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Rotation equivariance is a desirable property in many practical applications such as motion forecasting and 3D perception, where it can offer benefits like sample efficiency, better generalization, and robustness to input perturbations.…

Computer Vision and Pattern Recognition · Computer Science 2023-01-26 Serge Assaad , Carlton Downey , Rami Al-Rfou , Nigamaa Nayakanti , Ben Sapp

Atomically thin van der Waals materials provide a highly tunable platform for exploring emergent quantum phenomena in solid state systems. Due to their remarkable mechanical strength, one enticing tuning knob is strain. However, the weak…

The demand for high-performance semiconductors in electronics and optoelectronics has prompted the expansion of low-dimensional materials research to ternary compounds. However, photodetectors based on 2D ternary materials usually suffer…

Mesoscale and Nanoscale Physics · Physics 2022-03-24 Weili Zhen , Xi Zhou , Shirui Weng , Wenka Zhu , Changjin Zhang

Vertically stacking two dimensional (2D) materials can enable the design of novel electronic and optoelectronic devices and realize complex functionality. However, the fabrication of such artificial heterostructures in wafer scale with an…

Mesoscale and Nanoscale Physics · Physics 2016-01-12 Xiang Yuan , Lei Tang , Shanshan Liu , Peng Wang , Zhigang Chen , Cheng Zhang , Yanwen Liu , Weiyi Wang , Yichao Zou , Cong Liu , Nan Guo , Jin Zou , Peng Zhou , Weida Hu , Faxian Xiu

Despite a rich choice of two-dimensional materials, which exists these days, heterostructures, both vertical (van der Waals) and in-plane, offer an unprecedented control over the properties and functionalities of the resulted structures.…

Neural networks are widely adopted to solve complex and challenging tasks. Especially in high-stakes decision-making, understanding their reasoning process is crucial, yet proves challenging for modern deep networks. Feature visualization…

Computer Vision and Pattern Recognition · Computer Science 2026-02-18 Ada Gorgun , Bernt Schiele , Jonas Fischer

The human visual system is an intricate network of brain regions that enables us to recognize the world around us. Despite its abundant lateral and feedback connections, object processing is commonly viewed and studied as a feedforward…

Neurons and Cognition · Quantitative Biology 2019-10-09 Tim C Kietzmann , Courtney J Spoerer , Lynn Sörensen , Radoslaw M Cichy , Olaf Hauk , Nikolaus Kriegeskorte

Atomically-thin 2D semiconducting materials integrated into van der Waals heterostructures have enabled architectures that hold great promise for next generation nanoelectronics. However, challenges still remain to enable their full…

Reconstructing visual stimulus (image) only from human brain activity measured with functional Magnetic Resonance Imaging (fMRI) is a significant and meaningful task in Human-AI collaboration. However, the inconsistent distribution and…

Computer Vision and Pattern Recognition · Computer Science 2019-10-23 Ziqi Ren , Jie Li , Xuetong Xue , Xin Li , Fan Yang , Zhicheng Jiao , Xinbo Gao

Van der Waals heterostructures have promised the realisation of artificial materials with multiple physical phenomena such as giant optical nonlinearities, spin-to-charge interconversion in spintronics and topological carrier protection, in…

In this work, we demonstrate the suitability of Reconfigurable Ferroelectric Field-Effect- Transistors (Re-FeFET) for designing non-volatile reconfigurable logic-in-memory circuits with multifunctional capabilities. Modulation of the energy…

We theoretically demonstrate a gate-tunable superconducting spin valve effect (SVE) in a van der Waals (vdW) heterostructure composed of a monolayer superconductor (S) sandwiched between two ferromagnetic (F) monolayers (F/S/F). By…

Superconductivity · Physics 2025-12-11 A. S. Ianovskaia , G. A. Bobkov , A. M. Bobkov , I. V. Bobkova

Quantum confinement has made it possible to detect and manipulate single-electron charge and spin states. The recent focus on two-dimensional (2D) materials has attracted significant interests on possible applications to quantum devices,…

Van der Waals heterostructures (VdWHs) composed of 2D materials have attracted significant attention in recent years due to their intriguing optical properties, such as strong light-matter interactions and large intrinsic anisotropy. In…

We investigate a two-dimensional (2D) heterostructure consisting of few-layer direct bandgap ReS2, a thin h-BN layer and a monolayer graphene for application to various electronic devices. Metal-insulator-semiconductor (MIS)-type devices…

Mesoscale and Nanoscale Physics · Physics 2020-12-08 Bablu Mukherjee , Ryoma Hayakawa , Kenji Watanabe , Takashi Taniguchi , Shu Nakaharai , Yutaka Wakayama

Van der Waals (vdW) materials, including hexagonal boron nitride (hBN), are layered crystalline solids with appealing properties for investigating light-matter interactions at the nanoscale. hBN has emerged as a versatile building block for…

Ferroelecticity, one of the keys to realize nonvolatile memories owing to the remanent electric polarization, has been an emerging phenomenon in the two-dimensional (2D) limit. Yet the demonstrations of van der Waals (vdW) memories using 2D…

Van der Waals (vdW) materials are becoming increasingly popular in scientific and industrial applications because of their unique mixture of record electronic, optical, and mechanical properties. However, nanostructuring of vdW materials is…

Multilayer van der Waals (vdWs) heterostructures assembled by diverse atomically thin layers have demonstrated a wide range of fascinating phenomena and novel applications. Understanding the interlayer coupling and its correlation effect is…

Mesoscale and Nanoscale Physics · Physics 2017-06-26 Liang Xu , Wei-Qing Huang , Wangyu Hu , Bing-Xin Zhou , Anlian Pan , Gui-Fang Huang

Conventional frame-based camera is not able to meet the demand of rapid reaction for real-time applications, while the emerging dynamic vision sensor (DVS) can realize high speed capturing for moving objects. However, to achieve visual…

Image and Video Processing · Electrical Eng. & Systems 2019-07-23 Lin Zhu , Siwei Dong , Tiejun Huang , Yonghong Tian