Results 71 to 80 of about 211,586 (312)
A novel one‐shot integration electropolymerization (OSIEP) method is developed as a breakthrough on the intricate photolithographic steps, enabling to compress all processes from synthesis to channel integration in one‐shot manufacturing. The specially designed dual bipolar electrodes provide the targeted depositions of poly(3,4‐ethylenedioxythiophene)
Jiyun Lee+9 more
wiley +1 more source
Convergence drawing is used to create flexible, microscale, multifunctional fiber‐based neural probes. Optimized materials selection enables individual devices to perform neural recording, electrical stimulation, optogenetics, fiber photometry, fluid delivery, and voltammetric neurotransmitter detection in rodents.
Nicolette Driscoll+16 more
wiley +1 more source
High‐Resolution Patterned Delivery of Chemical Signals From 3D‐Printed Picoliter Droplet Networks
3D‐printed picoliter droplet networks have been fabricated that control gene expression in bacterial populations by releasing chemical signals with precise spatial definition and high temporal resolution. This system of effector release is widely applicable, offering diverse applications in biology and medicine.
Jorin Riexinger+7 more
wiley +1 more source
This review describes recent developments in the design and synthesis of metal–organic frameworks (MOF)/textile composites for the detoxification of chemical warfare agent and simulants with extensive discussion on the advantages and disadvantages of different methods.
Zhihua Cheng+4 more
wiley +1 more source
This review explores the integration of responsive materials and soft robotic actuators with implantable electronics to address key challenges in bioelectronic medicine. By enabling shape actuation, these technologies improve deployment, adaptability, and accuracy in minimally invasive procedures.
Chaoqun Dong, George G. Malliaras
wiley +1 more source
Machine‐Learning‐Aided Advanced Electrochemical Biosensors
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan+9 more
wiley +1 more source
Next‐Generation Image Sensors Based on Low‐Dimensional Semiconductor Materials
Low‐dimensional semiconductor materials are promising candidates for photosensitive components in next‐generation image sensors. This review offers a thorough and timely examination of novel image sensors, covering their working principles, intriguing materials categorized into four main groups, and advanced imaging applications.
Yunxia Hu+3 more
wiley +1 more source
Observation and detection of neurotransmitter dynamics in aqueous system has been hurdle for analytical fields due to its weak and reversible nature. A terahertz‐nanodisc metasurface which implements comprehensive detection over conformational change and selective sensing is introduced. Utilizing the THz regime photonics and biomimetic environment with
Taeyeon Kim+6 more
wiley +1 more source
Hardware Implementation of On‐Chip Hebbian Learning Through Integrated Neuromorphic Architecture
This work presents a neuromorphic hardware platform that integrates presynaptic transistors, threshold switching neurons, and adaptive feedback synapses. The architecture enables on‐chip Hebbian learning through correlation‐based weight updates without external training circuits.
Seonkwon Kim+6 more
wiley +1 more source
Nano‐octahedron Co3O4 decorated graphene composite electrode for selective and simultaneous detection of dopamine. The detection limit of 0.09 µM, and linear range from 1 to 500 µM are reported. The synergistic effect of nano octahedron Co3O4 and graphene results in excellent performance of the sensor in terms of selectivity and sensitivity.
Swathi Tharani Dharmalingam+5 more
wiley +1 more source