Results 191 to 200 of about 58,975 (287)

Modeling and Characterization of a Self‐Sensing Soft Hydraulic Muscle

Advanced Intelligent Systems, EarlyView.
This article presents the self‐sensing soft hydraulic muscle (SSHM), a novel soft actuator capable of simultaneously sensing force and length without external sensors. A comprehensive model accurately predicts SSHM behavior, validated experimentally with minimal errors. Using propylene glycol enhances durability and reduces hysteresis.
Nhu An Phan, Phuong Linh Dao, Duc Tu Vu, The Doan Le, Sy Trung Ngo, Minh Tri Phan, T. Thang Vo‐Doan, Ke Wu, Mai Thanh Thai   +8 more
wiley   +1 more source

Quantum enhanced metrology based on flipping trajectory of cold Rydberg gases. [PDF]

Nat Commun
Wang YJ, Zhang J, Zhang ZY, Shao SY, Li Q, Chen HC, Ma Y, Han TY, Wang QF, Nan JD, Yin YM, Zhu DY, Fang QQ, Yu C, Liu X, Guo GC, Liu B, Zhang LH, Ding DS, Shi BS.   +19 more
europepmc   +1 more source

i‐Tac: Inverse Design of 3D‐Printed Tactile Elastomers with Tuneable Optical and Mechanical Properties

Advanced Intelligent Systems, EarlyView.
Inspired by the multi‐tissue architecture of the human fingertip dermis (A), this work introduces a mixture design using three PolyJet materials (AC/TM/GM) to expand the achievable elastomer property space (B). An inverse design pipeline (i‐Tac) is developed to map target optical/mechanical requirements to optimal material compositions (C), enabling ...
Wen Fan, Dandan Zhang
wiley   +1 more source

Quantum transport protected by acceleration from nonadiabaticity and dissipation. [PDF]

Nat Commun
Chakrabarti A, Ash B, Mazets I, Chen X, Kurizki G.   +4 more
europepmc   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Time Series Prediction of Open Quantum System Dynamics by Transformer Neural Networks. [PDF]

Entropy (Basel)
Wang ZW, Wu LA, Wang ZM.
europepmc   +1 more source

Electrothermally Controlled 3D‐Printed Shape Memory Polymers for Near‐Ambient Temperature Soft Robotic Applications

Advanced Intelligent Systems, EarlyView.
In this article, we develop bespoke resins for stereolithography 3D‐printing of soft‐robotic grippers that are controlled remotely by electrothermal stimulus near ambient temperatures. Turning on the electrical control, each finger can be actuated separately.
Kalyan Ghosh, Thomas Sweeney, Ji Zhang, Shaashwat Saraff, Sohini Kar‐Narayan   +4 more
wiley   +1 more source

Observation of multiple time crystals in a driven-dissipative system with Rydberg gas. [PDF]

Nat Commun
Jiao Y, Jiang W, Zhang Y, Bai J, He Y, Shen H, Zhao J, Jia S.   +7 more
europepmc   +1 more source

Equilibrium Propagation for Dissipative Dynamics

Advanced Intelligent Systems, EarlyView.
This work develops local learning rules for damped linear dynamical systems, including mechanical structures and resistor‐inductor‐capacitor (RLC) circuits, by leveraging an effective action formulation. It demonstrates how physical systems can autonomously compute gradients and learn temporal patterns, enabling applications such as sound ...
Marc Berneman, Daniel Hexner
wiley   +1 more source

Complex Time Approach to the Hamiltonian and the Entropy Production of the Damped Harmonic Oscillator. [PDF]

Entropy (Basel)
Aslani KE.
europepmc   +1 more source