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Soft modular robots enable more flexibility and safer interaction with the changing environment than traditional robots. However, it has remained challenging to create deformable connectors that can be integrated into soft machines. In this…

Robotics · Computer Science 2020-04-13 Yu Alexander Tse , Shuai Liu , Yang Yang , Michael Yu Wang

This paper addresses the problem of tracking in-plane waves from image sequences using periodic surface patterns. Wave-induced deformation is modeled as a spatial phase modulation of a periodic carrier. We propose ADOPT (Analytical…

Signal Processing · Electrical Eng. & Systems 2026-05-20 Jalal Jouidi , Florent Chatelain , Lucie Bailly , Pierre Granjon , Nicolas Le Bihan , Stefan Catheline

Nowadays, Interior Permanent Magnet Synchronous Motors (IPMSMs) are taken into attention in the industry owing to their advantages. Moreover, in many cases, performing static tests is not enough, and investigating electric machines under…

Systems and Control · Electrical Eng. & Systems 2024-11-25 Ali Amini , MohammadSadegh KhajueeZadeh , Abolfazl Vahedi

Soft elastic composite materials containing particulate rigid inclusions in a soft elastic matrix are candidates for developing soft actuators or tunable damping devices. The possibility to reversibly drive the rigid inclusions within such…

We use Monte Carlo simulations to examine the simplest model of an ionic liquid, called the restricted primitive model, at a metal surface. We find that at moderately low temperatures the capacitance of the metal/ionic liquid interface is…

Chemical Physics · Physics 2010-11-19 M. S. Loth , Brian Skinner , B. I. Shklovskii

Fundamental understanding of ionic transport at the nanoscale is essential for developing biosensors based on nanopore technology and new generation high-performance nanofiltration membranes for separation and purification applications. We…

This paper provides a detailed review on applications of ionic electroactive polymer (i-EAP) soft actuators as active elements of microfluidic micropumps, microvalves, and micromixers. The related works that have so far been presented by…

Applied Physics · Physics 2019-04-16 Mohsen Annabestani , Mahdi Fardmanesh

The progress in understanding the behavior of glassy mixed ionic conductors within the concept of the defect model for the mixed mobile ion effect (V. Belostotsky, J. Non-Cryst. Solids 353 (2007) 1078) is reported. It is shown that in a…

Materials Science · Physics 2015-05-13 Vladimir Belostotsky

Inspired by a recently constructed commuting-projector Hamiltonian for a two-dimensional (2D) time-reversal-invariant topological superconductor [Wang et al., Phys. Rev. B 98, 094502 (2018)], we introduce a commuting-projector model that…

Strongly Correlated Electrons · Physics 2019-10-09 Jun Ho Son , Jason Alicea

Differentiable physics simulation provides an avenue to tackle previously intractable challenges through gradient-based optimization, thereby greatly improving the efficiency of solving robotics-related problems. To apply differentiable…

Robotics · Computer Science 2025-04-08 Min Liu , Gang Yang , Siyuan Luo , Lin Shao

We develop a computational method based on Dissipative Particle Dynamics (DPD) that introduces solvent hydrodynamic interactions to coarse-grained models of solutes, such as ions, molecules, or polymers. DPD-solvent (DPDS) is a fully…

Soft Condensed Matter · Physics 2024-05-24 Tine Curk

We performed large-scale molecular dynamics simulations based on a machine-learning force field (MLFF) to investigate the Li-ion transport mechanism in cation-disordered Li$_3$TiCl$_6$ cathode at six different temperatures, ranging from…

Materials Science · Physics 2024-06-19 Selva Chandrasekaran Selvaraj , Volodymyr Koverga , Anh T. Ngo

Force-aware grasping is an essential capability for most robots in practical applications. Especially for compliant grippers, such as Fin-Ray grippers, it still remains challenging to build a bidirectional mathematical model that mutually…

Robotics · Computer Science 2023-06-21 Huixu Dong , Ziyi Zheng , Haotian Guo , Sihao Yang , Chen Qiu , Jiansheng Dai , I-Ming Chen

Silicon carbide (SiC) is an essential material for next generation semiconductors and components for nuclear plants. It's applications are strongly dependent on its thermal conductivity, which is highly sensitive to microstructures.…

Materials Science · Physics 2021-10-22 Baoqin Fu , Yandong Sun , Linfeng Zhang , Han Wang , Ben Xu

Deep generative models have shown promise for modeling metal-organic frameworks (MOFs), but existing approaches (1) rely on coarse-grained representations that assume fixed bond lengths and angles, and (2) neglect the MOF-adsorbate…

Materials Science · Physics 2026-02-10 Nayoung Kim , Honghui Kim , Sihyun Yu , Minkyu Kim , Seongsu Kim , Sungsoo Ahn

Predictive computational modeling of polymer materials is necessary for the efficient design of composite materials and the corresponding processing methods. Molecular dynamics (MD) modeling is especially important for establishing accurate…

Materials Science · Physics 2021-11-23 G. M. Odegard , S. U. Patil , P. Deshpande , K. Kanhaiya , J. Winetrout , H. Heinz , S. Shah , M. Maiaru

Conventional soft pneumatic actuators, typically based on hollow elastomeric chambers, often suffer from small structural support and require costly geometry-specific redesigns for multimodal functionality. Porous materials such as foam,…

Robotics · Computer Science 2025-12-16 Canqi Meng , Weibang Bai

Soft actuators allow to transform external stimuli to mechanical deformations. Because of their deformational response to external magnetic fields, magnetic gels and elastomers represent ideal candidates for such tasks. Mostly, linear…

Soft Condensed Matter · Physics 2020-07-01 Lukas Fischer , Andreas M. Menzel

Accurate frictional contact is critical in simulating the assembly of rod-like structures in the practical world, such as knots, hairs, flagella, and more. Due to their high geometric nonlinearity and elasticity, rod-on-rod contact remains…

Graphics · Computer Science 2024-02-21 Dezhong Tong , Andrew Choi , Jungseock Joo , M. Khalid Jawed

Solving partial differential equations (PDEs) by learning the solution operators has emerged as an attractive alternative to traditional numerical methods. However, implementing such architectures presents two main challenges: flexibility…

Machine Learning · Computer Science 2023-12-19 Seungjun Lee , Taeil Oh