longer how small we can go, but how intelligently we can redesign the future of computing. #Semiconductors #QuantumComputing #ChipDesign

  • View profile for Mark LaPedus

    Editor in Chief at Semiecosystem

    7,991 followers

    What's next for chips beyond 2nm?   The semiconductor industry is fairly certain how to design and make new chips at least until 2030, but there is some uncertainty beyond that point. Beyond 2030, the semiconductor industry could extend today’s technologies or migrate to something new. For example, in R&D, the industry is working on several futuristic transistor candidates, such as 2D FETs, CFETs and others, to enable new, advanced chips in the distant future. Chiplets is also an emerging option.   The latest developments on these technologies were presented in various papers at this week’s IEEE International Electron Devices Meeting (IEDM) in San Francisco.   Transistors, a key building blocks in chips, are tiny structures that serve as a switch in devices. Advanced chips each have billions of transistors.   For years, chips mainly consisted of planar transistors. Planar transistors are still used in today's chips, but they have certain limitations.   In response, Intel in 2011 migrated to a new, high-performance transistor called finFETs. Intel and others soon shipped various chips, such as GPUs and processors, using finFETs.   Now, finFETs face some limitations. So starting at the 3nm or 2nm nodes, the semiconductor industry will embrace a new transistor technology called gate-all-around (GAA). At 3nm, Samsung recently manufactured and shipped the world’s first chips based on a GAA transistor technology called nanosheet FETs. In R&D, Intel and TSMC are also developing nanosheet FET processes at 2nm.   Nanosheet FET transistors are expected to extend to the 14A node in 2027/2028, but they may reach the limit at the 10A node in 2029, according to a presentation from TEL at IEDM. What’s next? The industry has proposed several new transistor types on the roadmap, but nothing is concrete. The futuristic transistor types face several manufacturing and cost challenges. For now, though, the next transistor type on the roadmap is called complementary FETs (CFETs). CFETs could appear at the 10A node in 2029, according to TEL. At IEDM, Imec, Intel, Samsung and TSMC presented papers on CFETs. Intel demonstrated a CFET with a 60nm gate pitch. “Our most scaled devices consist of 3 nMOS on top of 3 pMOS nanoribbons with 30nm vertical separation," said Marko Radosavljević from Intel in a paper at IEDM. CFETs may extend to the 3A node in 2035, according to TEL. Then, the industry could move to 2D-based transistors, which incorporate transition metal dichalcogenide channel materials. At IEDM, TSMC presented a paper on a 2D device with a 12nm nMOS contact length and a 10nm gate length.   Other futuristic technologies are also in R&D, such as carbon nanotube FETs and Forksheet FETs.   There are other options that are available today. Some are currently shipping devices using chiplets, which integrates different dies in a package. Chiplets will play a big role in the future.  

  • View profile for Vyas Kaushik T.N

    Process Integration Engineer

    6,416 followers

    🔍 Why did the semiconductor industry move to Gate-All-Around (GAA) technology at ~3 nm? For more than a decade, FinFET (Fin Field-Effect Transistor) has been the workhorse of Moore’s Law. Introduced commercially at the 22 nm node (Intel, 2011), it enabled scaling all the way down to 5 nm, powering smartphones, data centers, and AI accelerators. But as we pushed below 5 nm, even the mighty FinFET started to show its limits: ⚠️ Fin width scaling stalls → you can’t shrink the fin further without losing control. ⚠️ Leakage currents rise → 3-sided gate isn’t enough at 3 nm and below. ⚠️ Variability issues → multi-fin devices suffer from performance variations. 💡 The solution? Gate-All-Around (GAA) transistors Unlike FinFET, where the gate wraps around three sides of the channel, GAAFET provides 360° gate coverage. Imagine hugging the channel completely no current can escape! 🚀 Advantages of GAAFET over FinFET ✔️ Stronger electrostatic control → reduces leakage, suppresses short-channel effects. ✔️ Scalability to sub-3 nm nodes → keeps Moore’s Law alive. ✔️ Tunable drive current → nanosheets can be stacked to adjust performance/power balance. ✔️ Lower operating voltage → improved power efficiency for AI/5G/mobile. ✔️ Reduced variability → more predictable performance than multi-fin structures. 🧪 Who pioneered GAAFET? The idea of Gate-All-Around FETs goes back to academic research in the 1980s on multi-gate devices. Practical nanosheet/nanowire GAAFETs were developed in the 2000s by IBM, IMEC, and global research groups. Samsung was the first to commercialize GAA at 3 nm (2022) with its MBCFET™. TSMC plans to introduce GAAFET at the 2 nm node (~2025). Intel will debut its RibbonFET at the Intel 20A node (~2024/25). ✅ Summary: FinFET = amazing from 22 nm → 5 nm (and even some 3 nm). But at ~3 nm, GAAFET takes over with superior gate control, efficiency, and scalability. This shift marks the beginning of a new era in transistor design. ✨ Question to my network: Do you believe GAA will dominate for a decade, or will we see a faster shift to post-silicon technologies . #Semiconductors #FinFET #GAAFET #MooresLaw #Innovation #Nanotechnology

  • View profile for Eviana Alice Breuss, MD, PhD

    Founder, President, and CEO @ Tengena LLC | Founder and President @ Avixela Inc | 2025 Top 30 Global Women Thought Leaders & Innovators

    8,555 followers

    EPITAXIAL MONOLITHIC 3D INTEGRATION WITH LOWER-POWER 2D MATERIAL-BASED TRANSISTOR: WORLD'S FASTEST NOT MADE FROM SILICON The Moore era has been characterized by the continuous downscaling of Si integrated circuits, driving remarkable advancements in computing power and miniaturization. However, as Si-based devices approach their physical limits, challenges such as short-channel effects, increased power consumption, thermal dissipation, and quantum tunneling have raised concerns about the sustainability of Moore's Law. To address these limitations, the "More-Moore" era has focused on innovative strategies, including the integration of two-dimensional (2D) materials. Recognized for their high carrier mobility and superior gate control at atomic thicknesses, 2D materials offer significant potential for extending electronic performance. A key approach involves hybrid integration, combining 2D materials with Si-based circuits to overcome silicon's inherent constraints and sustain device scaling. In parallel, the "More-than-Moore" era envisions monolithic three-dimensional (M3D) integration, which enables higher device densities and multifunctionality. By layering electronic components in three dimensions, M3D integration offers a transformative approach to scaling, moving beyond the traditional reliance on silicon miniaturization. Integrating M3D CMOS systems with 2D materials-based n-type and p-type transistors presents significant technical challenges, requiring careful material selection and advanced fabrication techniques. Achieving high-performance M3D CMOS integration depends on the development of high-quality 2D p-type semiconductors, refinement of synthesis methods, precise interface engineering, and effective defect control. A team of Chinese scientists at Peking University may have turned the computing industry with their groundbreaking innovation. Using a thin sheet of lab-grown Bismuth and an architecture entirely distinct from today’s silicon-based chips, they have developed what they claim is the world’s fastest and most efficient transistor. This next-generation transistor not only surpasses the performance of leading processors from Intel and TSMC, but also operates with significantly lower energy consumption. According to their statement, at ångström-scale nodes, a gate-all-around (GAA) field-effect transistor (FET) utilizing two-dimensional (2D) semiconductors offers superior electrostatic gate control, enabling ultimate power scaling and enhanced performance. Their study reported successful development of a wafer-scale, multi-layer-stacked, single-crystalline 2D GAA configuration, achieved through low-temperature monolithic three-dimensional (M3D) integration, implying Pt and Au metal gates. The high-mobility 2D semiconductor Bi₂O₂Se was epitaxially integrated with a high-κ layered native-oxide dielectric Bi₂SeO₅, forming an exceptionally smooth interface. # https://lnkd.in/gUG3cKYR

  • View profile for Jerry Hsiang

    Building

    8,601 followers

    We're now etching transistors at 2 nanometers—the same width as a DNA double helix. ASML EUV lithography machines fire 13.5nm light through a series of atomically precise mirrors crafted by Carl Zeiss ZEISS Group all in a vacuum because even air is too “thick.” This ASML–Zeiss partnership is arguably one of the most important private company alliance in the world today—and will be for years to come. TSMC is leveraging this tech to mass-produce chips smaller than viruses, packing tens of billions of transistors onto a sliver of silicon (<2-3 nanometers now) Due to physics constraints—at least as far as textbooks currently define them—ASML can forecast its product roadmap with 5–10 years of near certainty. Beyond 15 years, only a handful of scenarios exist. And in the past few years, the slope of progress has gone nonlinear: Moore’s Law hasn’t just doubled—it’s been 8x’d. Hyperscaler demand has shifted from 2x to 16x transistor density every 2 years. This is modern ALCHEMY: light, mirrors, and silicon—conjuring the intelligence powering our world. This is a whole lot of of Dutch and German optical and atomic engineering.

  • View profile for Keith King

    Former White House Lead Communications Engineer, U.S. Dept of State, and Joint Chiefs of Staff in the Pentagon. Veteran U.S. Navy, Top Secret/SCI Security Clearance. Over 17,000+ direct connections & 49,000+ followers.

    49,237 followers

    Germany Unveils Breakthrough Semiconductor Alloy to Propel Quantum and Chip Tech A new Group IV compound—CSiGeSn—promises to reshape quantum computing and photonics ⸻ 🔬 Introduction: A Material the World Has Never Seen—Until Now In a groundbreaking achievement, scientists in Germany have synthesized a first-of-its-kind semiconductor material by merging carbon, silicon, germanium, and tin—four Group IV elements from the periodic table. Known as CSiGeSn, this novel compound could catalyze a new era in quantum computing, photonics, and advanced microelectronics, according to researchers at Forschungszentrum Jülich (FZJ) and the Leibniz Institute for Innovative Microelectronics (IHP). ⸻ 🧪 Key Highlights and Technological Breakthroughs The First Fully Group IV Quaternary Alloy • Elements combined: Carbon (C), Silicon (Si), Germanium (Ge), and Tin (Sn). • All belong to Group IV—ensuring crystal lattice compatibility and CMOS fabrication readiness. • Dubbed the “ultimate Group IV semiconductor”, per Dr. Dan Buca of FZJ. Why It’s a Game-Changer • Photonics and Quantum Integration: Enables fine-tuning of electronic and optical properties, surpassing the capabilities of traditional silicon. • Scalable for Industry: Fully compatible with existing CMOS chip manufacturing, paving the way for commercial scalability. • Enhanced Control: The tunability of the new alloy supports on-chip integration of quantum elements, long seen as a barrier to quantum device development. Implications for Quantum and Chip Tech • Quantum Computing: Facilitates development of qubit architectures integrated into classical systems. • Microelectronics: Enhances transistor performance and energy efficiency. • Photonics: Could boost on-chip light-based communication systems, critical for data center efficiency and quantum networking. ⸻ 🌍 Why It Matters: A European Leap in the Quantum Arms Race • Strategic Autonomy: Strengthens Europe’s position in the global semiconductor and quantum computing race, currently dominated by the U.S. and Asia. • Accelerated Innovation: Addresses long-standing bottlenecks in integrating quantum components into existing silicon frameworks. • Commercial Viability: By using Group IV elements, the material avoids rare or geopolitically sensitive materials, ensuring a more resilient and sustainable supply chain. This innovation is not merely an academic success—it signals a transformative leap in foundational tech infrastructure. CSiGeSn opens the door to faster, more powerful, and energy-efficient devices, reshaping how we process data in everything from quantum computers to mobile phones. https://lnkd.in/gEmHdXZy

  • View profile for Jayme Hansen

    Healthcare CFO / CEO / Mentor / BoD Experience US Army Veteran / Public Speaker / Father of Vets Cat Dad / AI & Quantum / BD / Adoptee & Veteran Advocate / FACHDM / Currahee / Combat Medic

    30,794 followers

    Penn State Researchers Break a 165-Year-Old Physics Law — And Open the Door to a New Thermal Technology Era A research team at Penn State has achieved a remarkable milestone by demonstrating a strong, measurable violation of Kirchhoff’s 165-year-old law of thermal radiation. This breakthrough could significantly impact energy harvesting, infrared sensing, and heat management. Kirchhoff’s law, established in 1860, states that a material’s emissivity (its ability to emit heat as radiation) must equal its absorptivity (its ability to absorb heat) when in thermal equilibrium and in a reciprocal environment. This principle has guided thermal engineering for generations. However, scientists have long suspected that nonreciprocal systems, which break symmetry often through magnetic fields, could challenge this rule. Penn State has now provided evidence to support this hypothesis. The breakthrough involved: - A custom-engineered metamaterial approximately 2 micrometers thick, composed of five semiconductor layers. - Achieving the strongest nonreciprocity ever recorded in a thermal emitter, with a directional emissivity–absorptivity contrast of 0.43, more than double the previous state of the art, sustained across a broad 10-micron infrared wavelength band. This means the material emits significantly more heat in one direction than it absorbs, marking a departure from classical thermal equilibrium behavior. The team’s methodology included: - Designing a magneto-optical semiconductor stack responsive to a magnetic field. - Building a custom magnetic thermal emission spectrophotometer. - Applying high magnetic fields to induce substantial nonreciprocal behavior. - Demonstrating the thin-film device's transferability to other surfaces for practical system integration. This research could transform various industries: - Energy harvesting: Directional thermal emission may enable heat-to-electricity conversion with reduced loss. - Next-generation infrared sensors: Devices that selectively emit or suppress IR light could enhance sensing, imaging, and stealth capabilities. - Thermal diodes and heat-flow control: The development of true “one-way heat valves” may soon become a reality. - Fundamental physics: This work pushes the boundaries of reciprocity

  • View profile for Chun Yi Wu

    Data Scientist | Yield Systems | Foundry-Scale Manufacturing Data & AI | Technical Lead | Yield Intelligence & Manufacturing Data Platforms | PMP

    2,116 followers

    2025 once again highlights TSMC’s depth in R&D and long-term IP strategy. In Taiwan, TSMC remained the top invention patent applicant for the 10th consecutive year, with 1,485 invention patent applications in 2025, up 5% year over year. It also ranked first among domestic applicants for granted patents, with 1,543 grants. Beyond filing volume, the more important story is the technology direction behind the patents. TSMC’s innovation focus continues to center on advanced node scaling, EUV lithography, GAA nanosheet patterning, and advanced packaging platforms such as CoWoS, SoIC, and InFO, which are all critical for AI, HPC, and chiplet-based integration. In the U.S., TSMC continues to be a major force in the patent landscape, alongside companies such as Samsung, LG, and Qualcomm, reflecting a strategy that goes beyond process technology and into global competitive positioning. What stands out most is not just the scale of filings, but how clearly TSMC connects process innovation, packaging innovation, and IP strategy into a durable advantage. The 2025 data also shows that semiconductor manufacturing, thermal management, and advanced interconnect architectures remain key areas of technical competition. REF: https://lnkd.in/gnbPN5GK #TSMC #PatentStrategy #Semiconductor #Innovation #USPTO #TIPO #AdvancedPackaging #EUV #GAA #CoWoS #SoIC #InFO #R&D #IntellectualProperty

  • View profile for Kumar Priyadarshi

    Founder @ TechoVedas| Building India’s ecosystem one Chip at a time|Global Foundries| NUS| A-Star| IITB

    45,589 followers

    8 Major trends in Semiconductor Manufacturing 🔹 1. Technology Scaling & Moore’s Law Extensions • Advanced Nodes: Transition from 7nm → 5nm → 3nm → (2nm under development). • Gate-All-Around (GAAFETs): Moving beyond FinFET to nanosheet and nanowire transistors. • Chiplet Architectures: Instead of monolithic chips, companies are disaggregating into smaller “chiplets” interconnected by advanced packaging. 🔹 2. Advanced Packaging & Heterogeneous Integration • 2.5D/3D Integration: Use of through-silicon vias (TSVs), hybrid bonding, and interposers. • High Bandwidth Memory (HBM): Stacked DRAM tightly integrated with logic for AI/ML workloads. • System-in-Package (SiP): Integration of logic, memory, analog, RF, and sensors in one package. 🔹 3. Materials Revolution • Wide Bandgap Semiconductors: SiC (Silicon Carbide) and GaN (Gallium Nitride) for power electronics, EVs, and 5G. • New Lithography Materials: Extreme Ultraviolet (EUV) lithography enabling <7nm nodes. • Specialty Materials: Low-k dielectrics, advanced photoresists, and engineered substrates. 🔹 4. AI & Specialized Compute • AI Chips / Accelerators: NVIDIA GPUs, Google TPU, AMD MI300, Intel Gaudi, plus a wave of startups. • Domain-Specific Architectures (DSA): Chips optimized for workloads like AI, cryptography, networking. • RISC-V Momentum: Open-source ISA gaining adoption for embedded, automotive, and even server workloads. 🔹 5. Supply Chain & Geopolitics • Regionalization: U.S., EU, India, Japan pushing for domestic fabs (CHIPS Act, EU Chips Act, India’s PLI). • China’s Push: Heavy investment in legacy nodes (28nm, 40nm) and equipment self-reliance. • Resilience & Diversification: Shift away from overdependence on Taiwan and South Korea. 🔹 6. New End-Use Drivers • Automotive: EVs, ADAS, and in-vehicle computing driving chip demand. • 5G & Beyond: RF front-end and infrastructure semiconductors scaling up. • Data Centers & AI: Explosive growth in AI servers, accelerators, and high-speed interconnects. • IoT & Edge AI: Ultra-low-power chips for sensors, wearables, and industrial applications. 🔹 7. Sustainability & Green Manufacturing • Energy Efficiency: Chips designed for lower power consumption (esp. in AI and mobile). • Sustainable Fabs: Reducing water, energy, and greenhouse gas emissions in fabrication. • Circular Supply Chains: Recycling critical materials (rare earths, gases, and wafers). 🔹 8. Industry Structure & Business Models • Foundry Dominance: TSMC, Samsung, Intel Foundry Services competing at leading edge. • Fabless Growth: Qualcomm, NVIDIA, AMD focusing on design, outsourcing manufacturing. • M&A & Consolidation: AMD–Xilinx, NVIDIA–Arm (attempted), Intel acquiring Tower. • Vertical Integration: Apple designing its own SoCs; Tesla exploring in-house chips. ~~~~~~ If you are looking to invest in semiconductors and need expert guidance insights, drop us a DM.

  • View profile for Ali Kamaly

    Semiconductor Insights Daily | Co-Founder & CEO @ TestFlow | Building Lab Validation Automation | Top Semiconductor Voice | Semiconductor Expert

    31,703 followers

    7 Major milestones in semiconductor manufacturing. Here’s a timeline of how transistor and chip technologies evolved—each leap unlocking a new generation of computing. -> Planar Transistors (1947–1959) The era began with the invention of the bipolar junction transistor at Bell Labs—ushering in modern electronics. In 1954, silicon replaced germanium, and by 1959, the planar process allowed multiple transistors on a single chip, laying the groundwork for integrated circuits. -> Integrated Circuits (1960s) Pioneered by Jack Kilby and Robert Noyce, ICs made it possible to fabricate many transistors on a single die. Early lithography techniques enabled layout and patterning, pushing chip complexity forward. -> Moore’s Law & CMOS Scaling (1970s–1990s) The introduction of CMOS brought low-power, scalable logic. DRAM replaced magnetic core memory, and Moore’s Law drove aggressive scaling—from 10μm to below 100nm. -> Strained Silicon & High-k Metal Gate (2000s) To keep scaling alive, engineers turned to strained silicon (2002) and HKMG stacks (2007), dramatically improving switching and reducing leakage at 45nm and below. -> 3D Transistors – FinFET (2011) Intel’s 22nm FinFET marked a shift from planar to 3D transistor structures, enabling better gate control, faster speeds, and lower leakage. -> EUV Lithography & Chiplets (2010s–Now) Extreme Ultraviolet Lithography became essential for <7nm nodes. Chiplet architecture emerged to sidestep yield and cost limits of monolithic dies—enabling modular scalability. -> GAA & Nanosheets (2020s) Samsung led with Gate-All-Around (GAA) transistors at 3nm—offering even tighter electrostatic control than FinFETs. Nanosheets are paving the way for sub-2nm technologies. Key takeaway: Each leap in transistor and process tech wasn’t just about shrinking—it was about rethinking architecture, materials, and manufacturing. From planar BJTs to GAA nanosheets, this is the relentless engine behind every breakthrough in modern computing. P.S. If you're into semiconductor history, chip design, or chip validation tools—our blog has dozens of deep dives made simple. Link in the comments. #Semiconductors #Transistors #MooresLaw #ICDesign #CMOS #FinFET #EUV #GAA #Chiplets #Nanosheets #TestFlow #ATOMS

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