France

The paper presents briefly the software used in the Ultimate projet for HiCuM/L2 compact model scalable parameter extraction. The video explains the software functionnalities and the basic theory beyond scalable physics based compact model parameter extraction. An example is given for junction capacitances with a demo of the software operation.

ESSCIRC ESSDERC Educational Events

SMACH: a tool for bipolar model parameter extraction

hicum

indium phosphide

bipolar

parameter extraction

spice

model

The Conference on Uncertainty in Artificial Intelligence (UAI) is one of the premier international conferences on research related to knowledge representation, learning, and reasoning in the presence of uncertainty. It is supported by the [Association for Uncertainty in Artificial Intelligence (AUAI).](https://www.auai.org/)

The 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) is held fully online. We have an exciting program consisting of keynote talks by [Susan Murphy](https://www.auai.org/uai2021/program?block=A), [Eric Horvitz](https://www.auai.org/uai2021/program?block=B), [Lenka Zdeborová](https://www.auai.org/uai2021/program?block=C), [Judea Pearl](https://www.auai.org/uai2021/program?block=D) and [Ankur Moitra](https://www.auai.org/uai2021/program?block=E), a town hall meeting, peer-reviewed papers, and three workshops. The main conference is single-track and each paper is show-cased with a live component (either a live discussion and Q&A, or a live lightning talk). All papers are also featured in video presentations and in poster sessions in gather.town. The three parallel workshops on Friday allow for smaller meetings on current topics.

The walkthrough video below shows how you can navigate this site and use the different possibilities for interaction: UAIsland2021 on gather.town for posters and social interactions, the mementor platform for virtual mentoring sessions, and the chat and Q&A systems for discussions about talks and posters.

Have a great UAI 2021! 
<br>
<br>Cassio de Campos and Marloes Maathuis
<br>UAI 2021 Program Chairs
<br>uai2021programchairs@gmail.com

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A ticket is required to access this conference. Please use the provided link to register for the event.

https://auai.org/uai2021/registration

UAI 2021

The Conference on Uncertainty in Artificial Intelligence (UAI) is one of the premier international conferences on research related to knowledge representation, learning, and reasoning in the presence of uncertainty. It is supported by the [Association for Uncertainty in Artificial Intelligence (AUAI).](https://www.auai.org/)

technical paper

The aim of ESSCIRC and ESSDERC is to provide an annual European forum for the presentation and discussion of recent advances in solid-state devices and circuits.
The level of integration for system-on-chip design is rapidly increasing.

This is made available by advances in semiconductor technology. Therefore, more than ever before, a deeper interaction among technologists, device experts, IC designers, and system designers is necessary. ESSCIRC and ESSDERC are governed by a common Steering Committee and share Plenary Keynote Presentations and Joint Sessions bridging both device and circuit communities.

Highlights:
* 3 joint keynote presentations
* 3 keynote presentations ESSCIRC
* 3 keynote presentations ESSDERC
* Invited papers with overall coverage of all aspects of advanced devices and circuits
* Presentation of IEEE and ESSCIRC/ESSDERC Awards
* Educational Events

JOINT PLENARY talks live broadcast: September 13, 2021<br>
ESSCIRC and ESSDERC KEYNOTE talks live broadcast: September 15, 2021<br>
LIVE Q&A INTERACTIVE sessions for all Conference Technical sessions: September 14 – 16 – 17, 2021<br>
LIVE Q&A INTERACTIVE sessions for all Educational Events: September 20-21-22, 2021<br>
(on demand videos available from September 6 until November 30, 2021)

**Please see here for the [ESSCIRC Guide](https://drive.google.com/file/d/10dghzuv4aQBty4QfTIY9Q8hXyqsue8Le/view?usp=sharing), [ESSDERC Guide](https://drive.google.com/file/d/10dx9y2tm9cHPDa4upNUYjfXCf44aPry5/view?usp=sharing), and the [Program at a Glance](https://drive.google.com/file/d/10eU0OLTXEpiNzI5hkqv4mSr43T8cedPP/view?usp=sharing)**

Please register for educational events at the following link: https://www.registerme.eu/event/esscirc-essderc-2021/

Please register for the ESSCIRC/ESSDERC Educational Events to join the event.

The Educational Events of ESSCIRC ESSDERC 2021. 

This tutorial presentation overviews power side-channel leakages and attacks on integrated circuit chips featuring cryptographic cores. The knowledge are linked among on-board electromagetic measurements, on-chip voltage monitoring, and full-system level power noise simulation techniques for the in-depth understanding of power side-channel leakage problems.

Side-channel Leakages, Attacks and Simulation for Hardware Security

Some Insights in Automated Netlist Reverse Engineering

System-on-Chip platforms have been increasingly extended with trusted computing functionality to provide strong protection for sensitive software applications through enclaves that only require trust in the hardware and minimal software components. However, the deployed enclave architectures are still suffering from various shortcomings such as the lack of secure I/O, or being vulnerable to side-channel attacks. Thus, recent research works propose new enclave architectures with more comprehensive threat models and advanced security features. A majority of these solutions is being developed on the open RISC-V architecture. In this paper, we present a brief overview of the RISC-V-based enclave architectures, discuss their features, limitations and open challenges.

In Hardware We Trust? From TPM to Enclave Computing on RISC-V

Electro Magnetic (EM) attacks: passive side-channel and active fault attacks

InP DHBTs are well known for their capability to provide both high cutoff frequencies together with high breakdown voltage. III-V Lab has developed for several years very high-speed and high swing integrated circuits based on this technology. In this presentation, we will focus on the technological features of present 0.7-μm InP/GaInAs DHBT exhibiting around 400-GHz fT and fMAX, as well as a breakdown voltage above 4.5 V and a high dissipated power above 35 mW at peak fT. The relaxed emitter width enables to work at moderate current densities and ensure a very high fabrication yield and performance homogeneity on 3’’ wafer. More compact 0.5-µm DHBT and circuit oriented device generation allowing above 500 GHz fmax is also presented. We will demonstrate that our technology is also compatible with the fabrication of GaAsSb-based InP DHBT and a comparison of the key figures of merits between Type-I and Type-II InP DHBTs fabricated in a same process will be presented.

InP DHBT technology at III-V Lab

InP DHBT technologies are well established for high data rates at the III-V Lab in France and as a foundry at Teledyne in US. FBH has developed over the past years three InP DHBT technologies for high performance communications and sensing applications, with particular view on signal generation and amplification, as well as signal conversion. This presentation will provide details on the achieved results in the three InP DHBT technologies at FBH. The most prominent technology is the transferred substrate (TS) InP DHBT technology at FBH, where the host InP substrate is removed and the MMIC is realized on an eligible substrate of choice. With this technology, FBH has achieved 530 GHz cut-off frequency with a breakdown voltage of > 4 V. Using the TS InP DHBT process FBH has developed an InP-on-BiCMOS process, which is unique worldwide and which combines the advantages of high complexity of SiGe BiCMOS circuits with the performance capabilities of InP technology. Signal generation with integrated PLL synthesis has been demonstrated with this technology up to 300 GHz. Also highly compact front-end circuits for radar applications have been published. More recently, FBH has developed a robust triple-mesa MMIC process based on InP DHBT devices with cut-off frequencies beyond 300 GHz. The advantages and challenges of all three process will be discussed and evaluated during the talk

InP DHBT technologies at FBH

“Type-II” InP/GaAsSb/InP Double Heterostructure Bipolar Transistors (DHBTs) with maximum oscillation frequencies fMAX = 1 THz will be described.

The transistors use a 20-nm-thick composition- and impurity- graded GaAsSb base and a 125-nm thick Si-doped InP collector. The THz fMAX figure-of-merit is achieved by optimizing lateral scaling: the emitter width is 150 nm and the base contact is undercut down to 50 nm to match the base contact electrical transfer length. The (0.15 × 7.5) µm2 devices feature a maximum DC current gain β = 14 and a common emitter breakdown voltage BVCEO = 5.05 V. Performance figures-of-merit will be contrasted across technologies –as it turns out, InP/GaAsSb DHBTs offer advantages in efficiency, linearity and noise that combine favorably for a variety or analog and digital circuits.

The influence of self-heating on output power properties in 94 GHz load-pull will be discussed, highlighting the importance of thermal management in achieving ultimate device performance.

Current work is under way toward a new process architecture: first results will be shown if devices can be successfully implemented.

THz InP/GaAsSb DHBTs

A multiscale TCAD model is introduced in the presentation to investigate the intrinsic physical properties of type-II DHBTs. The simulation environment is composed of a two-dimensional hydrodynamic model and an one-dimensional full-band atomistic quantum transport solver. After careful calibration, good agreements between simulations and experiments have been obtained in both the DC and AC characteristics. Moreover, the transport properties of the device have been investigated in the ballistic and dissipative case. Last but not least, the performance of agreesively down-scaled transistors has been simulated to shed light on the realization of transistors towards and beyond 1 THz.

Multi-Scale Modeling of Type-II DHBTs: from Bandstructure to Self-Heating Effects

While InP heterojunction bipolar transistor technologies show continuous improvement in terms of RF performances, the accurate characterization of these THz transistors is crucial to assess the cut-off frequencies as well as to precisely extract and validate the device compact model, thus enabling millimeter and sub-millimeter-wave IC design. On-wafer measurements are particularly difficult beyond 110 GHz since unwanted parasitic effects become predominant and may mask the intrinsic behavior of the nanoscale device. A such high frequencies, two strategies may be adopted and combined in order to perform accurate on-wafer device measurements at submillimeter-wave frequencies: i) optimizing the test structures’ design in order to minimize the parasitics, ii) developping on-wafer calibration standards on the same substrate as the device to characterize. Coupled with electromagnetic simulation for the test structures design optimization and the measurement's validation, these strategies proved to be efficient for the characterization of InP passive devices up to 500 GHz and InP DHBT up to 330 GHz.

On-Wafer TRL Calibration Kit Design for InP Technologies Characterization Up To 500 GHz

To meet the prerequisites of monolithic indium phosphide based integrated terahertz (THz) technologies that are capable of achieving beyond-5G wireless communications system, a single computationally efficient circuit design tool is essential. Through the implementation of accurate and SPICE-compatible compact models and development of associated process design kits (PDK) for InP double heterojunction bipolar transistors (DHBTs), we demonstrate that next generations of cutting-edge high speed electronic systems will benefit from (i) dedicated parameter extraction procedure,(ii) validation of model parameter set against on-wafer high-frequency measurements and deembedding methods using dedicated test structures in the beyond 110 GHz range,(iii) extrapolation of key figures of merits to scaled device dimensions leveraging a scalable model card.

For the parameter extraction procedure, we investigate the bias, temperature, and frequency dependence of two III-V double heterojunction bipolar transistors technologies based on InGaAs/InP and GaAsSb/InP processes, using a HiCuM/L2 compact model-based multi-geometry scalable parameter extraction methodology. Very good agreement between the model simulations and experimental data is demonstrated. Transistor currents and junction capacitances show very good scaling, thereby allowing the separation of intrinsic and peripheral effects. 

Since thermal management is more critical in III-V technologies compared to Si-based ones, especially from the reliability point of view, for a more accurate description of electrothermal effects in InP HBTs, a new scalable model for the thermal impedance of III-V DHBTs that has been developed based on the physics of heat diffusion within the HBT architecture. The heat flow through both the emitter metal layers and toward the substrate are taken into account for the model development. The model constitutes of individual thermal contributions of the different regions of the intrinsic device and metal layers. On-wafer low-frequency S-parameters measurements have been performed on several device geometries to study the device dynamic self-heating. The model has been validated against the measurements showing good accuracy and scalability. Time-domain pulse measurements have also been performed to correlate with the frequency domain S-parameter measurements. Moreover, accuracy of the scalable model card has been validated against measurements up to 330 GHz on the InP DHBTs leveraging on-wafer measurements on passive devices (open/short) up to 500 GHz, achieved through TRL calibration and E-M simulation of designed test-structures. Finally, prediction of future III-V HBT technologies figures-of-merit for scaled device dimensions of a state-of-the-art InP DHBT is performed by using the generated scalable model card.

SMACH: a tool for bipolar model parameter extraction

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SMACH: a tool for bipolar model parameter extraction

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Next from ESSCIRC ESSDERC Educational Events

Side-channel Leakages, Attacks and Simulation for Hardware Security

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Stochastic Model for Sunk Cost Bias

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PRESENTATIONS

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COMPANY

RESOURCES

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