Publications de Zhenyu Wang | EPFL Graph Search

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

Composition-tunable transition metal dichalcogenide nanosheets via a scalable, solution-processable method

Andras Kis, Kevin Sivula, Yanfei Zhao, Rebekah Anne Wells, Simon Nussbaum, Marina Caroline Michèle Caretti, Zhenyu Wang, Victor Carle Adrien Boureau

The alloying of two-dimensional (2D) transition metal dichalcogenides (TMDs) is an established route to produce robust semiconductors with continuously tunable optoelectronic properties. However, typically reported methods for fabricating alloyed 2D TMD na ...

Royal Soc Chemistry2024

Deterministic grayscale nanotopography to engineer mobilities in strained MoS2 FETs

Giovanni Boero, Andras Kis, Jürgen Brugger, Georg Fantner, Nicola Marzari, Norma Rivano, Zhenyu Wang, Xia Liu, Ana Conde Rubio, Berke Erbas, Mitali Banerjee, Jin Jiang, Marcos Penedo Garcia

Field-effect transistors (FETs) based on two-dimensional materials (2DMs) with atomically thin channels have emerged as a promising platform for beyond-silicon electronics. However, low carrier mobility in 2DM transistors driven by phonon scattering remain ...

Nature Research2024

CVD graphene contacts for lateral heterostructure MoS2 field effect transistors

Andras Kis, Aleksandra Radenovic, Zhenyu Wang

Intensive research has been carried out on two-dimensional materials, in particular molybdenum disulfide, towards high-performance field effect transistors for integrated circuits 1 . Fabricating transistors with ohmic contacts is a challenging task due to ...

Nature Portfolio2024

Towards Scalable Electronics: Synthetic 2D Materials for Large-Area 2D Circuit Integration

Zhenyu Wang

In the past decades, a significant increase of the transistor density on a chip has led to exponential growth in computational power driven by Moore's law. To overcome the bottleneck of traditional von-Neumann architecture in computational efficiency, effo ...

EPFL2024

Search for high-mass exclusive diphoton production with tagged protons in proton-proton collisions at √s=13 TeV

Patrick Berger, Rakesh Chawla, Ian Smith, Jung Eung Park, Thomas Mountford, Matthias Finger, Matteo Galli, Maria Isabel Cordero Campana, Xiaoqiang Wang, Jian Zhao, James Gonzalo King, Mirko Kovac, Hua Zhang, Joo Yeon Kim, Jae-Woo Choi, Pedro Camilo de Oliveira e Silva, Young Min Kim, Myun Sik Kim, Gabriele Grosso, Qian Wang, Varun Sharma, Michele De Palma, Hyungjun Lee, Chia-Chun Chen, Siyuan Wang, Özdemir Can Kara, Shivom Sharma, Jian Wang, Yi Zhang, Bokyoung Kim, Rahul Kumar Gupta, Ling Zhou, Mithlesh Kumar, Chenyang Wang, Matthias Wolf, Chang-Hyun Park, Anna Mascellani, Yikai Yang, Zhenyu Wang, Seonwoo Lee, Wei-Hsiang Lin, , , , , , , , , , , , , , , , , , , , , , , , , , , ,

Ultrathin Transistors and Circuits for Conformable Electronics

Andras Kis, Zhenyu Wang

Adapting electronics to perfectly conform to nonplanar and rough surfaces, such as human skin, is a challenging task, which could open up new applications in fields of high economic and scientific interest, ranging from health to robotics, human-machine in ...

American Chemical Society (ACS)2024

Combining thermal scanning probe lithography and dry etching for grayscale nanopattern amplification

Giovanni Boero, Arnaud Bertsch, Andras Kis, Jürgen Brugger, Georg Fantner, Zhenyu Wang, Xia Liu, Ana Conde Rubio, Berke Erbas, Mitali Banerjee, Marcos Penedo Garcia

Grayscale structured surfaces with nanometer-scale features are used in a growing number of applications in optics and fluidics. Thermal scanning probe lithography achieves a lateral resolution below 10 nm and a vertical resolution below 1 nm, but its maxi ...

Springernature2024

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

Electrical spectroscopy of defect states and their hybridization in monolayer MoS2

Andras Kis, Oleg Yazyev, Yanfei Zhao, Juan Francisco Gonzalez Marin, Ahmet Avsar, Cheol Yeon Cheon, Kristians Cernevics, Zhenyu Wang, Mukesh Kumar Tripathi, Hyungoo Ji

Defects in solids are unavoidable and can create complex electronic states that can significantly influence the electrical and optical properties of semiconductors. With the rapid progress in the integration of 2D semiconductors in practical devices, it is ...

Nature Research2023

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

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

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

Super-resolved Optical Mapping of Reactive Sulfur-Vacancies in Two-Dimensional Transition Metal Dichalcogenides

Andras Kis, Aleksandra Radenovic, Magalí Alejandra Lingenfelder, Jean Camille Benjamin Comtet, Martina Lihter, Yanfei Zhao, Michal Daniel Macha, Karla Banjac, Jing Zhang, Zhenyu Wang, Miao Zhang, Tzu-Heng Chen

Transition metal dichalcogenides (TMDs) represent a class of semiconducting two-dimensional (2D) materials with exciting properties. In particular, defects in 2D-TMDs and their molecular interactions with the environment can crucially affect their physical ...

AMER CHEMICAL SOC2021

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