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IBM Research

All of AI benchmarking at your fingertips What are spin qubits? | IBM Quantum Computing Blog IBM to acquire HRL Laboratories IBM commits $50M in quantum access for US Genesis Mission It’s time for cryptography to get its own abstraction layer It’s time for cryptography to get its own abstraction layer This could be the largest synthetic code dataset yet How to measure the performance of a quantum computer | IBM Quantum Computing Blog Release News: Qiskit v2.5 is here! | IBM Quantum Computing Blog CoFrGeNets replace the ‘bones’ of transformer-based models How training environments can teach AI models to misbehave What’s new at IBM Quantum - Q2 2026 | IBM Quantum Computing Blog Modeling the chemistry of fusion reactor material | IBM Quantum Computing Blog Ponder This Challenge - July 2026 - Return of the Superheroes Apply to IBM Quantum Developer Conference 2026 | IBM Quantum Computing Blog Qiskit Paulice: postselected quantum error correction | IBM Quantum Computing Blog What is IBM’s nanostack chip architecture? IBM introduces the smallest computer chip in the world A new playbook for quantum optimization benchmarking Running AI on mixed hardware for speed and affordability Explore next-gen quantum algorithms with IBM Quantum Credits | IBM Quantum Computing Blog Allstate explores quantum computing for insurance portfolios | IBM Quantum Computing Blog Can LLMs discover quantum error correction codes? Prototype and validate fermionic circuits faster with ffsim | IBM Quantum Computing Blog Bringing the power of semantic AI to IBM Db2 The fast Fourier transform, how and why it works Building AI more like software The future of quantum takes center stage at NY Tech Week Qiskit Fall Fest 2026: Applications open | IBM Quantum Computing Blog IBM to invest $10 billion in quantum computing | IBM Quantum Computing Blog Renowned mathematician Subhash Khot joins IBM Research Ponder This Challenge - June 2026 - The Superhero Team Movies New Classroom Accounts expand quantum access for educators | IBM Quantum Computing Blog Qiskit Global Summer School 2026: Registration now open | IBM Quantum Computing Blog How researchers built a record-setting quantum circuit | IBM Quantum Computing Blog IBM charts a new research path with MIT How IBM is using quantum computing to understand the operating system of the universe How to use sample-based quantum diagonalization on IBM hardware Quantum-centric supercomputing simulates 12,635-atom protein | IBM Quantum Computing Blog A decade of quantum on the cloud | IBM Quantum Computing Blog Ponder This Challenge - May 2026 - The Powers of a Binary Matrix Where the frontiers of high-speed racing and computing meet Introducing the IBM Granite 4.1 family of models Building the future of computing, together Next-generation algorithms could move fusion from the lab to the grid Bringing quantum-centric supercomputing to Illinois What’s new at IBM Quantum - Q1 2026 | IBM Quantum Computing Blog Release News: Qiskit v2.4 is here! | IBM Quantum Computing Blog How IBM Quantum is enabling healthcare and biology research | IBM Quantum Computing Blog How an extra training step can unlock AI’s reasoning power IBM demonstrates extreme scale for content-aware storage with a 100-billion vector database Ponder This Challenge - April 2026 - The Unlabeled Clock IBM Research and ETH Zurich open a new era of innovation IBM’s newest time-series models cover a full range of enterprise prediction tasks Toward a transparent supply chain for AI Quantum computers take a step into real materials science Donating llm-d to the Cloud Native Computing Foundation Cleveland Clinic & IBM debut new quantum simulation workflow | IBM Quantum Computing Blog Turning turbulence into transcripts Like the information in a dream: IBM’s Charles H. Bennett receives ACM Turing award Doubling down on open-access quantum computing | IBM Quantum Computing Blog Unveiling the first reference architecture for quantum-centric supercomputing Realizing Feynman’s vision for the future of simulation | IBM Quantum Computing Blog IBM is working today to secure communication from tomorrow’s quantum risks Building PyTorch-native support for the IBM Spyre Accelerator Quantum simulates properties of the first-ever half-Möbius molecule, designed by IBM and researchers A look back at the International Year of Quantum | IBM Quantum Computing Blog TerraStackAI: Bringing Earth and space AI to Red Hat and the world Ponder This Challenge - March 2026 - Path game on a hole-riddled chessboard Quantum Advantage Tracker: the race to advantage | IBM Quantum Computing Blog
IBM demonstrates High NA EUV process capability on track for insertion below 2 nm nodes at SPIE 2026
Luciana Meli · 2026-02-23 · via IBM Research

At the 2026 SPIE Advanced Lithography + Patterning conference, IBM Research will present a connected series of talks that form a unified roadmap for the future of logic patterning — from the physics of image formation to full‑flow module performance and device‑level electrical results. Together, they’ll show how the industry can move from research into next-generation devices, and starting to build them at scale.

Throughout the week, researchers from IBM will present several new pieces of work that together show how several technologies, including High‑NA EUV, polarization control, stochastic‑risk reduction, next‑generation masks and resists, will converge to push the boundaries of semiconductor fabrication. In concert, these breakthroughs will result in both dimensional and edge placement error (EPE) scaling, while maintaining a sharp focus on chip manufacturability and cost of ownership.

The roadmap for High NA EUV insertion and EPE scaling

In her keynote at the Advances in Patterning Materials and Processes track of the conference, IBM Research Senior Manager for Patterning and Bonding Solutions, Luciana Meli will outline how High‑NA EUV and other resolution‑enhancement techniques create the necessary headroom to continue scaling both critical dimensions and EPE. Her results indicate clear progress toward High‑NA manufacturing readiness, providing the capability needed to extend patterning and EPE control beyond the 2 nm node. IBM unveiled the world’s first 2 nm node chip back in 2021. 

In her talk, Meli will further detail the technical and cost trade‑offs involved and the corresponding shifts required in the lithography roadmap to meet future scaling targets.

lithography tooling roadmap.png

The lithography tooling roadmap.

The physics lever: Driving k₁ lower

IBM lithography researcher Martin Burkhardt will also give a presentation at the conference, outlining how the industry can continue shrinking device dimensions and EPE in EUV lithography by pushing the k₁ factor (a representation of the limit of a technology’s resolution) lower and extending the utility of both Low‑NA and High‑NA EUV. He will demonstrate how imaging quality is increasingly dominated by polarization, fading, and bias, and show that there is a strong value proposition for transverse-electric, or TE‑polarized illumination to achieve stable, high‑quality imaging through pitch.

Looking beyond High‑NA EUV

To scale past the limits of High‑NA EUV, the industry must begin to think about what lithography technologies will be required in the next decade. IBM Distinguished Engineer Allen Gabor will present a next‑generation roadmap that spans advanced tooling concepts, predictive resist metrics, and large‑format mask technologies capable of supporting sub‑5‑nm pitch imaging. These advances bridge the gap between lab research and mass-producing the next generation of devices by linking lithography physics, materials innovation, and manufacturable nodes.

Quantifying the performance benefit: Three application‑level proof points

Three further researchers will give talks at the conference that illustrate the work being done now to improve device scaling:

Gate patterning: Single‑exposure EUV gate patterning is approaching fundamental limits as stochastic noise drives line width roughness (LWR) and local critical dimension uniformity (LCDU) challenges at advanced nodes. These have a direct impact on transistor variability and performance. By co‑optimizing source, resist, and mask, including 3‑beam illumination and next‑generation materials, IBM researcher Gopal Kenath will show there could be dramatic reductions in low‑frequency and overall roughness below 50 nm pitch, breaking the Low‑NA scaling relationship and opening new pathways for future gate scaling.

Contact hole patterning: For contact holes, IBM researcher Dario Goldfarb will quantify the real‑world performance differences between 0.55 NA EUV and 0.33 NA EUV. Using both chemically applied resist (CAR) and metal oxide resist (MOR), the work evaluates critical dimension (CD) and pitch scaling, as well as other concerns including mask error enhancement factor (MEEF), depth of focus (DOF), local critical dimension uniformity (LCDU), and stochastic defectivity, establishing when and how High‑NA delivers yield‑relevant improvements for 2D features at an advantageous cost.

Metal patterning and electrical relevance: Turning imaging into integration results, IBM researcher Chris Penny will compare damascene copper and subtractive ruthenium flows patterned with both Low‑NA and High‑NA EUV. Through detailed characterization, the work will provide a clear, head‑to‑head assessment of the patterning and integration choices needed to deliver high‑fidelity interconnects that meet next‑gen performance targets.

Tying all the pieces together

Across the presentations, the IBM Research team will showcase an integrated R&D pipeline that converts foundational imaging breakthroughs into integration‑ready process modules — and ultimately into device‑level performance gains. From advances in polarization‑engineered imaging to High‑NA interconnect demonstrations, each contribution reinforces a unified roadmap for scaling in the AI era.

Collectively, the 16 technical talks highlight the strength of the IBM semiconductor innovation engine, spanning logic lithography, advanced packaging, and metrology. These efforts are further amplified by our partners across the Albany ecosystem — including TEL, Nova, Lam, ASML, Fractilia, and Brookhaven National Laboratory — whose collaboration accelerates progress throughout the semiconductor stack and strengthens the entire innovation pipeline.

Below is the full list of IBM and our partners' presentations at this year's conference: