Results 51 to 60 of about 6,266 (261)
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
The opto-electric servomechanism (OES) plays an important role in obtaining clear and stable images from airborne infrared detectors. However, the inherent torque disturbance and the noisy speed signal cause a significant decline in the inertial ...
Chao Qi +3 more
doaj +1 more source
Programming of Complex Magnetic Profiles Enforced by 4D Printed Magnetic LCE Actuators
A 4D printing‐enabled magnetic programming strategy is introduced in which thermally actuated liquid crystal elastomers are magnetized in their target shape to encode complex three‐dimensional magnetic profiles. The resulting actuators achieve multistate shape morphing and programmable locomotion under low magnetic fields, without requiring specialized
Erick R. Espíndola‐Pérez +5 more
wiley +1 more source
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao +3 more
wiley +1 more source
Atomic‐Scale Detection of Néel Vector Switching in the Single‐Layer A‐Type Antiferromagnet Cr2S3‐2D
Interfacial electron donation from graphene redistributes charge within single‐layer Cr2S3‐2D, preferentially accumulating at the lower Cr/S plane. The resulting minute magnetic imbalance lifts the equivalence of the two magnetic sublayers, enabling atomic‐resolution identification and field‐induced control of Néel‐vector states in a two‐dimensional A ...
Affan Safeer +11 more
wiley +1 more source
Multiple Frequency Vibration Estimation in Controlled Electric Synchronous Motor Systems
Synchronous motors are widely used in applications demanding high efficiency, torque density, and precise velocity regulation, such as electrified transportation, industrial automation, and robotics.
Francisco Beltran-Carbajal +4 more
doaj +1 more source
A study of Tuned Mass Damper (TMD) Application for Mass Imbalance and Vibration Reduction in Gimbal Systems for High-speed Maneuverable Vehicles [PDF]
This study proposed a method for simultaneously reducing mass imbalance and vibration in gimbal systems utilizing a tuned mass damper (TMD) as a balancing weight. Finite element analysis (FEA) and experiments were used for testing the method.
Jun-Soo Kim +4 more
doaj +1 more source
In this study, we developed an evaluation method using posture and joint torque for the evaluation of balance ability. The evaluation and analysis of standing with a disturbance is conducted for effective balance evaluations.
Yasuhiro Nakamichi +4 more
doaj +1 more source
Artificial Intelligence Meets Micro/Nanorobotics
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever +6 more
wiley +1 more source
Synchronization of Two Self-Synchronous Vibrating Machines on an Isolation Frame
This paper investigates synchronization of two self-synchronous vibrating machines on an isolation rigid frame. Using the modified average method of small parameters, we deduce the non-dimensional coupling differential equations of the disturbance ...
Chunyu Zhao +3 more
doaj +1 more source

