Stretchable multimodal sensor arrays for hardness perception in bionic skin
Peer-Reviewed Publication
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The development of bioinspired electronic skin plays a pivotal role in enhancing robotic environmental perception and interaction capabilities, with stretchable multimodal tactile sensors serving as the fundamental component. However, existing tactile sensors are often constrained by limited integration density and spatial resolution, hindering their applicability in complex scenarios. To address these challenges, this study proposes a multimodal tactile sensing strategy based on the synergistic integration of pressure and strain sensors. By innovatively embedding strain sensors into the gaps between pressure sensor units, both types of sensors are co-fabricated in a coplanar configuration, enabling simultaneous and high-precision detection of pressure and strain. Leveraging the dual-mode sensing data, the system further enables accurate evaluation of object hardness.
In the era of global space industry's rapid expansion, reusable launch technology addresses cost reduction, but achieving high launch cadence and flight reliability remains critical. This study published in the Chinese Journal of Aeronautics (Volume 38, Issue 10, October 2025, https://doi.org/10.1016/j.cja.2025.103756), proposes that artificial intelligence (AI) would be the potential disruptive technology to solve these challenges. AI enables transformative capabilities for launch vehicles are pointed out in four domains: Agile launch operations enabling automate testing, fault diagnosis, and decision-making for targeting hour-level launch cycles and minute-level fault resolution; High-reliability flight enabling real-time autonomous fault diagnosis, mission replanning, and fault-tolerant control within seconds during anomalies, potentially improving reliability by 1-2 orders of magnitude; Rapid maintenance enabling real-time health monitoring and lifespan prediction for swift re-launch decisions; and Efficient space traffic management enabling predict/resolve orbital conflicts amid growing congestion from satellites and debris. The key challenges for AI applications are analyzed as well, including multi-system coupling, uncertain failure modes and narrow flight corridors, limited sensor data, and massive heterogeneous data processing. Finally, the study also proposes that AI promises substantial efficiency gains in launch vehicle design, manufacturing, and testing through multidisciplinary optimization and reduced reliance on physical testing.
Lithium metal batteries hold great promise for high performance energy storage due to their high theoretical energy density. However, practical implementation is hindered by interfacial side reactions and dendrite growth at the Li metal anode, particularly in carbonate-based electrolytes. Hereby, the authors introduce a novel multifunctional group additive strategy using 2-fluorobenzenesulfonamide (2-FBSA) to address these challenges. The 2-FBSA additive plays a crucial role in modulating the solvation structure of the electrolyte, facilitating Li+ transport kinetics by lowering the desolvation energy barrier. Additionally, the preferential decomposition of 2-FBSA at the anode interface leads to the formation of a robust solid electrolyte interphase (SEI) enriched with inorganic Li salts, including LiF, Li3N, and ROSO2Li. This SEI layer effectively suppresses Li dendrite growth and mitigates parasitic side reactions, resulting in significantly improved cycling stability and rate performance of Li||Li symmetric cells and Li||LiFePO4 full cells. The Li||Li symmetric cell achieves a remarkable lifespan exceeding 2400 h at 0.5 mA cm−2/1 mAh cm−2 , while the Li||LiFePO4 full cell demonstrates a capacity retention of 72% after 400 cycles at 1 C. This study highlights the potential of multifunctional group molecular additive 2-FBSA in interfacial optimization and provides new insights into additive design principles for high performance battery systems.
Developing multifunctional electromagnetic wave absorbing materials capable of operating in complex environments has become crucial for electromagnetic protection. Introducing dielectric ceramic materials with high thermal stability and oxidation resistance into carbon matrices has emerged as an effective strategy to address the high-temperature failure of carbon-based absorbers. In this study, a novel hollow SiC/C nanofiber aerogel was successfully constructed via a hydrothermal-carbothermal reduction method. The material exhibits an ultralight nature, good elasticity, fatigue resistance, high-temperature stability, and excellent electromagnetic wave absorption performance.
Heterojunction structures are favored for constructing photoelectrochemical ultraviolet photodetectors (PEC UV PDs), whereas lattice mismatches impede their optoelectronic performance. This work presents a novel homojunction consisting of two-dimensional (2D) In2O3 nanosheets (NS) and three-dimensional (3D) In2O3 microcubes (MC) with a suitable energy band alignment. 2D In2O3 NS not only shows an enlarged bandgap due to the quantum confinement effect but also effectively upshifts the conductive band and Fermi level stemming from the oxygen vacancy demonstrated by the theoretical simulation and experimental results. The photogenerated carrier dynamic of In2O3 photoanodes is boosted by the 2D-3D homojunction with a built-in electric field and more electrochemically active sites, leading to higher photogenerated carrier separation efficiency, faster interfacial charge transfer, and better self-powered capability. The In2O3 2D-3D homojunction PEC UV PDs exhibit outstanding self-powered deep-UV photoresponse at 0 V, with an ultrahigh responsivity of 316.5 mA/W for 254 nm light, a fast response speed of 15/15 ms, high detectivity of 1.12 × 1012 Jones, and an outstanding UV-vis rejection ratio of 1507, surpassing most recorded PEC UV PDs. This work demonstrates the pivotal role of morphology-controlled homojunction in modulating photogenerated carrier dynamics and offers a new strategy for designing high-performance PEC devices.
A recently published article in Nature Communications by Dr. Qiang Su and colleagues reports a novel molecular pathway that intensifies myocardial injury following coronary microembolization (CME).
Fingerprints are recognized as one of the most reliable biometric features in forensic science. Carbon dots (CDs), a zero-dimensional carbon material, have emerged as an ideal candidate for fluorescence imaging of latent fingerprints, paving the way for a new era of fingerprint nano development technique.
Researchers in Beijing have generated a transcriptomic atlas comparing human fetal tooth germs from the upper and lower jaws at the critical cap stage of development. Previous studies of tooth development mainly focused on mandibular teeth, while this study uncovers gene expression patterns of maxillary teeth and their differences from mandibular tooth germs.
In a paper published in Mycology, a Chinese research team reports new taxonomic findings for dominant endophytic Pleosporales fungi associated with Poaceae (grasses). Using multi-gene phylogenetic analyses and morphological observations, the team revised classification within the families Didymosphaeriaceae and Periconiaceae and clarified species boundaries within the Periconia macrospinosa complex, a common dark septate endophyte in grasses.
The instability of anode catalysts during the oxygen evolution reaction (OER) is a central obstacle to commercializing proton exchange membrane (PEM) electrolyzers. In the highly oxidative and acidic anode environment, catalysts suffer from dissolution, mechanical detachment, and impurity-driven degradation—failure modes that are tightly interconnected and cannot be solved through material optimization alone. This perspective evaluates these coupled degradation pathways and the limitations of current material, structural, and system-level strategies. We argue that durable acidic OER requires mechanistic insight under realistic operating conditions and the coordinated advancement of catalyst design, operando characterization, engineering improvements, and data-driven modeling. Such an integrated framework is essential for developing stable anodes and enabling large-scale, long-lifetime PEM electrolyzers.