5 results match your criteria: "Research Center for New Materials Computing[Affiliation]"

Electronic skins (e-skins) incorporating island architectures represent a promising platform for strain-insensitive tactile sensing by mechanically decoupling sensing units from deformations. However, conventional island designs encounter stress concentration issues caused by inherent modulus mismatches, critically limiting achievable island densities. This limitation forces a stubborn trade-off between strain-insensitivity and sensing resolution.

View Article and Find Full Text PDF

Antiferromagnets have attracted widespread interest due to the advantages of no stray fields and ultrafast switching dynamics, promising for next-generation high-speed, high-density memories. However, over a long period, the effective detection of antiferromagnetic (AFM) orders remained being one of the greatest challenges of its application in magnetic random access memories (MRAM) because of its zero net magnetization. Recently, the preliminary demonstration of the tunneling magnetoresistance ratio(TMR) in antiferromagnetic tunnel junctions (AFMTJ) offered a feasible solution.

View Article and Find Full Text PDF

Optimizing Charge Separated Synergistic Binding Sites in Self-Healing Crystalline Porous Organic Salts for Benchmark Trace Alkyne/Alkene Separation.

Angew Chem Int Ed Engl

June 2025

Key Laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, Zhejiang Normal University, Jinhua, 321004, P.R. China.

The separation of trace alkyne (CH/CH) impurities from alkenes (CH/CH) is a significant but challenging process to produce polymer-grade CH and CH. Herein, we reported an optimally designed charge-separated organic framework, crystalline porous organic salt (CPOS-1), with confined polar channels for highly efficient alkyne/alkene separation. CPOS-1 exhibits excellent stability, remarkably high CH (18.

View Article and Find Full Text PDF

Edge detection is one of the most essential research hotspots in computer vision and has a wide variety of applications, such as image segmentation, target detection, and other high-level image processing technologies. However, efficient edge detection is difficult in a resource-constrained environment, especially edge-computing hardware. Here, we report a low-power edge detection hardware system based on HfO-based ferroelectric field-effect transistor, which is one of the most potential non-volatile memories for energy-efficient computing.

View Article and Find Full Text PDF

One challenge for gas sensors is humidity interference, as dynamic humidity conditions can cause unpredictable fluctuations in the response signal to analytes, increasing quantitative detection errors. Here, we introduce a concept: Select humidity sensors from a pool to compensate for the humidity signal for each gas sensor. In contrast to traditional methods that extremely suppress the humidity response, the sensor pool allows for more accurate gas quantification across a broader range of application scenarios by supplying customized, high-dimensional humidity response data as extrinsic compensation.

View Article and Find Full Text PDF