Scalability of ultra-thin-body and BOX InGaAs MOSFETs on silicon. - Lukas Czornomaz; Nicolas Daix; Pranita Kerber; Kevin Lister; Daniele Caimi; Christophe Rossel; Marilyne Sousa; Emanuele Uccelli; Jean Fompeyrine (ESSDERC, 2013)

Barium-titanate integrated with silicon photonics for ultra-efficient electro-optical performance. - Stefan Abel; Thilo Stoferle; Chiara Marchiori; Daniele Caimi; Lukas Czornomaz; Marta D. Rossell; Rolf Erni; Marilyne Sousa; Heinz Siegwart; Bert J. Offrein; Jean Fompeyrine (ECOC, 2015)

Hybrid InGaAs/SiGe CMOS circuits with 2D and 3D monolithic integration. - V. Deshpande; Herwig Hahn; V. Djara; E. O'Connor; Daniele Caimi; Marilyne Sousa; Jean Fompeyrine; L. Czornomaz (ESSDERC, 2017)

Microstructure and ferroelectricity of barium titanate thin films on Si for integrated photonics. - Kristy J. Kormondy; Alexander A. Demkov; Youri Popoff; Marilyne Sousa; Felix Eltes; Daniele Caimi; Chiara Marchiori; Jean Fompeyrine; Stefan Abel (ICICDT, 2017)

CMOS-embedded lasers for advanced silicon photonic devices. - Marc Seifried; Herwig Hahn; Gustavo Villares; Folkert Horst; Daniele Caimi; Charles Caer; Yannick Baumgartner; Marilyne Sousa; Roger Dangel; Lukas Czornomaz; Bert J. Offrein (ICTON, 2017)

Monolithic Integration of III -V on silicon for photonic and electronic applications. - Svenja Mauthe; Heinz Schmid; B. Mayer; S. Wirths; Clarissa Convertino; Yannick Baumgartner; Lukas Czornomaz; Marilyne Sousa; P. Staudinger; Heike Riel; Kirsten E. Moselund (DRC, 2018)

InGaAs FinFETs 3D Sequentially Integrated on FDSOI Si CMOS with Record Perfomance. - Clarissa Convertino; Cezar B. Zota; Daniele Caimi; Marilyne Sousa; L. Czornomaz (ESSDERC, 2018)

High-Performance InGaAs-on-Silicon Technology Platform For Logic and RF Applications. - Cezar B. Zota; Clarissa Convertino; Marilyne Sousa; Daniele Caimi; Kirsten E. Moselund; Lukas Czornomaz (BCICTS, 2019)

In-plane monolithic integration of scaled III-V photonic devices. - N. Vico Triviño; Svenja Mauthe; M. Scherrer; Preksha Tiwari; Pengyan Wen; Marilyne Sousa; Heinz Schmid; Kirsten E. Moselund (ECOC, 2020)

Ultra-Thin III-V Photodetectors Epitaxially Integrated on Si with Bandwidth Exceeding 25 GHz. - Svenja Mauthe; Yannick Baumgartner; Saurabh Sant; Qian Ding; Marilyne Sousa; Lukas Czornomaz; Andreas Schenk; Kirsten E. Moselund (OFC, 2020)

A back-end, CMOS compatible ferroelectric Field Effect Transistor for synaptic weights. - Mattia Halter; Laura Bégon-Lours; Valeria Bragaglia; Marilyne Sousa; Bert Jan Offrein; Stefan Abel; Mathieu Luisier; Jean Fompeyrine (CoRR, 2020)

Learning-based Defect Recognition for Quasi-Periodic Microscope Images. - Nik Dennler; Antonio Foncubierta-Rodríguez; Titus Neupert; Marilyne Sousa (CoRR, 2020)

Equivalent electrical circuit modelling of a TaOx/HfOx based RRAM with optimized resistance window and multilevel states. - Tommaso Stecconi; Youri Popoff; Roberto Guido; Mattia Halter; Donato Francesco Falcone; Antonio La Porta; Folkert Horst; Laura Bégon-Lours; Marilyne Sousa; Bert J. Offrein; Valeria Bragaglia (DRC, 2022)

Role of Conductive-Metal-Oxide to HfOx, Interfacial Layer on the Switching Properties of Bilayer TaOx/HfOx ReRAM. - Tommaso Stecconi; Youri Popoff; Roberto Guido; Donato Francesco Falcone; Mattia Halter; Marilyne Sousa; Folkert Horst; Antonio La Porta; Bert J. Offrein; Valeria Bragaglia (ESSDERC, 2022)

Effect of cycling on ultra-thin HfZrO4, ferroelectric synaptic weights. - Laura Bégon-Lours; Mattia Halter; Marilyne Sousa; Youri Popoff; Diana Dávila Pineda; Donato Francesco Falcone; Zhenming Yu; Steffen Reidt; Lorenzo Benatti; Francesco Maria Puglisi; Bert Jan Offrein (Neuromorph. Comput. Eng., 2022)

Solving optimization tasks power-efficiently exploiting VO2's phase-change properties with Oscillating Neural Networks. - Olivier Maher; Nele Harnack; Giacomo Indiveri; Marilyne Sousa; Bernd Gotsmann; Siegfried F. Karg (DRC, 2023)

Highly Reproducible and CMOS-compatible VO2-based Oscillators for Brain-inspired Computing. - Olivier Maher; Roy Bernini; Nele Harnack; Bernd Gotsmann; Marilyne Sousa; Valeria Bragaglia; Siegfried F. Karg (CoRR, 2024)