Publications by Zhenyu Wang | EPFL Graph Search

Related publications (16)

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

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

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

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

Emilio Perez, Thomas L. Sterling, Jiahui Fan, Mateusz Adam Dabrowski, Ian Smith, Matthias Finger, Jian Zhao, Jan Steggemann, Konstantin Androsov, Qian Wang, Michele De Palma, Anna Mascellani, Yi Zhang, Jian Wang, Joanna Malgorzata Wanczyk, Pedro Camilo de Oliveira e Silva, Rakesh Chawla, Myun Sik Kim, Thomas Mountford, Varun Sharma, Mirko Kovac, Shivom Sharma, Chang-Hyun Park, Jae-Woo Choi, Rahul Kumar Gupta, Hua Zhang, Mike Seidel, Joo Yeon Kim, Matteo Galli, Matthias Wolf, James Gonzalo King, Shubhajit Das, Xiaoqiang Wang, Zhenyu Wang, Xin Chen, Gabriele Grosso, Rishi Sharma, Chia-Chun Chen, Jia Liu, Jung Eung Park, Ekaterina Kuznetsova, Siyuan Wang, Mithlesh Kumar, Chenyang Wang, Xiaoxin Gao, Aman Sharma, Junyin Zhang, Subham Choudhury, Seonwoo Lee, Mingyang Liu, Davide Di Croce, Patrick Berger, Jordy Daniel Müller, Marie Jane Francine Jones, Wei-Hsiang Lin, Wanyun Xie, Hyungjun Lee, Vu Trung Tin Nguyen, Junfeng Xiao, Wanting Jin, Zeming Chen, Maria Isabel Cordero Campana, Young Min Kim, Ling Zhou, Weilin Li, Haoze He, Andrea Santoro, Thomas Ka Chung Lam, Özdemir Can Kara, Bokyoung Kim, Notash Shafiei, Shaohui Yang, Haiyuan Wang, Youngro Lee, Dong Hyun Kim, Florian Hartmann, Muhammad Awais Naeem, Lu Wang, Shailesh Mishra, Tianqi Liu, Zhuan Shi, Leyu Zhang, Yihong Chen, Changliang Li, Sudipto Sarkar, Fang Wang, Yikai Yang, Boya Wang, Guoyuan Liu, Venu Gopal Agarwal, Zihan Wu, Hong-Bin Yang, Yunzhen Yao, Chenxu Liu, Xiaowu Sun, Zihan Hu

A search is presented for high-mass exclusive diphoton production via photon-photon fusion in proton-proton collisions at root s = 13 TeV in events where both protons survive the interaction. The analysis utilizes data corresponding to an integrated lumino ...

AMER PHYSICAL SOC2024

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

Ana Clara Sampaio Pimenta, Andras Kis, Zhenyu Wang, Guilherme Migliato Marega, Riccardo Chiesa

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

Superconducting 2D NbS2 Grown Epitaxially by Chemical Vapor Deposition

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

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

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

Electrical spectroscopy of defect states and their hybridization in monolayer MoS2

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

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

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

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

Low-Power Artificial Neural Network Perceptron Based on Monolayer MoS2

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

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

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

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

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

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

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

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

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

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

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

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

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

Nature Research2023

CVD graphene contacts for lateral heterostructure MoS2 field effect transistors

Aleksandra Radenovic, Andras Kis, 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

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

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

Wiley2023