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Soft deployable structures - unlike conventional piecewise rigid deployables based on hinges and springs - can assume intricate 3-D shapes, thereby enabling transformative technologies in soft robotics, shape-morphing architecture, and…

Soft Condensed Matter · Physics 2023-03-21 Leixin Ma , Mrunmayi Mungekar , Vwani Roychowdhury , M. Khalid Jawed

In materials research involving additive manufacturing (AM)-based techniques for fabrication of a wide variety of materials, the latest trend at present is to focus largely on 3D printing (3DP) of nanoceramics, which at present is highly…

Applied Physics · Physics 2023-07-11 Mainak Saha

The 3D printing technology based on digital light processing (DLP) has highlighted its powerful manufacturing capabilities for optical components. However, the printing structure obtained by DLP based down projection printing is easily…

Optics · Physics 2024-06-10 Xiaoying Lu , Hua Liu

This paper presents a novel decoder-based approach for generating manufacturable 3D structures optimized for additive manufacturing. We introduce a deep learning framework that decodes latent representations into geometrically valid,…

Computer Vision and Pattern Recognition · Computer Science 2026-01-14 Abhishek Kumar

Two-dimensional, solution-processable semiconductor materials are anticipated to be used in low-cost electronic applications, such as transistors and solar cells. Here, lead sulfide nanosheets with a lateral size of several microns are…

Materials Science · Physics 2015-07-20 Thomas Bielewicz , Sedat Dogan , Christian Klinke

Manipulation of deformable linear objects (DLOs) in constrained environments is a challenging task. This paper describes a two-layered approach for placing DLOs on a flat surface using a single robot hand. The high-level layer is a novel…

Robotics · Computer Science 2025-03-12 I. Grinberg , A. Levin , E. D. Rimon

Programmable metasurfaces promise a great potential to construct low-cost phased array systems due to the capability of elaborate modulation over electromagnetic (EM) waves. However, they are in either reflective or transmissive mode, and…

Signal Processing · Electrical Eng. & Systems 2024-12-09 Xudong Bai , Longpan Wang , Yuhua Chen , Xilong Lu , Fuli Zhang , Jingfeng Chen , Wen Chen , He-Xiu Xu

Miniaturizing nonlinear optical components is essential for integrating advanced light manipulation into compact photonic devices, enabling scalable and cost-effective applications. While monocrystalline lithium niobate thin films advance…

Microfabrication using nano- to micron-sized building blocks holds great potential for applications in next-generation electronics, optoelectronics, and advanced materials. However, traditional methods like chemical vapor deposition and…

Nanostructured palladium foams offer exciting potential for applications in diverse fields such as catalyst, fuel cell, and particularly hydrogen storage technologies. We have fabricated palladium nanowire foams using a cross-linking and…

We present a simple solution to enhance the separation ability of deterministic lateral displacement (DLD) systems by expanding the two-dimensional nature of these devices and driving the particles into size-dependent, fully…

Soft Condensed Matter · Physics 2016-04-27 Siqi Du , German Drazer

When materials are patterned in three dimensions, there exist opportunities to tailor and create functionalities associated with an increase in complexity, the breaking of symmetries, and the introduction of curvature and non-trivial…

Down-scaling device dimensions to the nanometer range raises significant challenges to traditional device design, due to potential current leakage across nanoscale dimensions and the need to maintain reproducibility while dealing with…

Mesoscale and Nanoscale Physics · Physics 2019-01-03 Zhongcan Xiao , Chuanxu Ma , Jingsong Huang , Liangbo Liang , Wenchang Lu , Kunlun Hong , Bobby G. Sumpter , An-Ping Li , J. Bernholc

Like silicon-based semiconductor devices, van der Waals heterostructures will require integration with high-K oxides. This is needed to achieve suitable voltage scaling, improved performance as well as allowing for added functionalities.…

Mesoscale and Nanoscale Physics · Physics 2018-11-13 N. Peimyoo , M. D. Barnes , J. D. Mehew , A. De Sanctis , I. Amit , J. Escolar , K. Anastasiou , A. P. Rooney , S. J. Haigh , S. Russo , M. F. Craciun , F. Withers

The integration of two-dimensional (2D) materials with photonic structures has catalyzed a wide spectrum of optical and optoelectronic applications. Conventional nanophotonic structures generally lack efficient reconfigurability and…

The shift from two- to three-dimensional structures is not only a prominent trend in nanomagnetism but also reflects a broader movement across nanotechnology as a whole. Fields such as nanoelectronics, nanophotonics, data storage are poised…

Mesoscale and Nanoscale Physics · Physics 2025-08-13 Sameh Okasha , Trevor P. Almeida

Nanophotonic devices with moir\'e superlattice is currently attracting broad interest due to the unique periodicity and high efficiency control of photons. Till now, experimental investigations mainly focus on the single layer device, i.e.,…

Optics · Physics 2025-03-07 Qing Wang , Yuhang Li , Shaofeng Wang , Shuo Cao , Xiulai Xu , Chenjiang Qian

The dynamical properties of classical fluids at pico-liter scale attract experimentally and theoretically much attention in the soft-matter and biophysics communities, due to the appearance of the microfluidics, also called 'lab-on-a-chip',…

Statistical Mechanics · Physics 2007-05-23 F. Penna , P. Tarazona

Nano-thick metallic transition metal dichalcogenides such as VS$_{2}$ are essential building blocks for constructing next-generation electronic and energy-storage applications, as well as for exploring unique physical issues associated with…

Brain-inspired hyperdimensional computing (HDC) has been recently considered a promising learning approach for resource-constrained devices. However, existing approaches use static encoders that are never updated during the learning…

Machine Learning · Computer Science 2023-04-13 Junyao Wang , Sitao Huang , Mohsen Imani