A5101809183- Diamond and Carbon-based Materials Research
- Speech and Audio Processing
- Solar Radiation and Photovoltaics
- High-pressure geophysics and materials
- Photovoltaic System Optimization Techniques
- Speech Recognition and Synthesis
- Atomic and Subatomic Physics Research
- Advanced X-ray Imaging Techniques
- Solar Thermal and Photovoltaic Systems
- Nuclear Physics and Applications
- Deception detection and forensic psychology
- Advanced MRI Techniques and Applications
- Photoacoustic and Ultrasonic Imaging
- Force Microscopy Techniques and Applications
- Enhanced Recovery After Surgery
- Neural Networks Stability and Synchronization
- stochastic dynamics and bifurcation
- Eicosanoids and Hypertension Pharmacology
- Cardiac, Anesthesia and Surgical Outcomes
- Optical Imaging and Spectroscopy Techniques
- Anomaly Detection Techniques and Applications
- Quantum Information and Cryptography
- Quantum and electron transport phenomena
- Manufacturing Process and Optimization
- Quantum optics and atomic interactions
Chinese Academy of Sciences
2013-2025
Songshan Lake Materials Laboratory
2020-2025
National Laboratory for Superconductivity
2022-2025
Institute of Physics
2013-2025
Beijing Academy of Quantum Information Sciences
2018-2025
Zhejiang Chinese Medical University
2024-2025
Suzhou University of Science and Technology
2011-2024
Donghua University
2023-2024
Hangzhou City University
2023-2024
North China University of Water Resources and Electric Power
2024
Harmonic generation, a notable non-linear phenomenon, has promising applications in information processing. For spin-waves ferromagnetic materials, great progress been made the generation higher harmonics, however probing coherence of these harmonics is challenging. Here, using in-situ diamond sensors, we study coherent harmonic spin waves soft ferromagnet. High-order resonance lines are generated via microwave input and detected by nitrogen-vacancy (NV) centers nanodiamonds. The phase...
Quantum sensors have recently achieved to detect the magnetic moment of few or single nuclear spins and measure their resonance (NMR) signal. However, spectral resolution, a key feature NMR, has been limited by relaxation sensor kHz at room temperature. The resolution NMR signals from can be improved by, e.g., using quantum memories, however expense sensitivity. Classical on other hand measured with exceptional continuous measurement techniques, without compromising To apply these techniques...
There has been growing interest in using photovoltaic (PV) energy harvesting technology to reduce reliance on mineral-based energy. Partial shading scenarios (PSS) significantly affect the electrical characteristics of a PV generator. However, few studies have devoted detection and assessment PSS. In this paper, rate strength are used characterize A pattern algorithm is proposed estimate number shaded modules string distinguish PSS from uniform irradiation scenarios. multiple-output support...
In the field of wind power generation, turbines serve as foundation for harnessing electrical energy. However, assembly process information is typically dispersed among various modalities such 3D models, natural text, and images in form documents. The difficulty effectively utilising historical knowledge hampers efficiency design subsequently affects production efficiency. To address this issue, paper constructs a Multi-modal Process Knowledge Graph Wind Turbines, named MPKG-WT....
Single-shot readout of qubits is required for scalable quantum computing. Nuclear spins are superb memories due to their long coherence times but difficult be read out in single shot weak interaction with probes. Here we demonstrate single-shot a weakly coupled $^{13}$C nuclear spin, which unresolvable traditional protocols. We use dynamical decoupling pulse sequences selectively enhance the entanglement between spin and nitrogen-vacancy center electron tuning measurement strong, projective...
Any realistic quantum system is inevitably subject to an external environment. This environment makes the open-system dynamics significant for many tech-nologies, such as entangled-state engineering, simulation, and sensing. The information flow of a its usually induces Markovian process, while backflow from exhibits non-Markovianity. practical environment, consisting large number degrees freedom, hard control, despite some attempts on controllable transitions non-Markovian dynamics. Here,...
Cervical cancer is one of the cancers commonly found in female reproductive system and associated with obesity. However, exact connection mechanisms remain unclear. Screening key therapeutic targets natural products good anti-tumor activity has become a crucial strategy for therapy. Cryptotanshinone anti-inflammatory anti-cancer properties. Key related low-toxicity active ingredients were identified as components treatment strategies. Therefore, network pharmacology cellular biology...
Atopic dermatitis (AD) is a common inflammatory skin condition characterized by erythema and pruritus. Its precise pathogenesis remains unclear, though factors such as genetic predisposition, autoantigen response, allergen exposure, infections, barrier dysfunction are involved. Research suggests correlation between AD mitochondrial dysfunction, well oxidative stress in tissues. Skin sample datasets related to (GSE36842, GSE120721, GSE16161, GSE121212) were retrieved from the GEO database....
Precise parameter estimation plays a central role in science and technology. The statistical error can be decreased by repeating measurement, leading to that the resultant uncertainty of estimated is proportional square root number repetitions accordance with limit theorem. Quantum estimation, an emerging field quantum technology, aims use resources yield higher precision than classical approaches. Here we report first room-temperature implementation entanglement-enhanced phase solid-state...
Nitrogen–vacancy (NV) center in diamond is one of the most promising candidates to implement room temperature quantum computing. In this review, we briefly discuss working principles and recent experimental progresses spin qubit. These results focus on understanding prolonging coherence, steering probing states with dedicated control techniques, exploiting nature these multi-spin systems, such as superposition entanglement, demonstrate superiority information processing. Those techniques...
Abstract Quantum systems are under various unwanted interactions due to their coupling with the environment. Efficient control of quantum system is essential for information processing. Weak-coupling ubiquitous, and it very difficult suppress them using optimal method, because operation at a time scale coherent life system. Nitrogen-vacancy (NV) center diamond promising platform The $$^{13}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mrow />...
Abstract Sepsis arises from an uncontrolled inflammatory response triggered by infection or stress, accompanied alteration in cellular energy metabolism, and a strong correlation exists between these factors. Alpha‐ketoglutarate (α‐KG), intermediate product of the TCA cycle, has potential to modulate is considered crucial link metabolism inflammation. The scavenger receptor (SR‐A5), significant pattern recognition receptor, assumes vital function anti‐inflammatory reactions. In current...
Megabar pressures are of crucial importance for cutting-edge studies condensed matter physics and geophysics. With the development diamond anvil cell (DAC), laboratory high pressure have entered megabar era decades. However, it is still challenging to implement in situ magnetic sensing under ultrahigh pressures. In this work, we demonstrate optically detected resonance coherent quantum control nitrogen-vacancy (NV) center, a promising sensor inside DAC, up 1.4 Mbar. The dependence optical...
The diamond anvil cell-based high-pressure technique is a unique tool for creating new states of matter and understanding the physics underlying some exotic phenomena. In situ sensing spin charge properties under high pressure crucially important but remains technically challenging. While nitrogen-vacancy (NV) center in promising quantum sensor extreme conditions, its dynamics control remain elusive. this study, we demonstrate coherent control, relaxation, dephasing measurements ensemble NV...
With the development of synchrotron radiation technology and improvement light source coherence, ptychography has developed rapidly. Ptychography algorithm solves problems slow convergence easily falls into local optimal solution stagnation traditional coherent diffraction imaging algorithm. It advantages large field view, robustness algorithm, high tolerance to error wide range applications, is becoming a hot research direction in imaging. reconstructs complex amplitude distribution...
As water distribution networks expand, evaluating pipeline network leakage risk has become increasingly crucial. Contrary to traditional evaluation methods, which are often hampered by subjective weight assignment, data scarcity, and high expenses, data-driven models provide advantages like autonomous learning, comprehensive coverage, cost-efficiency. This study introduces a framework leveraging graph neural assess in networks. Employing geographic information system (GIS) from central...