Publications by Guilherme Migliato Marega

Polarization-Dependent Plasmon-Induced Doping and Strain Effects in MoS 2 Monolayers on Gold Nanostructures

Andras Kis, Zhenyu Wang, Guilherme Migliato Marega

Monolayers of transition-metal dichalcogenides, such as MoS 2 , have attracted significant attention for their exceptional electronic and optical properties, positioning them as ideal candidates for advanced optoelectronic applications. Despite their stron ...

American Chemical Society (ACS)2025

Electrically tunable giant Nernst effect in two-dimensional van der Waals heterostructures

Andras Kis, Guilherme Migliato Marega, Zhe Sun, Gabriele Pasquale

The Nernst effect, a transverse thermoelectric phenomenon, has attracted significant attention for its potential in energy conversion, thermoelectrics and spintronics. However, achieving high performance and versatility at low temperatures remains elusive. ...

2024

A large-scale integrated vector–matrix multiplication processor based on monolayer molybdenum disulfide memories

Andras Kis, Aleksandra Radenovic, Zhenyu Wang, Guilherme Migliato Marega, Mukesh Kumar Tripathi, Gabriele Pasquale

Data-driven algorithms—such as signal processing and artificial neural networks—are required to process and extract meaningful information from the massive amounts of data currently being produced in the world. This processing is, however, limited by the t ...

2023

2D Nanosystems: Applications of 2D Semiconductors for In-Memory Computing

Guilherme Migliato Marega

Machine learning and data processing algorithms have been thriving in finding ways of processing and classifying information by exploiting the hidden trends of large datasets. Although these emerging computational methods have become successful in today's ...

EPFL2023

How to Achieve Large-Area Ultra-Fast Operation of MoS 2 Monolayer Flash Memories?

Andras Kis, Aleksandra Radenovic, Yanfei Zhao, Zhenyu Wang, Guilherme Migliato Marega, Mukesh Kumar Tripathi, Hyungoo Ji, Asmund Kjellegaard Ottesen

Memory devices have returned to the spotlight due to increasing interest in using in-memory computing architectures to make data-driven algorithms more energy-efficient. One of the main advantages of this architecture is the efficient performance of vector ...

2023

Substitutional p‐type Doping in NbS2‐MoS2 Lateral Heterostructures Grown by MOCVD

Andras Kis, Aleksandra Radenovic, Yanfei Zhao, Zhenyu Wang, Guilherme Migliato Marega, Mukesh Kumar Tripathi, Hyungoo Ji

Wiley2023

Impact of Interface Traps in Floating-Gate Memory Based on Monolayer MoS2

Andras Kis, Guilherme Migliato Marega

Two-dimensional materials (2DMs) have found potential applications in many areas of electronics, such as sensing, memory systems, optoelectronics, and power. Despite an intense experimental work, the literature is lacking of accurate modeling of nonvolatil ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Low-Power Artificial Neural Network Perceptron Based on Monolayer MoS2

Andras Kis, Aleksandra Radenovic, Zhenyu Wang, Guilherme Migliato Marega, Mukesh Kumar Tripathi

Machine learning and signal processing on the edge are poised to influence our everyday lives with devices that will learn and infer from data generated by smart sensors and other devices for the Internet of Things. The next leap toward ubiquitous electron ...

2022

Electrical control of glass-like dynamics in vanadium dioxide for data storage and processing

Andras Kis, Andreas Schueler, Anna Krammer, Elison de Nazareth Matioli, Reza Soleiman Zadeh Ardebili, Mohammad Samizadeh Nikooytabalvandani, Philip Johannes Walter Moll, Guilherme Migliato Marega

Metal–oxide–semiconductor junctions are the building blocks of modern electronics and can provide a variety of functionalities, from memory to computing. The technology, however, faces constraints in terms of further miniaturization and compatibility with ...

2022

Superconducting 2D NbS2 Grown Epitaxially by Chemical Vapor Deposition

Andras Kis, Aleksandra Radenovic, Yanfei Zhao, Michal Daniel Macha, Cheol Yeon Cheon, Zhenyu Wang, Guilherme Migliato Marega, Mukesh Kumar Tripathi, Hyungoo Ji

Metallic two-dimensional (2D) transition metal dichalcogenides (TMDCs) are attracting great attention because of their interesting low-temperature properties such as superconductivity, magnetism, and charge density waves (CDW). However, further studies and ...

2021

Logic-in-memory based on an atomically thin semiconductor

Andras Kis, Aleksandra Radenovic, Yanfei Zhao, Ahmet Avsar, Zhenyu Wang, Guilherme Migliato Marega, Mukesh Kumar Tripathi

The growing importance of applications based on machine learning is driving the need to develop dedicated, energy-efficient electronic hardware. Compared with von Neumann architectures, which have separate processing and storage units, brain-inspired in-me ...

2020

Self-sensing, tunable monolayer MoS2 nanoelectromechanical resonators

Andras Kis, Sajedeh Manzeli, Dumitru Dumcenco, Guilherme Migliato Marega

Excellent mechanical properties and the presence of piezoresistivity make single layers of transition metal dichalcogenides (TMDCs) viable candidates for integration in nanoelectromechanical systems (NEMS). We report on the realization of electromechanical ...

Nature Research2019