Abstract Structural color materials with reversible stimuli‐responsiveness to external environment have been widely used in sensors, encryption, display, and other fields. Compared stimuli, visible light is highly controllable both temporally spatially less damage materials, which more suitable for structural patterning. Herein, a new diselenide‐containing shape memory material prepared creating patterns via stimulus. In this system, the originates from birefringence of stretched whose...

A visible-light-responsive metathesis reaction between diselenide and ditelluride proceeding through a radical mechanism without catalysts.

Responsive polymeric materials that are sensitive to biological stimuli including temperature, pH, enzymes, or redox conditions have attracted research interest in recent years. Among these, reactive oxygen species (ROS)-responsive polymers particularly appealing because of the special role ROS living organisms. indicator and cause certain diseases, they also important signaling molecules. ROS-responsive could possess following functions: drug carriers, probes, medications for ROS-related...

This paper proposes a hybrid multi-vector model predictive control (MPC) to reduce the harmonic content in output current of two-level virtual synchronous generator (VSG). Compared traditional two-vector MPC, proposed MPC has twelve sets voltage vectors, meaning that number iterative calculations required each cycle is identical for both methods. three-vector method requires more per period but achieves optimal current. In addition, different from methods, this incorporates frequency...

Energy storage systems support electrical grid stability by enabling strategies to tackle issues, such as power fluctuations, low inertia, and insufficient damping. The present study proposes a battery energy system based on modular multilevel converter with multiplexed submodule arms (M-MMC-BESS) reduce the number of switching devices while embedding DC short-circuit fault ride-through capability. Compared conventional two-stage half-bridge topology, M-MMC-BESS retains same but allows...

Mechanoresponsive luminescent (MRL) elastomers, which change their fluorescence color or intensity upon deformation, can facilitate simple strain detection through optical signals. Several polymers have been endowed with MRL properties by blending them excimer-forming dyes, whose assembly and emission are affected deformation of the blended materials. However, access to elastic polyurethanes based on this approach has proven difficult usually requires covalent incorporation such dyes in high...

This paper proposes an adaptive strategy of co-regulating the three parameters—P/ω droop coefficient, virtual inertia, and damping coefficient—for synchronous generator (VSG). approach is able to solve uncoordinated performance between inertia using conventional control in which system may experience serious frequency fluctuations. Through mathematical modeling VSG grid-connected system, segmental analysis transient process carried out, parameter adjustment law each stage obtained. The...

The seasonal storage of hydrogen and energy using iron as a medium is demonstrated at technically-relevant level 0.21 m 3 pilot reactor.

Quantification of metabolites present within exhaled breath is a major challenge for on-line analysis. It also important gauging the analytical performance, accuracy, reproducibility, reliability, and stability measuring technology. Short-chain fatty acids (SCFAs) are high interest nutrition health. Their quantification enables deep mechanistic understanding wide range biological processes metabolic pathways, while their volatility makes them an attractive target This article reports, first...

Abstract Regulating the reactivity and equilibrium of a dynamic reaction is essential for adaptive chemistry functional materials. Herein, cucurbituril‐based host‐guest interaction was embedded into metathesis between diselenide ditelluride to establish an equilibrium‐adaptive system. In this system, cucurbit[6]uril (CB[6]) selectively bound with while cucurbit[7]uril (CB[7]) not only but also exchange product. The nature bond locked after forming inclusion complex CB[6]. Based on selective...

The goal of automated feature generation is to liberate machine learning experts from the laborious task manual generation, which crucial for improving performance tabular data. major challenge in efficiently and accurately identify effective features a vast pool candidate features. In this paper, we present OpenFE, an tool that provides competitive results against experts. OpenFE achieves high efficiency accuracy with two components: 1) novel boosting method evaluating incremental 2)...

The graph stream is defined as rapid edge streams on a huge domain of nodes. Nowadays, play important roles in network traffic, social networks, and cloud troubleshooting. Therefore, various summary structures for are proposed to obtain approximate evaluation results. However, these either sacrifice accuracy guaranteed throughput or compromise memory consumption high precision. In view the limitations, we propose Cuckoo Matrix. It only uses one adjacency matrix complete queries while...

Investigating the computational resources we need for cryptography is an essential task of both theoretical and practical interests. This paper provides answers to this problem on pseudorandom functions (PRFs). We resolve exact complexity PRFs by proving tight upper lower bounds various circuit models.

Time-dependent nonlinear media, such as rapidly generated plasmas produced via laser ionization of gases, can increase the energy individual photons and generate tunable high-order harmonic pulses. This phenomenon, known photon acceleration, has traditionally required extreme-intensity pulses macroscopic propagation lengths. Here, we report on a novel material$-$an ultrathin semiconductor metasurface$-$that exhibits efficient acceleration at low intensities. We observe signature...

This paper studies the long-term energy management of a microgrid coordinating hybrid hydrogen-battery storage. We develop an approximate semi-empirical hydrogen storage model to accurately capture power-dependent efficiency introduce prediction-free two-stage coordinated optimization framework, which generates annual state-of-charge (SoC) reference for offline. During online operation, it updates SoC using kernel regression and makes operation decisions based on proposed adaptive...

We investigate the performances of different types transformations in image watermarking algorithm using subsampling which include Discrete Cosine Transform (DCT), Wavelet (DWT), and Multiwavelet (DMWT). The DMWT has been used as decomposition tool to obtain multiresolution data. efficiencies these transforms are discussed by evaluating watermarked quality robustness watermark. Due representation obtained from DWT DMWT, algorithms both yield better than one DCT. fact that provides...

We study linear contextual bandits in the misspecified setting, where expected reward function can be approximated by a class up to bounded misspecification level $\zeta>0$. propose an algorithm based on novel data selection scheme, which only selects vectors with large uncertainty for online regression. show that, when $\zeta$ is dominated $\tilde O (\Delta / \sqrt{d})$ $\Delta$ being minimal sub-optimality gap and $d$ dimension of vectors, our enjoys same gap-dependent regret bound...