SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4257-y
Hafnia-based ferroelectrics exhibit a distinctive reverse size effect and exceptional scalability, positioning them as critical candidates for CMOS-compatible non-volatile memory and ferroelectric transistors, with substantial promise for advancing hardware acceleration in artificial intelligence and large-data storage technologies. However, their practical deployment is constrained by a longstanding dilemma: the difficulty in simultaneously stabilizing metastable polar phases and ensuring long-term reliability under the high electric fields required for polarization switching. This review reinterprets this challenge through the lens of defect physics and advocates a paradigm shift from stochastic, disorder-mediated defect incorporation toward ordered, multiscale defect engineering. We systematically discuss the collective influence of point defects, line defects, planar defects, and defect-coupled structures on the phase stability, switching kinetics, and failure mechanisms in hafnia-based ferroelectrics. Controlling oxygen-vacancy states, engineering dopants via Fermi-level and chemical pressure, deploying periodic dislocation arrays, designing topological domain walls, functionalizing interfaces, and leveraging flexoelectric strain gradients constitute the core strategic toolkit. Through such ordered defect architectures, scalable performance metrics, including high remanent polarization, low coercive field, fast switching speed, and endurance exceeding 10^12 cycles, become attainable. These approaches establish a set of design principles for next-generation low-power, high-reliability ferroelectric electronics.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3828-y
The rapid development of halogen-free solvent-processed organic solar cells (OSCs) has been enabled by side-chain modification on small molecular acceptors, yet the structure-property relationship between inner/outer chain lengths and device performance remains unclear. This study systematically investigates five non-fullerene acceptors (NFAs) with varied side-chain positions and architectures, clarifying the effects of inner versus outer modifications on energy level distribution, film morphology, and carrier dynamics. Notably, longer alkyl chains are not always superior; excessive solubility reduces molecular packing order. The optimized PM6:BTP-TO12 blend achieves a power conversion efficiency (PCE) of 18.2%. Furthermore, ternary OSCs incorporating BTP-TO12 as a guest material reach a remarkable PCE of 19.5%, enhancing the performance of L8-BO-based devices processed with green solvents. This improvement is attributed to the low energy loss and well-controlled aggregation behavior of BTP-TO12 in environmentally friendly toluene. These findings establish a design guideline for side-chain engineering in green-solvent-processed OSCs, achieving state-of-the-art performance and advancing scalable, eco-compatible photovoltaic technologies.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025011303
Polybrominated diphenyl ethers (PBDEs) are persistent organic pollutants with environmental persistence, bioaccumulation, and toxicity, posing significant threats to marine ecosystems and human health. This study developed an analytical method using anhydrous sodium sulfate-alumina composite column chromatography coupled with gas chromatography-orbitrap mass spectrometry to quantify mono- to deca-BDEs in coastal seawater of Dalian, China. The total PBDE concentrations (∑PBDEs) ranged from not detected to 511.96 pg·L−1, with a mean of 163.96 pg·L−1. BDE-209 was the dominant congener, contributing 24.1% to ∑PBDEs. Spatial distribution exhibited distinct heterogeneity, with higher abundances of highly brominated PBDEs near sewage discharge outlets. Partial least squares discriminant analysis indicated that anthropogenic activities, particularly sewage discharge, were the primary sources. Ecological risk assessment revealed extremely low risk, with the highest risk quotient of 0.013 for BDE-17. These findings provide baseline data for PBDE contamination in Dalian coastal waters and underscore the need for continued monitoring of emerging contaminants.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3874-1
The rapid expansion of artificial intelligence (AI) model sizes to trillions of parameters has intensified the demand for computational paradigms that overcome the von Neumann bottleneck. Emerging memory technologies, while advancing, fall short of meeting the massive requirements of large-scale models. Ferroelectric materials, with their continuous tunability of domain patterns, offer a promising route to emulate synaptic weights in biological learning. This review systematically examines four fundamental ferroelectric-based device architectures: ferroelectric capacitors, ferroelectric field-effect transistors (FeFETs), ferroelectric tunnel junctions (FTJs), and ferroelectric domain wall memories. We analyze their latest progress, application domains, and inherent advantages, while critically assessing the challenges impeding their commercialization. Key issues include scalability, endurance, retention, and integration with CMOS technology. We also highlight optimization strategies for material and device performance, array-level design, and neuromorphic computing architectures. Future research directions are proposed, emphasizing the expansion of novel applications and the realization of energy-efficient, high-density in-memory computing systems. This review provides a comprehensive framework for researchers and engineers aiming to harness ferroelectric devices for next-generation computing.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025041405
Microplastics, as a class of emerging environmental contaminants, pose global concerns due to their potential ecological and human health impacts. Accurate identification and quantification of microplastics in environmental matrices are essential for assessing their environmental fate and ecological risks. Pyrolysis-based analytical methods, which decompose macromolecules into smaller fragments followed by gas chromatographic separation and mass spectrometric detection, offer high sensitivity and accuracy, making them significant for microplastic analysis. Despite these advantages, their application remains nascent, with limited comprehensive understanding of their applicability across diverse environmental media. This review systematically compares three pyrolysis-based techniques—pyrolysis-gas chromatography-mass spectrometry (Py-GC-MS), thermogravimetry-differential scanning calorimetry (TGA-DSC), and thermal extraction-desorption gas chromatography-mass spectrometry (TED-GC-MS)—for microplastic detection in various matrices. The effectiveness of each method is evaluated in terms of sensitivity, selectivity, and matrix compatibility. Critical challenges, including lack of standardized protocols, complex sample pretreatment requirements, and limitations in quantifying mixtures, are identified. Future research directions emphasize the need for standardization, optimization of pretreatment for complex matrices, and integration with complementary techniques such as FTIR and Raman spectroscopy to enhance comprehensive microplastic characterization. This review provides a critical framework for selecting appropriate pyrolysis-based methods and highlights areas requiring further methodological development.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4033-1
Photodetectors are critical components in modern optoelectronic systems, underpinning applications in optical communication, low-altitude economy, environmental monitoring, and national defense. Layered two-dimensional (2D) materials such as MoS2, WS2, black phosphorus (BP), and ReS2 have attracted extensive attention due to their remarkable electronic and optical properties, including facile mechanical exfoliation and tunable characteristics via thickness engineering. The absence of dangling bonds enables the construction of van der Waals (vdW) heterostructures free from lattice-matching constraints, promoting efficient charge transport, enhanced light absorption, and suppressed dark current. Among layered materials, semimetals such as graphene, PdTe2, MoTe2, and TaIrTe4 exhibit narrow or zero bandgaps, enabling ultrabroadband spectral responses from ultraviolet (UV) to terahertz (THz). ZrTe3, a layered gapless semimetal, demonstrates pronounced carrier transport features, including robust excitons and ultrafast carrier relaxation times, making it an ideal candidate for photodetection. However, pure ZrTe3-based photodetectors suffer from substantial dark current due to the absence of an energy bandgap, degrading signal-to-noise ratio and specific detectivity (D*). This work reports a high-performance broadband photodetector based on a ZrTe3/CuInP2Se6 heterostructure. By exploiting an asymmetric contact configuration that introduces a Schottky barrier, the device effectively suppresses dark current while enhancing photoresponse. The photodetector exhibits broad spectral sensitivity from UV to near-infrared (355–1177 nm), microsecond-level response speed, and high responsivity and specific detectivity. Beyond conventional photodetection, an optoelectronic information encryption-decryption application is demonstrated, where modulated light and bias voltage serve as dual input channels to encode and decode ASCII signals. This study resolves the challenge of high dark current in semimetal-based photodetectors and introduces a multifunctional platform for secure optoelectronic communication, highlighting the potential of ZrTe3 for next-generation photonic and quantum information technologies.