Results 71 to 80 of about 55,280 (259)
Polymer Substrates for Flexible Sensors: Advances and Contributions to Smart Agriculture
This review comprehensively summarizes recent advances in polymer‐based flexible sensors for smart agriculture, focusing on polymer substrate design, interface engineering, and applications in soil, plant, animal, aquaculture, and post‐harvest monitoring.
Yihui Li +12 more
wiley +1 more source
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao +6 more
wiley +1 more source
A tubular electrowetting pump moves alternating droplets through a millimeter‐wide channel in discrete, reversible steps, functioning as a fluidic stepper motor. With no moving parts and electrodes insulated from the liquid, it delivers silent, accurate flow. Flexibility allows the pump to be woven directly into textiles for wearable, medical, and soft‐
Robert Hennig, Herbert Shea
wiley +1 more source
Full-waveform inversion on heterogeneous HPC systems [PDF]
We present a spectral-element implementation of full seismic waveform inversion for large heterogeneous HPC systems. In this we address the optimal parallelisation configurations of individual simulations, the large I/O requirements of adjoint simulations, and the scheduling of large numbers of forward and adjoint solves, typical for realistic ...
Alexey Gokhberg, Andreas Fichtner
openaire +1 more source
Wearable Kirigami‐Apertured Capacitive Sensors for Continuous Cardiac Volumetric Monitoring
A wearable kirigami‐apertured carbon nanotube‐paper composite (K‐CPC) capacitive sensor enables cardiac volumetric monitoring. The kirigami process creates a central aperture with cantilevered fibers that confine the electric field, enhancing both sensitivity and lateral resolution.
Yu‐Jen Cheng +4 more
wiley +1 more source
A fully polymeric two‐dimensional array of Dielectric Elastomers enables self‐sensing, cooperative actuation, and large‐stroke operation in a DE‐based autonomous conveyor. Based only on voltage and current measurements at actuator level, the system detects the presence of a ball and subsequently drives it toward a target position.
Saverio Addario +6 more
wiley +1 more source
Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin +7 more
wiley +1 more source
Thermoresponsive Soft and Self‐Anchoring Cuff Electrode for Chronic Peripheral Interfaces
A novel thermoresponsive, soft and self‐anchoring (TSSA) cuff electrode utilizing shape memory polymers achieves autonomous, sutureless peripheral nerve fixation. Driven by thermally induced pre‐strain and tissue adhesion, the device self‐closes and softens at body temperature, successfully minimizing mechanical mismatch. This adaptive platform ensures
Seungjun Lee +4 more
wiley +1 more source
A 3D Human Neuron‐on‐Chip Platform to Monitor Neuronal Injury Responses
This study presents a novel 3D Neuron‐on‐Chip model that can maintain human PSC‐derived excitatory prefrontal cortex neurons in 3D hydrogels and can be used to monitor neuronal injury responses over time. Results show injury‐induced acute neuronal excitotoxicity, declining neuronal connectivity, and the activation of a neurodegenerative, SASP‐like ...
Ruiping Tang +16 more
wiley +1 more source
Accelerating full waveform inversion by transfer learning
Abstract Full waveform inversion (FWI) is a powerful tool for reconstructing material fields based on sparsely measured data obtained by wave propagation. For specific problems, discretizing the material field with a neural network (NN) improves the robustness and reconstruction quality of the corresponding optimization problem.
Divya Shyam Singh 0001 +5 more
openaire +2 more sources

