Results 151 to 160 of about 12,519,244 (275)

Characterized Ecoflex Polydimethylsiloxane (PDMS) Hybrids for Advanced Flexible Devices

open access: yesAdvanced Materials Technologies, EarlyView.
Ecoflex–PDMS hybrids are systematically characterized to identify an optimal composition that balances stretchability, optical transparency, and plasma bonding, enabling multifunctional applications in stretchable microfluidics, flexible sensing, and soft robotics.
Xiaoyue Kang   +10 more
wiley   +1 more source

Biodegradable and Edible Milli‐Fluidic Logic Circuits

open access: yesAdvanced Materials Technologies, EarlyView.
Fully biodegradable and edible fluidic circuits are developed using gelatin‐based valves that operate at low pressure. Logic gates, a one‐bit memory, and a ring oscillator are demonstrated, showing that biodegradable materials can perform computation and control.
Shuhang Zhang   +3 more
wiley   +1 more source

Hierarchically Wrinkled Silver Ink as a Platform for Fully Integrated Stretchable Electronic Systems

open access: yesAdvanced Materials Technologies, EarlyView.
Silver Hierarchical Responsive ink (SHRink), a universal approach for the fabrication of highly stretchable interconnects, wirings, and skin‐interfaced electrodes, is realized through low‐cost, scalable spray‐printing and transfer‐printing. The SHRink demonstrates high electrical conductivity (1.2E04 S cm−1) and large stretchability (235% max fracture ...
Junye Li   +11 more
wiley   +1 more source

Multidimensional Heat‐Path Engineering in Thermal Interface Materials for High‐Performance Electronics

open access: yesAdvanced Materials Technologies, EarlyView.
This review presents multidimensional heat‐path engineering for thermal interface materials, showing how internal heat transport, interfacial contact and bondline formation, and processing‐defined pathway architectures together determine bonded‐joint thermal performance.
Jinsoo Na   +7 more
wiley   +1 more source

Robotic Process Mining: Accelerating the Adoption of Robotic Process Automation.

open access: yes, 2021
Robotic Process Automation (RPA) is a technology to automate repetitive tasks. Using an RPA tool, a user can develop a software bot that can execute a sequence of interactive steps with one or more software applications. For example, we can use an RPA tool to develop a software bot that opens a spreadsheet, then opens a Web form, and then copy-pastes ...
openaire   +2 more sources

Recent Advances in Light‐Addressable Electrochemistry for Spatially Resolved Applications

open access: yesAdvanced Materials Technologies, EarlyView.
This comprehensive review highlights light‐addressable electrochemistry as a powerful tool that uses light to control localized chemical reactions on unstructured semiconductor surfaces. The work evaluates advanced strategies to optimize electrode materials for enhanced spatial resolution and stability. Furthermore, it showcases diverse applications in
Nhi Trang Vo   +2 more
wiley   +1 more source

Robotic process automation for identifying missing codes on insurance claims. [PDF]

open access: yesBMJ Health Care Inform
Lee J   +6 more
europepmc   +1 more source

Region‐Specific Profiling of the Gut Microbiome and Metabolite Landscape in Response to Dietary Intervention Using Electronics‐Free Ingestible Smart Sampling Capsules

open access: yesAdvanced Materials Technologies, EarlyView.
Region‐specific profiling of the gut microbiome is achieved non‐invasively using electronics‐free ingestible sampling capsules that activate at defined intestinal sites through stimuli‐responsive coatings. Deployed in a porcine dietary intervention model, the capsules resolve spatially distinct, fiber‐driven shifts in microbial composition and short ...
Devendra Sarnaik   +8 more
wiley   +1 more source

Customizable Piezo‐Transmittance‐Based Multiaxial Force Sensor With Deep‐Learning‐Assisted Sensing

open access: yesAdvanced Materials Technologies, EarlyView.
Development of a soft tri‐axis piezo‐transmittance sensor with integrated LEDs and photodiodes enables multidirectional force sensing through deformation‐induced optical modulation. A tailored 1D convolutional neural network provides real‐time force direction and intensity prediction, achieving 99.6% classification accuracy and a mean squared error of ...
Filippo Peruzzi   +6 more
wiley   +1 more source

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