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JW
Verified CAS / Academic Author8 Decoded Studies

Prof. Jiangtao Wang

Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Advanced Materials Division, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, 215123, China

Co-Affiliations:State Key Laboratory of Polymer Physics and Chemistry, Institute of Chemistry, Chinese Academy of SciencesShenzhen UniversityKey Laboratory of Advanced Energy Materials Chemistry (Ministry of Education), Renewable Energy Conversion and Storage Center, College of Chemistry, Nankai UniversityGuangzhou Institute of Energy Conversion, Chinese Academy of SciencesState Key Laboratory of Coal Conversion, Institute of Coal Chemistry, Chinese Academy of Sciences, Taiyuan 030001, ChinaInstitute of Advanced Electrochemical Energy, Xi'an University of Technology

Research Publications & English Decoded Briefs

Showing 8 publications
SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4298-x

High-Performance All-Solid-State Artificial Muscles Enabled by Double-Network Hydrogel Electrolytes

Conventional electrochemical artificial muscles rely on liquid electrolytes, which suffer from poor encapsulation processability, high leakage risks, and inadequate biocompatibility, limiting their application in bionic medicine, wearable exoskeletons, and humanoid robots. To address these bottlenecks, we fabricated a polyvinyl alcohol-polyacrylic acid (PVA-PAA) double-network hydrogel electrolyte and integrated it with twisted carbon nanotube (CNT) yarns via ultraviolet curing, constructing an all-solid-state artificial muscle unit. The unit maintained structural integrity and actuation performance after mechanical deformation treatments such as weaving and knotting. Experimentally, it achieved a maximum contractile stroke of 16% at −1 to 1.8 V and generated an isometric force of approximately 500 mN at −1 to 2 V. The solid-state artificial muscles exhibited excellent mechanical properties, compact size, and high flexibility, offering new opportunities for applications in bionic medical devices and intelligent robots.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4300-3

Molecular Weight Engineering of D18 Polymer Enables 20.55% Efficiency in Non-Halogenated Solvent-Processed Organic Solar Cells via Controlled Film Formation Kinetics

The power conversion efficiency (PCE) of organic solar cells (OSCs) has surpassed 21% with the donor polymer D18, yet its processing from non-halogenated solvents like ortho-xylene (o-XY) remains inefficient due to uncontrolled film formation kinetics. Here, we systematically synthesize D18 polymers with molecular weights ranging from 41.6 kDa to 70.9 kDa to modulate crystallization kinetics. In-situ film drying studies reveal that lower molecular weights accelerate solidification, leading to excessive aggregation, while higher molecular weights slow it, causing insufficient phase separation. A medium molecular weight (D18-M) achieves a balanced crystallization rate, promoting favorable morphology and yielding a PCE of 20.55% with L8-BO as acceptor—one of the highest reported for non-halogenated solvent-processed OSCs. Energy loss analysis indicates that although low-molecular-weight polymers exhibit higher intrinsic luminescence, the blend film's emission is governed by exciton environment, which is dictated by morphology. This work underscores the critical role of molecular weight in controlling film formation and morphology, offering a simple yet effective strategy for high-efficiency, environmentally friendly OSCs.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4176-y

An AIE-active centrosymmetric small molecule for ultra-deep three-photon brain angiography in the NIR-III window

Three-photon microscopy (3PM) in the near-infrared-III (NIR-III) window (1600–1840 nm) enables high-resolution visualization of cerebral vasculature in vivo, but its imaging depth and quality are limited by the performance of fluorescent probes. Here, we report a probe optimization strategy transitioning from mirror symmetry to centrosymmetry, yielding a highly symmetric aggregation-induced emission (AIE) molecule, T4PQ. The centrosymmetric structure aligns donor-acceptor units, promoting uniform electron cloud delocalization and directional charge transfer, which enhances exciton formation and suppresses non-radiative decay, thereby increasing fluorescence quantum yield. This symmetry also boosts the three-photon absorption cross-section by enhancing electron delocalization and transition dipole moment, enabling stronger nonlinear optical responses under long-wavelength excitation. T4PQ nanoparticles (T4PQ NPs) exhibit an enhanced three-photon absorption cross-section, high fluorescence quantum yield, and excellent photostability. In murine models, T4PQ NPs achieved three-dimensional cerebrovascular imaging at a depth of 1785 μm and real-time hemodynamic observation in microvessels at 1006 μm depth, with good biocompatibility. These results validate the advantage of centrosymmetric molecular design for deep-brain imaging probes, offering a high-performance tool for neurovascular research.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3710-y

Closed-Shell Elements Li & Sn Substituted P2-Type Layered Cathode Materials for Wide-Voltage Sodium-Ion Batteries

Layered transition metal oxide cathodes for sodium-ion batteries (SIBs) suffer from Jahn–Teller distortion of MnO6, Na+/vacancy ordering, and irreversible lattice oxygen loss, causing capacity fading and voltage decay. Here, we report a P2-type material, Na0.67Ni0.3Mn0.6Li0.09Sn0.01O2 (NNMO-Li0.09Sn0.01), co-doped with closed-shell Li+ and Sn4+ ions. Li+ increases the Mn4+/Mn3+ ratio, mitigating Jahn–Teller distortion, and disrupts Ni/Mn ordering, suppressing Na+/vacancy ordering. Sn4+ forms stronger Sn–O bonds (548 kJ mol−1), enhancing bonding between transition metal ions and oxygen, reducing oxygen loss. NNMO-Li0.09Sn0.01 delivers a specific capacity of 90.3 mAh g−1 with 62.9% capacity retention after 50 cycles at 0.1 C (1 C = 200 mA g−1), and 90.3% voltage retention. This closed-shell substitution strategy offers a viable approach for enhancing structural stability of wide-voltage layered oxide cathodes.

Chinese Journal of Environmental Engineering2026DOI: 10.12030/j.cjee.202507032

Emission Reduction Effects and Costs of Energy Policies under Carbon Neutrality Pathways in Guangdong Province

To mitigate global warming, regional carbon neutrality pathways are critical. Based on the Guangdong Energy Policy Simulator (EPS) model, this study simulates total energy consumption and greenhouse gas (GHG) emissions under baseline, Carbon Neutral 60 (CN60), and Carbon Neutral 50 (CN50) scenarios, and analyzes the emission reduction effects and costs of various energy policies. Results show that by 2060, total energy consumption under CN60 and CN50 decreases by 39% and 44% relative to baseline, respectively. Primary electricity and other energy, natural gas, oil, and coal account for 56%, 26%, 14%, and 4% under CN60, and 60%, 24%, 13%, and 3% under CN50. GHG emissions under CN60 drop to 80×10^6 tCO2e by 2060, an 89% reduction from 2020; under CN50, emissions reach 92 and 55×10^6 tCO2e in 2050 and 2060, respectively, reductions of 87% and 92% from 2020. Policies such as increasing clean electricity share, industrial electrification (hydrogen), increasing green power purchases, building electrification, F-gas reduction, and improving industrial energy efficiency standards show significant reduction effects, with clean electricity share being the primary source. Policies like improving industrial energy efficiency standards, increasing industrial product utilization, and increasing clean energy vehicle market penetration are cost-effective; increasing clean electricity share, green power purchases, building electrification, and F-gas reduction effectively balance reduction effects and costs. Industrial electrification (hydrogen) contributes >5% cumulative reduction but faces economic challenges for full-scale promotion in the short term; industrial carbon capture and storage and electrolytic hydrogen contribute <2% cumulative reduction with high costs. Therefore, Guangdong should prioritize cost-effective policies, promote balanced policies, gradually optimize energy structure, achieve clean electricity, and foster green industrial transformation to achieve carbon neutrality at lower economic cost.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3802-0

Constructing built-in electric field in crystalline-amorphous heterostructure bifunctional electrocatalysts for highly efficient overall water splitting at high current density

Exploring efficient bifunctional electrocatalysts for both hydrogen and oxygen evolution reactions is key to water electrolysis. However, the inherently slow reaction kinetics of electrocatalysis are constrained by mass transfer limitations and unsuitable adsorption/desorption dynamics. Herein, a Fe-doped-Ni3S2/NiFeCoCeIn oxide hydroxide (FNS/HEOXY) crystalline–amorphous heterostructure electrocatalyst with a large work function difference (ΔΦ) and strong built-in electric field (BEF) is successfully designed and synthesized. Benefiting from the electron transfer behavior from FNS to HEOXY, the FNS/HEOXY shows outstanding catalytic activity for both hydrogen and oxygen evolution, along with ultra-high stability in an alkaline medium at an industrial-level current density. Moreover, the anion exchange membrane water electrolyzer (AEMWE) assembled by the FNS/HEOXY requires only a minimal cell voltage of 1.83 V to reach 1 A cm−2 at 80 °C. Both experimental and theoretical results confirm the interfacial charge redistribution induced by the strong BEF, thus finely optimizing the adsorption energy. This work proposes a new design principle toward efficient electrocatalysts for energy conversion.

Journal of Fuel Chemistry and Technology2026DOI: 10.1016/S1872-5813(26)60655-X

Machine Learning-Assisted Discovery of Lewis Base Additives for Defect Passivation in Perovskite Solar Cells

Defect-induced nonradiative recombination critically restricts the power conversion efficiency (PCE) and stability of perovskite solar cells (PSCs). Lewis base additives show great promise in defect passivation, but current screening methods rely heavily on empirical trial and error and lack clear design principles, making it difficult to efficiently discover high-performance candidate materials. Here, we present a machine learning (ML) framework to intelligently screen Lewis base molecules for defect passivation. We trained six ensemble models on a dataset of 146 experimental data points, with Light Gradient Boosting Machine (LightGBM) yielding the best classification performance (87% accuracy). Shapley Additive Explanations (SHAP) interpretability analysis subsequently identifies the highest occupied molecular orbital (HOMO) energy (−7.5 to −6.3 eV), additive concentration (2.5 to 6.5 mg/mL), and simplified molecular backbones (O atom ≤ 2, C atom < 5) as critical design criteria. The ML prediction was experimentally validated: (S)-pyrrolidine-3-carboxylic acid ((S)-PCA) and 2-methyl-1,3-cyclopentanedione (MCPD) (Class Ⅱ) improved PCE by 2.22% and 2.01%, respectively, while 3-hydroxymethyl-3-methylbutanenitrile (3-HMBN) (Class Ⅰ) showed minimal gain. Density functional theory (DFT) calculations further confirmed the stronger binding affinities and elevated defect formation energies of Class Ⅱ additives. Notably, the champion (S)-PCA device achieved a PCE of 24.05%. This work established an ML-accelerated paradigm for the rational design of defect passivators, bridging data science and photovoltaics.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4132-y

Pinning effect mitigating Jahn-Teller distortion of manganese-rich phosphate cathodes in sodium-ion batteries

Manganese-iron-based mixed polyanionic cathodes are promising for sodium-ion batteries (SIBs) due to high energy density and operating voltage, but suffer from Jahn-Teller distortion of Mn3+ that degrades cycling stability. Here, a structural modulation strategy via Mg2+ doping is reported. Electrochemically inert Mg2+ forms stronger chemical bonds, adjusts lattice parameters, and suppresses Jahn-Teller distortion, enhancing structural stability. Mg2+ also widens sodium-ion diffusion channels, improving diffusion kinetics. Additionally, an in-situ three-dimensional carbon nanotube (CNT) conductive network boosts electronic conductivity. The resulting NFMPP-Mg@CNTs cathode delivers a discharge capacity of 126 mAh g−1 at 0.1 C (near theoretical 129 mAh g−1), retains 80% capacity after 3000 cycles at 0.5 C, and achieves an energy density of 401 Wh kg−1, among the highest reported for mixed phosphate systems. Ex-situ XPS and first-principles calculations confirm that Mg2+ resists geometric distortion by enhancing lattice stability and widening Na+ diffusion pathways (migration barrier reduced from 0.566 to 0.398 eV). This work provides a viable route for high-energy, long-life SIB cathodes suitable for large-scale energy storage.