Guilherme Migliato Marega

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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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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. ...

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 ...

Guilherme Migliato Marega

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

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

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

Logic-in-memory based on an atomically thin semiconductor

Low-Power Artificial Neural Network Perceptron Based on Monolayer MoS2

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

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

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

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