Results 141 to 150 of about 384,122 (348)
Bioinspired bromination of a resilin‐derived peptide enables the fabrication of electrospun nanofibrous scaffolds that uniquely combine strain‐stiffening elasticity, proteolytic stability, and antioxidant functionality. These brominated peptide–gelatin hybrids mimic the extensibility of natural elastomers, demonstrating tunable mechanical resilience ...
Elisa Marelli +6 more
wiley +1 more source
A roll‐to‐roll exfoliation method is demonstrated that preserves the crystallographic alignment of anisotropic 2D materials over large areas, enabling scalable fabrication of directional electronic and optoelectronic devices. Abstract Anisotropic 2D materials such as black phosphorus (BP), GeS or CrSBr, exhibit direction‐dependent optical and ...
Esteban Zamora‐Amo +14 more
wiley +1 more source
In situ monitoring of bulk photoalignment reveals how molecular weight, azobenzene content, cooling rate, and thickness govern ordering in main‐chain liquid crystalline polymers. Optimized copolymers exceed conventional thickness limits, maintaining stable alignment up to 130 µm with high energy efficiency and reversible optical patterning.
Jaechul Ju +3 more
wiley +1 more source
An Unknown Input Multi-Observer Approach for Estimation and Control under Adversarial Attacks
We address the problem of state estimation, attack isolation, and control of discrete-time linear time-invariant systems under (potentially unbounded) actuator and sensor false data injection attacks.
Kuijper, Margreta +3 more
core
Active carbody roll control in railway vehicles using hydraulic actuation
Edoardo Filippo Colombo +3 more
openalex +2 more sources
Yaw Moment Compensation by Actuator-Based Control of Brake System in Automobiles
Vaibhav Bisht +3 more
openalex +1 more source
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source

