News from China
Updates every hour. Last Updated: 25-Dec-2025 09:11 ET (25-Dec-2025 14:11 GMT/UTC)
Numerical analysis of NH3-CH4-air mixing quality effects on NOx formation in an air-staged gas turbine model combustor
Shanghai Jiao Tong University Journal Center- Journal
- Frontiers in Energy
Organic radical‑boosted ionic conductivity in redox polymer electrolyte for advanced fiber‑shaped energy storage devices
Shanghai Jiao Tong University Journal CenterFiber-shaped energy storage devices (FSESDs) with exceptional flexibility for wearable power sources should be applied with solid electrolytes over liquid electrolytes due to short circuits and leakage issue during deformation. Among the solid options, polymer electrolytes are particularly preferred due to their robustness and flexibility, although their low ionic conductivity remains a significant challenge. Here, we present a redox polymer electrolyte (HT_RPE) with 4-hydroxy-2,2,6,6-tetramethylpiperidine-1-oxyl (HT) as a multi-functional additive. HT acts as a plasticizer that transforms the glassy state into the rubbery state for improved chain mobility and provides distinctive ion conduction pathway by the self-exchange reaction between radical and oxidized species. These synergetic effects lead to high ionic conductivity (73.5 mS cm−1) based on a lower activation energy of 0.13 eV than other redox additives. Moreover, HT_RPE with a pseudocapacitive characteristic by HT enables an outstanding electrochemical performance of the symmetric FSESDs using carbon-based fiber electrodes (energy density of 25.4 W h kg−1 at a power density of 25,000 W kg−1) without typical active materials, along with excellent stability (capacitance retention of 91.2% after 8,000 bending cycles). This work highlights a versatile HT_RPE that utilizes the unique functionality of HT for both the high ionic conductivity and improved energy storage capability, providing a promising pathway for next-generation flexible energy storage devices.
- Journal
- Nano-Micro Letters
Super-strong intelligent fiber that "adheres upon contact with water"
Chinese Chemical SocietyPeer-Reviewed Publication
A team led by Pei-Yi Wu and Sheng-Tong Sun at Donghua University reported a strong hydrogel fiber material with water-induced adhesion properties that resolves the structural contradiction of simultaneously achieving mechanical strength and self-adhesion. The fiber exhibits reversible humidity-responsive characteristics, maintaining high strength in a dry state and rapidly transforming into a highly adhesive state upon contact with water. This water-activated self-adhesive behavior is completely reversible, providing new insights for the design of high-performance adhesive materials in fields such as intelligent capture and micro-soft robots. The article was was recently published as an open access research article in CCS Chemistry, the flagship journal of the Chinese Chemical Society.
- Journal
- CCS Chemistry
Sugarcane's second act: Transforming waste into soil gold with biochar
Biochar Editorial Office, Shenyang Agricultural UniversityIn an innovative twist to sustainable agriculture, a new study reveals how sugarcane waste can be transformed into biochar—a powerful soil amendment that enhances soil quality. This research not only highlights a green approach to waste management but also provides a significant boost to soil health, offering a win-win for both the environment and farming practices.
- Journal
- Carbon Research
Scientists identify the key forces that shape the environmental fate of iron nanoparticles
Biochar Editorial Office, Shenyang Agricultural UniversityPeer-Reviewed Publication
New study reveals how natural humic substances reshape soil carbon cycling and boost antibiotic resistance
Biochar Editorial Office, Shenyang Agricultural UniversityPeer-Reviewed Publication
Optical chip pioneers physical-layer public-key encryption with partial coherence
Opto-Electronic Journals GroupPeer-Reviewed Publication
- Journal
- Opto-Electronic Advances
Low precision training achieves win-win in efficiency and accuracy
Higher Education PressPeer-Reviewed Publication
Decreasing Precision with layer Capacity trains deep neural networks with layer-wise shrinking precision, cutting cost by up to 44% and boosting accuracy by up to 0.68%
- Journal
- Frontiers of Computer Science
E2CNN: Entity-type-enriched cascaded neural network for Chinese financial relation extraction
Higher Education PressPeer-Reviewed Publication
E2CNN cascades span-type ID with subject-object extraction for Chinese financial knowledge graph construction
- Journal
- Frontiers of Computer Science