Researchers observe nodeless superconducting gap and discover electron-boson coupling in Ruddlesden-Popper bilayer nickelate superconducting thin films. These findings provide crucial evidence for the mechanisms of superconducting gap symmetry and pairing.
A quantum processor with nine interacting spins outperformed classical networks with thousands of nodes in realistic weather forecasting tasks. The researchers leveraged the natural dynamics of quantum systems to bypass complex circuits, achieving higher accuracy than classical reservoir models.
A new PN junction design enables a single device to exhibit three independent working modes: photosensing, photosynapse, and photomemory. The device demonstrates stable self-driven photosensing characteristics and achieves multi-state optical memory capacity.
Researchers unveil new biophysical mechanism termed 'Kiss-Shrink-Run' resolving the 50-year-old controversy on synaptic vesicle release and rapid recycling. This breakthrough offers fresh insights into brain function and disease.
The iGaN Laboratory at USTC developed a novel GaN-based cascaded photodiode architecture for a miniaturized ultraviolet spectrometer and realized on-chip spectral imaging. The device achieves high-precision spectral detection and high-resolution multispectral imaging with a response speed on the nanosecond scale.
Researchers from USTC deciphered the temperature-governed processes of lithium-mars gas batteries, finding that temperature regulates a balance between two-electron and four-electron processes. Low temperatures cause interface passivation, while high temperatures stimulate decomposition efficiency through the generation of highly activ...
Researchers from USTC synthesize monolayer WS2 lateral homojunctions with tailored defect architectures, enabling controllable direct chemical vapor deposition growth. The structures exhibit distinct field-effect characteristics and demonstrate rail-to-rail operation in logic inverters.
Researchers from USTC have developed a novel method to degrade PTFE and PFASs at low temperatures using supercapacitor-assisted electrophotocatalysis. The process achieves high efficiency with minimal energy consumption, providing new perspectives for solving environmental problems.
Researchers at USTC develop a method to generate high-order vector vortex beams with arbitrary polarization distribution. They utilize a single q-plate to control the phase and polarization of light, achieving flexible control and cost-effectiveness.
A research team from USTC used tele-seismic double-difference tomography technology to reveal the morphological changes of the Pacific subducting slab beneath Northeast China. The study found that the local insertion of the subducting slab into the lower mantle controls deep-focus seismicity and Changbaishan volcanism.
Researchers at USTC found that halofuginone increases growth differentiation factor 15 (GDF15) and fibroblast growth factor 21 (FGF21), reducing body weight and improving metabolic health. This dual approach reduces appetite and increases energy expenditure, offering a potential new drug for treating obesity.
A USTC research team monitored seismic wave speeds in the Anninghe fault zone, finding distinct diurnal and semi-diurnal cycles that correlated with tidal forces. These periodic changes reflect the impact of tidal forces on the internal stress field of the fault zone, offering a new method for detecting earthquake precursors.
Researchers from USTC developed a series of CPL 3D display systems using integrated microelectronic printing and self-positioning capabilities. This technology enables real-time dynamic modulation of luminescent units, achieving high-quality stereoscopic imaging with minimized visual fatigue.
A team from USTC successfully dates 1-kilogram Antarctic ice samples using a novel all-optical atom trap trace analysis method, providing a powerful tool for studying paleoclimate changes. The technique enables the detection of rare krypton-81 atoms in ancient ice, overcoming a significant technical challenge.
Researchers developed a rapid fluorochromic sensing method for detecting tertiary amines and opioids, enabling faster and more accurate analysis. The new approach uses photoinduced charge-transfer complexes to differentiate between structurally similar amines based on their substituents and molecular flexibility.
Researchers at USTC directly observed ion acceleration through reflection off laser-generated magnetized collisionless shocks, demonstrating the role of shock drift acceleration. The experiment confirmed SDA's dominance over shock surfing acceleration, shedding light on cosmic particle origins and potential applications in fusion.
Capsule eliminates I/O overhead and optimizes performance by designing a subgraph loading mechanism and pipelined parallel strategy for large-scale graph neural network training, providing 22.24% memory usage and up to 12.02x performance improvement over existing systems
Researchers at USTC create solid-state membrane with high-performance proton gating regulated by ambient humidity, surpassing existing technologies. The membrane achieves an unprecedented proton gating ratio of 5,740 due to reversible formation and disruption of water bridges.
Researchers from USTC explore relationship between Bell nonlocality and randomness in MIMO systems, discovering that certain inequalities exhibit strong connection to randomness. They validate findings with experiments using high-dimensional photonic systems, demonstrating SATWAP inequalities' effectiveness for certifying true randomness
Research teams at USTC develop a high-intensity multifunctional shock tube device with variable cross-section and curved wall surfaces. They successfully generate strong converging shock waves and overcame airflow choking problems, enabling experimental research on fluid interfaces and turbulent mixing.
Research teams at USTC develop a tunable open optical microcavity to overcome the efficiency threshold of 2/3 for scalable linear optical quantum computing. The single-photon source achieves an efficiency of 71.2% and breaks through the loss-tolerant threshold.
A research team from USTC quantified the link between climate change and urban fire risks using a comprehensive city-level fire incident database. The study found that building fire frequency decreases with rising temperatures, but vehicle and outdoor fires increase.
A research team at USTC has created a new strategy to prepare nacre-like ceramets using deformable alumina microspheres coated with nickel salt. The material exhibits excellent bending strength and fracture toughness, and can be mass-produced in various shapes through simple techniques.
The USTC team developed a 105-qubit superconducting quantum processor that achieves a coherence time of 72 μs and outperforms the world's most powerful supercomputer by 15 orders of magnitude. This milestone marks a significant upgrade from its predecessor, Zuchongzhi-2, and demonstrates a record speedup in circuit sampling.
Researchers from USTC unveil planar optical device that enhances dark-field microscopy capabilities, achieving super-resolution imaging. The compact device uses a scattering layer and metallic film to generate dark-field speckle patterns, enabling high-contrast imaging with improved spatial resolution.
A novel population of bladder-resident macrophages, suPVMs, prevents hematogenous dissemination of uropathogens by releasing macrophage extracellular traps (METs). suPVMs form a bladder-blood immune barrier, preventing bacterial invasion into deeper bladder tissues and facilitating neutrophil infiltration.
Researchers from USTC create lightweight prosthetic hand with 19 degrees of freedom, mimicking human hand functions and movement. The hand boasts human-level dexterity, enabling daily tasks like combing hair, writing, and playing chess.
Researchers at USTC achieve electrical control over spin filling sequence in bilayer graphene quantum dot, leveraging trigonal warping effect and minivalley interactions. This finding holds promise for generating 3-spin states and simulating SU(3) symmetry, with implications for quantum computing and advanced electronics.
A research team at USTC has introduced a new chemical battery system utilizing hydrogen gas as the anode, achieving exceptional electrochemical performance and a round-trip efficiency of 99.7%. The Li-H battery demonstrated high theoretical energy density and stable voltage, making it a strong candidate for next-generation power storage.
A research team has uncovered the propagation and toughening mechanism of tortuous crack front in bioinspired anisotropic heterogeneities. They developed an optimization design for toughness amplification by manipulating microstructural orientation, leading to a 3D helical crack-tip configuration.
Researchers found that IGFBP6 levels are diminished in atherosclerotic plaques and serum from patients with coronary artery disease, suggesting it as a potential therapeutic target. Overexpression of IGFBP6 reversed pro-inflammatory effects induced by disturbed flow and tumor necrosis factor.
A team of researchers has observed counterflow superfluidity in a two-component Mott insulator for the first time, providing key evidence for this novel quantum state. The study uses ultracold atomic quantum simulation to explore rich quantum modulation and observational techniques.
A USTC team decoded haze sources and formation mechanisms with sulfur isotopes. Coal combustion experiments showed that particulate matter from coal is a significant contributor to haze in North China.
A USTC research team developed a non-invasive RF-based system for monitoring heart rate variability with clinical-grade accuracy over extended periods. The system successfully overcomes interference from respiratory motion and performs well in automatic classification of heartbeat abnormalities.
A research team at USTC developed an on-chip photonic simulator that can simulate arbitrary-range coupled frequency lattices, a crucial step towards understanding low-dimensional materials. The innovative approach uses thin-film lithium niobate chips to create lattice structures in the frequency domain.
Researchers at USTC successfully simulated Braiding operations of Majorana fermions to determine Jones polynomials of different links. They expanded a single-photon encoding method to dual-photon spatial methods and introduced a quantum cooling device, achieving multi-step quantum evolution operations with high fidelity.
Researchers at USTC have developed a novel photocatalyst that can efficiently degrade 'Forever chemicals' at low temperatures. The method involves the use of a super-photoreductant, KQGZ, which can promote complete defluorination and mineralization of Teflon and small molecule PFASs.
Researchers have designed a new strategy for creating pure-red organic light emitting diodes (OLEDs) with improved efficiency and color purity. The molecule BNTPA achieves record-breaking external quantum efficiency, making it suitable for next-generation high-definition displays and energy-efficient lighting systems.
Researchers from USTC and Harvard Medical School create PocketGen, a deep generative model for generating protein pocket sequences and spatial structures. The model achieves over 10-fold improvement in speed and demonstrates high accuracy in binding small molecules.
Researchers reconstructed the energy spectrum of a significant SEP event on February 15, 2022, for Mars using data from multiple detectors and models. This breakthrough enhances understanding of the Martian radiation environment, crucial for future mission safety.
A team developed a novel tactile perception method based on structural color, achieving high spatial resolution and force accuracy. The method, called IrisTact, outperforms current vision-based tactile sensors by fully exploiting the rich tactile information in structural color patterns.
Researchers at USTC observe higher-order and fractional discrete time crystals in floquet-driven Rydberg atomic dissipative systems, exhibiting robustness against perturbations. The team identifies phase transitions between adjacent integer DTCs and discovers fractional DTCs with stability against perturbations.
A research group at USTC found that γ rays can facilitate the conversion of aqueous-phase methane to diverse products, including hydrocarbons, oxygenated compounds, and amino acids like glycine. The reaction rate is contingent on free radical concentrations and does not significantly influence temperature.
A USTC research team has developed a Pt-based high-entropy-alloy catalyst that significantly enhances the efficiency of propane dehydrogenation. The catalyst achieved propylene formation rates of 256 and 390 mol C₃H₆ gₚₜ⁻¹ h⁻¹ at 550 °C and 600 °C, respectively, with high selectivity for propylene in a long-term stability test.
Scientists have successfully created a Schrödinger-cat state with a minute-scale lifetime, significantly enhancing quantum metrology measurement sensitivity. The long-lived state exhibits enhanced magnetic field sensitivity and is immune to intensity noise and spatial variations of the optical lattice.
A global convection-permitting model developed by a team from USTC accurately predicted the 2020 plum rain event in Japan, capturing its intensity and location. The model improved forecast accuracy at high resolutions, aligning well with observational data.
Researchers from USTC discovered that current sheets in magnetosheath originate from fast magnetosonic waves excited by ion resonance instability, leading to magnetic reconnection and energy dissipation. The study provides insights into the formation mechanism of coherent current sheet structures in turbulent plasma.
A research team developed a metal-organic framework (MOF) that suppresses charge recombination, enabling efficient overall water splitting. The MOF's dynamic structural twist prolongs the lifetime of excited-state electrons.
A USTC team led by Researcher LIU Ji unveiled an adrenal-independent pathway, the hypothalamus-sympathetic-liver (HSL) axis, to mediate stress-induced glucose release. This new pathway regulates glucose homeostasis and provides potential therapeutic targets for stress-related metabolic disorders.
A new deep learning model predicts protein conformational changes by leveraging a large-scale database of protein dynamics. The PATHpre model demonstrates robust predictive capabilities across proteins with varying sequence lengths, revealing new insights into protein function and regulation.