Cyclic Olefin Copolymers as Versatile Materials for Advanced Engineering Applications
Cyclic olefin copolymers (COCs) are presented as highly versatile materials combining tunable synthesis, excellent optical properties, and mechanical robustness. Their potential spans microfluidics, bioengineering, and advanced electronics, while emerging self‐healing and sustainable solutions highlight future opportunities.
Giulia Fredi +3 more
wiley +1 more source
A 2-GS/s 35.9-fJ/conv.-step Voltage-Time Hybrid Pipelined ADC with Digital Background Calibration in 28-nm CMOS. [PDF]
Chang Y +6 more
europepmc +1 more source
Inspired by natural silicified wood, a biomimetic mineralized chitin‐derived aerogel is constructed. It can withstand 81 000 times its own weight, and its backside temperature is 130.4°C after exposure to ∼1300°C butane flame for 600 s, exhibiting high‐strength, fire‐resistance, and super thermal‐insulation properties.
Kai Xu +11 more
wiley +1 more source
Hybrid AI Models for Short-Term Photovoltaic Forecasting: A Systematic Review of Architectures, Performance, and Deployment Challenges. [PDF]
Saltos JM +4 more
europepmc +1 more source
Wafer‐scale two‐dimensioanl In2Se3 oxidized into InOx on sodium‐embedded beta‐alumina enables multifunctional reconfigurable electronics. Sodium ions accumulate within distinct spatial distribution under drain‐controlle and gate‐controlled operation. Drain‐control operation gives controllability of ultraviolet‐driven optoelectronic synaptic conductance
Jinhong Min +13 more
wiley +1 more source
Surface integrity and kerf quality improvement in laser beam machining of Nimonic C-263 by hybrid TOPSIS-grasshopper optimization approach. [PDF]
Shastri RK +4 more
europepmc +1 more source
ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak +19 more
wiley +1 more source
A New Interval Belief Rule Base Model Based on Hybrid Optimization and Adaptive Reference Intervals for Diesel Engine Health State Assessment. [PDF]
Zheng H, Xu B, Zhao M, Du H, He W.
europepmc +1 more source
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
Deep learning-driven quantitative spectroscopic photoacoustic imaging for segmentation and oxygen saturation estimation. [PDF]
Shang R +6 more
europepmc +1 more source

