Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
Enhanced adaptive sliding mode control with termination parallelism cooperative optimization for torque ripple reduction in switched reluctance motor drives. [PDF]
Karthikeyan G, Padmanabhan TS.
europepmc +1 more source
Here, we establish a quantitative relationship between the electrostriction coefficient (Q33) of FRPs and their interplanar spacing (d): Q33 = 100(Δd/d0+1) × Q33(s). Using this model, we fabricated high‐performance soft robots, including a biomimetic crawler (with a speed of 27 cm/s) and a butterfly (with a thrust‐to‐weight ratio of 0.71).
Ba Qin +8 more
wiley +1 more source
Development of intelligent hybrid controller for torque ripple minimization in electric drive system with adaptive flux estimator: An experimental case study. [PDF]
Kant S +6 more
europepmc +1 more source
Programmable Elastic Wave Control Via Mechanical‐Acoustic Interaction in Bistable Metamaterials
A mechanically programmable metamaterial based on mechanical‐acoustic interaction enables reconfigurable elastic wave control through bistable state switching. Spatial encoding of peak and valley states tunes band structures and transmission, achieving low‐frequency vibration suppression, waveguiding, and energy localization.
Yuanyuan Li +7 more
wiley +1 more source
Identification of Intrinsic Friction and Torque Ripple for a Robotic Joint with Integrated Torque Sensors with Application to Wheel-Bearing Characterization. [PDF]
Turlapati SH +7 more
europepmc +1 more source
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su +13 more
wiley +1 more source
An improved finite set model predictive control of SRM drive based on a voltage vectors strategy for low torque ripple. [PDF]
Mohanraj D, S D, Balachandran PK.
europepmc +1 more source
Fully programmable, in‐process 3D magnetization integrated with multi‐material printing enables soft magnetic systems with precise actuation and sensing. Discrete and continuous magnetization profiles drive bending, morphing, and locomotion, demonstrated through strain‐sensing elements, dragonfly‐inspired wings, octopus‐like tentacles, and a serpentine
Phillip Glass +5 more
wiley +1 more source
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu +5 more
wiley +1 more source

