Results 111 to 120 of about 5,549 (211)
Self‐Assembled Calcite Architectures for Programmable Information Storage
Programmable biomineralization enables the formation of 3D calcite architectures that encode information through spatially defined refractive‐index modulations. Data are written via laser‐directed mineralization, stored in stable voxelized mineral structures, and retrieved non‐destructively through optical diffraction, offering a pathway toward ultra ...
Congrui Jin +2 more
wiley +1 more source
CSA: A Route Clonal Selection Algorithm for Dynamic WDM Networks
The minimization of blocking probability is an important problem for the design of next generation high speednetworks. This problem is usually approached with an adaptive routing algorithm with traffic grooming, that is costly regarding improvements on ...
M.Taynnan Barros +2 more
doaj
When Cubic is Not Isotropic: Phonon–Exciton Decoupling in CuInSnS4 Single Crystals
A cubic CuInSnS4 crystal does not fully play by cubic rules. While phonons follow the average iso‐tropic lattice symmetry, the disorder‐localized excitons break away, showing strong, and reproduci‐ble polarization‐dependent emission. This work shows how intrinsic cation disorder can turn a mac‐roscopically cubic material into a source of hidden ...
Lara Kim Linke +11 more
wiley +1 more source
Machine Learning Enables Inverse Design of Optically Driven Microscopic Metavehicles
Machine‐learning‐based inverse design is used optimize “metavehicles” — flat microparticles based on metagratings that generate a strong lateral optical force from normally incident light. The optimized design exhibits a force efficiency of ∼88% and a measured propulsion speed in water much higher than previously reported, demonstrating that inverse ...
Vasilii Mylnikov +2 more
wiley +1 more source
Remote Control of Hand Actuators via Glove Sensors for Medical Care Applications
This study presents a novel textile‐based sensory glove–actuator system for remote medical care, explored through finite element simulations. By integrating capacitive sensors, pneumatic actuators, and machine learning, the system models real‐time hand movement control.
Bahman Taherkhani, Mahdi Bodaghi
wiley +1 more source
Auto‐Routing Fluidic Printed Circuit Boards
This work introduces (STREAM) software tool for routing efficiently advanced macrofluidics, an open‐source software tool for automating the design of 3D‐printable fluidic circuit boards. STREAM streamlines tube routing and layout, enabling the rapid fabrication of fluidic networks for soft robotics, lab‐on‐a‐chip devices, microfluidics, and biohybrid ...
Savita V. Kendre +3 more
wiley +1 more source
Optimum Routing and Scheduling in Wireless Nerworks
A joint routing and scheduling algorithm for multihop wireless networks, based on a unified convex optimization framework, is proposed. Our approach is novel in that it integrates optimal scheduling with a modified version of distributed minimum delay ...
Naghmeh Sadat Moayedian +1 more
doaj
3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu +5 more
wiley +1 more source
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source

