Concluded event

SURGE Virtual Event EMEA 2023

EMEA · Tuesday, November 21, 2023 · Virtual event

At a glance

November 21, 2023

Date

EMEA

Region

Virtual

Format

19

Sessions in 3 tracks

About this event

SURGE EMEA 2023 met online on Tuesday, November 21, 2023, for a single day of talks.

SURGE is Silvaco’s yearly user event, where engineers and researchers show what they’ve built with its TCAD, EDA and IP tools. Silvaco gave 7 of this edition’s 19 talks. The other 12 came from industry and research. STMicroelectronics sent three speakers, joined by Micron, Tower Semiconductor, Kepler Computing and Aril. CEA-Leti, TU Wien, Purdue University and the Ferdinand-Braun-Institut brought the research. Topics ran from machine learning in EDA to SiC short circuits, MRAM cells and an LVDS I/O working at 4 K.

Tracks

Agenda

You can download the recording of any SURGE EMEA 2023 talk
from Silvaco’s support site. Sign in there first, or request access
with a corporate, academic or government email address.

General Session

Welcome and Introduction

Dr. Babak Taheri, CEO and Board Member, Silvaco, Inc.

Chief executive and a director of Silvaco since August 2019, with a short gap in late 2021. He arrived in October 2018 as chief technology officer and executive VP of products. Before that he was CEO of the advisory firm Integrated Biosensing Technologies. He also chairs the electrical engineering department’s advisory board at UC Davis, where he earned his PhD in biomedical engineering.

Machine Learning: A New Revolution for EDA

Patrick Groeneveld, Ph.D.

Getting from a functional description to a mask pattern takes a long chain of algorithms. Some are numerical solvers. Others are heuristics, kept because they work. Every one has parameters engineers tune by hand, such as the relative costs that trade area against speed. A few recent tools hand that tuning to machine learning. They run the flow many times over and read the gradients out of the PPA data, converging on a parameter set for the one design. Research goes further, toward EDA tools that are ML-driven throughout, some for placement and others for routing. Dr. Groeneveld sets out where ML in the EDA flow stands now, and what it’s likely to change over the next ten years.
His career runs through Magma, Cadence, Synopsys and Cerebras. As Chief Technologist at Magma Design Automation, he was on the team behind its RTL-to-GDS2 synthesis product. He held a full professorship in electrical engineering at Eindhoven and now lectures in Stanford’s EE department. He is also finance chair on the Design Automation Conference’s Executive Committee. MSc and PhD from Delft University of Technology.

TCAD Models as “Digital Twins” to Simulate and Optimize Semiconductor Manufacturing Processes

Raul Camposano, CTO, Silvaco, Inc.

TCAD already models how a device is made and how it then behaves, and new semiconductor technology rarely reaches production without it. Its accuracy now supports a bigger role: a digital twin of the manufacturing process, used to simulate that process and optimize it. Before production, the twin lets you develop a technology virtually, with fewer physical experiments and a shorter road to yield. Inside the fab, it can refine the process, watch for variation and catch malfunctions. Dr. Camposano explains the idea, with examples of TCAD models doing that job.

Silvaco’s CTO since February 2022. He spent 13 years at Synopsys, latterly as its CTO. Then he ran two companies as CEO. Mentor Graphics bought the first, EDA cloud firm Nimbic, in 2014; Applied Materials bought the second, Sage Design Automation, in 2020. He is a partner at the semiconductor incubator Silicon Catalyst and lectures at Stanford on EDA and machine learning hardware. PhD in computer science from the Karlsruhe Institute of Technology; IEEE Fellow since 1999.

 

TCAD Track

TCAD Simulation Update

Dr. Eric Guichard, SVP and GM of TCAD Business Unit, Silvaco, Inc.

What’s new across Silvaco’s Victory TCAD tools, and the part TCAD plays when a new device is developed. Dr. Guichard ends on the plans for TCAD development.
Head of Silvaco’s TCAD business since November 2012, after four years as VP of Applications. His Silvaco career began in September 1995 at Silvaco SA, then called Silvaco Data Systems, with applications engineering among his early roles. He holds an MS in materials science and a PhD in semiconductor physics, both from Institut Polytechnique de Grenoble.

Products: TCAD

Impact of Surface Defect Dot on Short Circuit Phenomena

Dr. Eric Guichard, SVP and GM of TCAD Business Unit, Silvaco, Inc.

A switching power device can be pushed into overload. Some applications write robustness limits into the spec and prove them with short-circuit and UIS tests. Mixed-mode circuit simulation reproduces those events, and once its parameters are tuned against experiment, it predicts the electrothermal behavior through the dynamic phase. This study uses Silvaco TCAD to put a single defect dot in a SiC device’s active area. Then it watches the short circuit play out. The dot sits in three places in turn: the flat body/drain interface, the SiC/oxide interface along the channel and the curved body/drain interface. A sensitivity check on position follows.
A physics graduate of the University of Palermo, he started in nuclear fusion research, on ENEA’s FTU project at Frascati and the RFX project in Padua. He now works in STMicroelectronics’ R&D group in Catania on silicon carbide device technology, after earlier work on sensing and RF devices.

Products: TCAD

Study of Magnesium Activation Effect on Pinch-Off Voltage of Normally-Off p-GaN HEMTs for Power Applications

Giovanni Giorgino, GaN Device Engineer for ADG R&D Power & Discretes, STMicroelectronics

What’s new across Silvaco’s Victory TCAD tools, and the part TCAD plays when a new device is developed. Dr. Guichard ends on the plans for TCAD development.
He has been a GaN device engineer in STMicroelectronics’ R&D department in Catania since 2020. That year he also took his master’s in electronic engineering at the Polytechnic University of Turin. He develops, characterizes and models p-GaN gate power devices.

Silvaco Simulation Tools Assisting GaN-based Power Devices Design and Development

Dr. Eldad Bahat-Treidel, Senior Scientist, Ferdinand-Braun-Institut

Lateral GaN power devices are close to commercial maturity for switching up to the 650 V class. They still fall short of the material’s theoretical limit for RDS_ON × A against breakdown voltage. Part of that gap is a trade-off between blocking strength and dispersion; part is the limited vertical blocking of GaN on silicon. Two device routes aim to close it:

  • Vertical GaN transistors take less wafer area than lateral HFETs, which brings RDS_ON × A down tenfold, to 1.0 mΩ·cm². Strain-free homoepitaxy also allows thick drift layers with low background doping, for blocking above 1 kV.
  • Lateral HFETs on an unintentionally doped AlN buffer confine the GaN channel with the large conduction band offset at the buffer interface. The result is stronger blocking and less dispersion.

FBH develops both with physics-based simulation, and Dr. Bahat-Treidel shows where Silvaco tools do the work:

  • FBH simulates the conductance of GaN fin MISFETs, checks it against measurement and predicts how it shifts with geometry and epitaxial layers.
  • For vertical devices, avalanche models shape the edge terminations, and the results go up against experiment and theory.
  • In the AlN/GaN lateral HFET, simulated trapping and de-trapping, with an avalanche model fitted to the epitaxial stack, explains its unusual dynamic on-resistance.
He joined the Ferdinand-Braun-Institut in Berlin in 2006 to develop GaN switching transistors for high-voltage power electronics. Since 2014 he has focused on new device types, vertical GaN transistors among them. Before FBH he worked in photolithography, at Intel from 1996 and at Tower Semiconductor from 2004. PhD in electrical engineering from TU Berlin.

Going Beyond CMOS in Memories

Debo Olaosebikan Ph.D., Co-Founder and CEO, Kepler Computing

Debo Olaosebikan introduces Kepler Computing: why it was founded, and how it’s making design beyond CMOS practical, with memory at the front of the queue. Silvaco TCAD is how Kepler simulates those new memories.
A San Francisco-based physicist and engineer, he co-founded Gigster and was its CTO before Kepler. During his physics PhD candidacy at Cornell, he was the university’s lead researcher on building an electric silicon laser. He did his spintronics research at IBM Almaden, and won the 2011 Future Africa Awards prize for Best Use of Science.

Products: TCAD

Transport at the Nanoscale for CMOS and RRAM Applications

François Triozon, Research Scientist, CEA-Leti

Advanced CMOS devices and RRAM both need electron transport at the nanoscale simulated accurately. François Triozon reviews what quantum transport simulation has achieved lately, and what it now brings to device optimization. In tri-gate CMOS, three-dimensional simulation using the Non-Equilibrium Green’s Functions (NEGF) formalism puts an accurate number on access resistance. The same methods now evaluate contact resistance in transistors whose channel is a 2D material. RRAM, in its OxRAM and tunnel-junction forms, is harder: coupling ab initio simulation with quantum transport still leaves parts of device operation unexplained.
A permanent researcher at CEA-Leti in Grenoble since 2005, three years after his PhD at Université Grenoble Alpes. He simulates electron transport in nanodevices with semi-classical and quantum methods, from ab initio atomic scale up to the full device. His work covers OxRAMs, ferroelectrics, GaN power devices, silicon CMOS, 2D materials and carbon nanotubes.

Numerical Simulations of Spintronic Magnetoresistive Memories

Nils Jørstad, PhD Researcher, TU Wien

MRAM is fast, durable and nonvolatile, which makes it a serious candidate to replace charge-based memory. Several designs switch its logical state with spin-polarized currents. Engineering problems still hold back wide adoption, so there’s real demand for simulation software flexible enough to model an MRAM cell in operation. Nils Jørstad presents the latest results from a finite element approach that simulates the cell’s charge, spin and magnetization dynamics.
A PhD researcher at TU Wien’s Institute for Microelectronics since 2021, in the Christian Doppler Laboratory for Nonvolatile Magnetoresistive Memory and Logic. His doctorate builds spin and magnetization dynamics into simulations of magnetoresistive memory devices. He came from NTNU in Norway with a master’s in physics, specializing in computational physics.

Advanced Modeling Solutions for Development and Manufacturing of Memory Technologies

Sumeet Pandey, Distinguished Member of Technical Staff, Micron Technology

25 Years of Quantum Transport Tool Development Resulting in a Global Impact

Gerhard Klimeck, Deputy CIO, Associate VP of Academic Research, Purdue University

Quantum transport modelers have argued over theoretical approaches and prototype codes for 30 years. The test devices of the 1980s and 1990s were 2D electron gases and room-temperature resonant tunneling diodes. Today’s transistors have reached the size and behavior of those early structures. So industry now needs device models that predict quantitatively, right down to the last few nanometers of scaling. Gerhard Klimeck explains why it chose NEGF with an atomistic tight-binding basis, and how his group’s NEMO5 became the implementation the community adopted. Intel uses it today and Silvaco has commercialized it. Versions of NEMO also run as simple apps on nanoHUB and chipshub. Students and researchers use them to explore the concepts and run detailed analysis.
He holds a chaired professorship at Purdue University, in electrical and computer engineering. There he is also Deputy CIO and Associate Vice President for Academic IT, and directs the Network for Computational Nanotechnology. He helped create nanoHUB.org, which serves more than 2 million users a year. Co-inventor of a single-atom transistor, author of more than 525 papers, and a fellow of the IEEE, APS, IOP and AAAS. Intel has designed transistors with his NEMO5 software since 2015.

Simulation of 2D-TMDs-channel FETs with Atomistic Precision

Dr. Phillipe Blaise, Silvaco, Inc.

Could a transistor with a 2D channel replace silicon? Once the channel is only a few atomic layers thick, atomistic simulation looks like the only way to answer that. Dr. Blaise puts the question to Victory Atomistic, which answers it from quantum mechanics. He shows how the tool supports prototyping a 2D transistor inside a professional TCAD environment.

Recordings for all 20 SURGE North America 2025 a

He has spent three years as a senior application engineer for atomistic simulation in Silvaco’s TCAD division. Before that, he spent 15 years at CEA-Leti simulating new memory devices and transistors atom by atom. He previously sat on IEEE IEDM’s Modeling and Simulation Committee, has co-written more than 50 journal papers and is named on 5 patents. Master’s in applied mathematics from ENSIMAG; PhD in solid-state physics from Université Grenoble Alpes.

 

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EDA and IP Track

Analog Custom Design and IP Update

Dan Fitzpatrick, VP and GM of EDA Business Unit, Silvaco, Inc.

Dan Fitzpatrick, who runs Silvaco’s EDA business, takes you through the new features in its analog and custom design tools. Then he looks ahead to the EDA products still to come.
He heads development of every Silvaco EDA tool. That runs from circuit simulation and SPICE modeling through analog custom design and verification, with standard cell layout, characterization and SIP management alongside. He joined in 2021 to lead the SIP management and standard cell product lines. Before that he held software development and product management roles at companies ranging from start-ups to the Fortune 500. MSEE, University of Florida; MBA, University of Central Florida.

Products: Analog and Custom IC

Power Device Modeling for SPICE

Bogdan Tudor, Silvaco, Inc.

Silicon, GaN and SiC each bring their own strengths and quirks to a power device, and a SPICE model has to respect them. Bogdan Tudor compares how compact models and macromodels handle the job. Most of the session goes to power FETs: how to handle their bias-dependent capacitances, and how to tune the model against dynamic behavior. He closes on the problems particular to power devices, parasitic elements and model accuracy among them.
Head of device characterization at Silvaco, in charge of the Utmost and modeling services teams. More than 20 years on modeling and characterization software.

Silvaco and Tower Collaboration in Design Kit and Standard Cell Library Development and QA

Ofer Tamir, Managing Director, CAD, Design Enablement and Support, Tower Semiconductor

Silvaco is Tower Semiconductor’s main standard cell library supplier, across all of Tower’s technologies. The newest set targets Tower’s 65nm advanced power management process, with in-depth characterization and MTBF performance calculated. The work runs the other way too. Tower supports and qualifies its iPDK and SPICE models on Silvaco’s analog design flow, from Expert and Gateway to SmartDRC and SmartLVS.
At Tower since 2001, when he joined as Director of Design Enablement and CAD. He runs Tower’s design kit development and its worldwide design support and CAD teams. He also handles its EDA relationships, which take him to conferences such as DAC. More than 30 years in EDA and CAD, at DSPG, National Semiconductor (now TI) and Tower.

Products: Expert, Gateway, SmartDRC/LVS, Standard Cell

A High Speed, Reliable, Low Voltage SRAM for Efficient Compute

Sinan Doluca, VP of Technology, Aril, Inc.

Battery-powered devices and cloud AI/ML accelerators want the same thing: more work per watt. Running logic and SRAM on one supply, and scaling voltage and frequency together, gets the most from both. The catch is the SRAM macros: their voltage range, speed and reliability set the limit. The SRAM technology Sinan Doluca presents is built on an advanced CMOS process. It targets fast, reliable operation from 0.45 V to 0.8 V and above. Pair it with a lean microarchitecture and careful physical design, and it pushes performance per watt up in compute, graphics and AI/ML engines.

Designing High-Performance I/O for Cryogenic Applications with Silvaco Analog Custom Design Platform

Ahmad S. Mazumder / Shaikh Shams, Silvaco, Inc.

Silvaco’s analog and interface IP team designed and delivered a fully functional 2 Gbps LVDS I/O that runs at 4 K, or −269°C. At that temperature, devices stop following the characteristics engineers know from the standard −55°C to 125°C range. So the modeling team first built model files for 4 K. The IP team then designed and laid out the I/O and produced its collateral and views, all with Silvaco EDA tools.

The LVDS PHY combines a transmitter, a receiver and an accessory block, with PVT-independent performance. The transmitter drives 3.5 mA into a 100 Ω load and carries programmable equalization for board, signal integrity and power integrity compliance. The receiver has a PVT-independent 100 Ω termination between its PAD+ and PAD− terminals.

He joined Silvaco’s IP Division in 2019 and, as a Director of Engineering, leads development and customer support across its analog and interface cores. Before that he spent 28 years at SoC companies, Intel, Broadcom and C-Cube Microsystems among them. His work there covered DDR, high-speed SerDes, interfaces, ESD, and quality and reliability. Master’s in VLSI semiconductor design, City University of New York; bachelor’s in electrical and electronic engineering, Bangladesh University of Engineering and Technology.
A staff engineer at Silvaco since 2020, he develops the company’s analog and interface cores. His previous 22 years took him to Intel, GlobalFoundries and Dialog Semiconductor. There he worked on voltage regulators, high-speed SerDes, interfaces, and AMS design and verification. MS in ECE, University of Arizona.

Products: Analog and Custom IC

Advanced Parasitics Analysis Demonstration with Viso

Ayoub HAGROU, Analog Design Engineer, STMicroelectronics

Parasitic RC networks can change how a circuit behaves, and Viso analyzes their electrical properties quickly. It works on the interconnect itself, so it narrows a problem down to the nets responsible. Its interface marks the troublesome parasitics, estimates timing and compares extracted netlists accurately. The demo runs on a real-world circuit design.
He designs analog circuits for STM32 general-purpose microcontrollers in STMicroelectronics’ MDG division.

Themes at SURGE EMEA 2023

SiC short-circuit defects, p-GaN activation, GaN device design at FBH and power FET SPICE models

The Victory update, TCAD models as manufacturing twins, and Kepler’s beyond-CMOS memories

MRAM, RRAM, Micron’s memory modeling and a low-voltage SRAM from Aril

The design tools update, Tower’s flow qualification, the 4 K LVDS I/O and Viso on parasitics

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Events

Tower Semiconductor's TGS USA symposium, November 17, 2026, is among the next stops

Webinars

Next session: SPICE model extraction from TCAD data in Utmost IV