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A fundamental design rule that nature has developed for biological machines is the intimate correlation between motion and function. One class of biological machines is molecular motors in living cells, which directly convert chemical…

Biological Physics · Physics 2021-05-11 Na Liu

Intercalation of drug molecules into synthetic DNA nanostructures formed through self-assembled origami has been postulated as a valuable future method for targeted drug delivery. This is due to the excellent biocompatibility of synthetic…

Legged machines are becoming increasingly agile and adaptive but they have so far lacked the morphological diversity of legged animals, which have been rearranged and reshaped to fill millions of niches. Unlike their biological…

Robotics · Computer Science 2026-03-02 Chen Yu , David Matthews , Jingxian Wang , Jing Gu , Douglas Blackiston , Michael Rubenstein , Sam Kriegman

Many forms of programmable matter have been proposed for various tasks. We use an abstract model of self-organizing particle systems for programmable matter which could be used for a variety of applications, including smart paint and…

Emerging Technologies · Computer Science 2017-10-24 Alexandra Porter , Andréa W. Richa

Most binary superlattices created using DNA functionalization or other approaches rely on particle size differences to achieve compositional order and structural diversity. Here we study two-dimensional (2D) assembly of DNA-functionalized…

Soft Condensed Matter · Physics 2017-03-13 Minseok Song , Yajun Ding , Hasan Zerze , Mark A. Snyder , Jeetain Mittal

Object manipulation is a fundamental challenge in robotics, where systems must balance trade-offs among manipulation capabilities, system complexity, and throughput. Distributed manipulator systems (DMS) use the coordinated motion of…

The field of DNA nanotechnology has made it possible to assemble, with high yields, different structures that have actionable properties. For example, researchers have created components that can be actuated. An exciting next step is to…

Machine Learning · Computer Science 2021-02-01 Emma Benjaminson , Rebecca E. Taylor , Matthew Travers

Deployable polyhedrons can transform between Platonic and Archimedean polyhedrons to meet the demands of various engineering applications. However, the existing design solutions are often with multiple degrees of freedom and complicated…

Robotics · Computer Science 2024-03-07 Yuanqing Gu , Yan Chen

Inspired by the effectiveness of genetic algorithms and the importance of synthesizability in molecular design, we present SynGA, a simple genetic algorithm that operates directly over synthesis routes. Our method features custom crossover…

Machine Learning · Computer Science 2026-03-03 Alston Lo , Connor W. Coley , Wojciech Matusik

Kirigami, an ancient paper cutting art, offers a promising strategy for 2D-to-3D shape morphing through cut-guided deformation. Existing kirigami designs for target 3D curved shapes rely on intricate cut patterns in thin sheets, making the…

Applied Physics · Physics 2022-03-02 Yaoye Hong , Yinding Chi , Yanbin Li , Yong Zhu , Jie Yin

This work harnesses interpretable machine learning methods to address the challenging inverse design problem of origami-inspired systems. We show that a decision tree-random forest method is particularly suitable for fitting origami…

Soft Condensed Matter · Physics 2022-11-15 Yi Zhu , Evgueni T. Filipov

We present a simple yet effective method for structure prediction of two-dimensional structures. The method is based on a combination of neural networks and evolutionary techniques. It allows finding pristine 2D structures as well as…

Materials Science · Physics 2020-05-15 K. Zberecki

We present an additive approach for the inverse design of kirigami-based mechanical metamaterials by focusing on the empty (negative) spaces instead of the solid tiles. By considering each negative space as a four-bar linkage, we identify a…

Soft Condensed Matter · Physics 2023-05-29 Levi H. Dudte , Gary P. T. Choi , Kaitlyn P. Becker , L. Mahadevan

Given a single image of a general object such as a chair, could we also restore its articulated 3D shape similar to human modeling, so as to animate its plausible articulations and diverse motions? This is an interesting new question that…

Computer Vision and Pattern Recognition · Computer Science 2022-07-07 Ji Yang , Xinxin Zuo , Sen Wang , Zhenbo Yu , Xingyu Li , Bingbing Ni , Minglun Gong , Li Cheng

In this paper we present a model containing modifications to the Signal-passing Tile Assembly Model (STAM), a tile-based self-assembly model whose tiles are capable of activating and deactivating glues based on the binding of other glues.…

Emerging Technologies · Computer Science 2022-03-30 Andrew Alseth , Daniel Hader , Matthew J. Patitz

Materials that are lightweight yet exhibit superior mechanical properties are of compelling importance for several technological applications that range from aircrafts to household appliances. Lightweight materials allow energy saving and…

Applied Physics · Physics 2022-06-02 R. S. Ambekar , B. Kushwaha , P. Sharma , F. Bosia , M. Fraldi , N. Pugno , C. S. Tiwary

The present work provides a new approach to evolve ligand structures which represent possible drug to be docked to the active site of the target protein. The structure is represented as a tree where each non-empty node represents a…

Neural and Evolutionary Computing · Computer Science 2016-11-15 Avishek Ghosh , Arnab Ghosh , Arkabandhu Chowdhury , Jubin Hazra

Electro-thermally actuated origami provides a novel method for creating 3-D systems with advanced morphing and functional capabilities. However, it is currently difficult to simulate the multi-physical behavior of such systems because the…

Robotics · Computer Science 2022-04-14 Yi Zhu , Evgueni T. Filipov

This study starts from the counter-intuitive question of how we can render a conventional stiff, non-stretchable and even brittle material conformable so that it can fully wrap around a curved surface, such as a sphere, without failure.…

Computational Geometry · Computer Science 2018-12-31 Yu-Ki Lee , Zhonghua Xi , Young-Joo Lee , Yun-Hyeong Kim , Yue Hao , Young-Chang Joo , Changsoon Kim , Jyh-Ming Lien , In-Suk Choi

We propose a probabilistic framework for modelling and exploring the latent structure of relational data. Given feature information for the nodes in a network, the scalable deep generative relational model (SDREM) builds a deep network…

Machine Learning · Statistics 2019-11-06 Xuhui Fan , Bin Li , Scott Anthony Sisson , Caoyuan Li , Ling Chen
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