A5100345861- Plasmonic and Surface Plasmon Research
- Metamaterials and Metasurfaces Applications
- Advancements in Semiconductor Devices and Circuit Design
- Semiconductor materials and devices
- Photonic and Optical Devices
- Quantum Dots Synthesis And Properties
- Environmental Sustainability in Business
- 2D Materials and Applications
- Optical Coatings and Gratings
- FinTech, Crowdfunding, Digital Finance
- Banking stability, regulation, efficiency
- Quantum and electron transport phenomena
- Animal Vocal Communication and Behavior
- Ubiquitin and proteasome pathways
- Corporate Social Responsibility Reporting
- Thermal properties of materials
- Optical Systems and Laser Technology
- Protein Degradation and Inhibitors
- Fuel Cells and Related Materials
- PI3K/AKT/mTOR signaling in cancer
- Photonic Crystals and Applications
- Photoacoustic and Ultrasonic Imaging
- Nanopore and Nanochannel Transport Studies
- Advanced Photonic Communication Systems
- Silicon and Solar Cell Technologies
Southwestern University of Finance and Economics
2025
Peking University
2018-2024
Yunnan University of Finance And Economics
2024
Collaborative Innovation Center of Quantum Matter
2019-2022
Xidian University
2022
Beijing University of Posts and Telecommunications
2022
Center for Interdisciplinary Studies
2020
China University of Petroleum, Beijing
2020
Shandong University
2014-2019
China University of Geosciences
2019
Optical chirality occurs when materials interact differently with light in a specific circular polarization state. Chiroptical phenomena inspire wide interdisciplinary investigations, which require advanced designs to reach strong for practical applications. The development of artificial intelligence provides new vision the manipulation light-matter interaction beyond theoretical interpretation. Here, we report self-consistent framework named Bayesian optimization and convolutional neural...
Chirality plays an important role in biological processes, and enantiomers often possess similar physical properties different physiologic functions. In recent years, chiral detection of become a popular topic. Plasmonic metasurfaces enhance weak inherent effects biomolecules, so they are used detection. Artificial intelligence algorithm makes lot contribution to many aspects nanophotonics. Here, we propose nanostructure design method based on reinforcement learning devise nanostructures...
ABSTRACT Given that greenwashing is unlikely to disappear in the near future, exploring its potential positive effects holds significant importance. This study investigates impact of on corporate energy consumption intensity (ECI) based underlying motivations for greenwashing. Using micro data A‐share listed companies from 2012 2020, we find can promote ECI reduction by reducing financial constraints and promoting reputation, confirming new motivation result remains stable after a series...
Abstract Valley pseudospin in transition metal dichalcogenides monolayers intrinsically provides additional possibility to control valley carriers, raising a great impact on valleytronics following years. The spin-valley locking directly contributes optical selection rules which allow for valley-dependent addressability of excitons by helical pumping. As binary photonic addressable route, manipulation polarization states is indispensable while effective methods at deep-subwavelength scale...
The manipulation of polarization states beyond the optical limit presents advantages in various applications. Considerable progress has been made design meta-waveplates for on-demand transformation, realized by numerical simulations and parameter sweep methodologies. However, due to limited freedom these classical strategies, particular challenges arise from emerging requirement multiplex devices multidimensional light, which urge a large number different nanostructures with great control...
In this paper, we propose a high-speed PIN photodiode with composite absorption layer. It supports 3-dB bandwidth of 43 GHz and can be used in 100 Gbit/s optical receivers. The layer consists gradually-doped p-type an undoped has different carrier transport mechanisms from the traditional PIN-PD single intrinsic accelerates electron diffusion Comparison three kinds photodiodes layers shows that proposed provides highest while ensuring satisfactory responsivity. simulation numerical model,...
Accurate identification and quantification of microvascular patterns are important for clinical diagnosis therapeutic monitoring using optical-resolution photoacoustic microscopy (OR-PAM). Due to its limited depth field, conventional OR-PAM may not fully reveal with enough details in range, which affects the segmentation quantification. Here, we propose a robust vascular approach via combining multi-focus image fusion enhancement filtering (MIFEF). The is constructed based on multi-scale...
Energy transfer in heterostructures is an essential interface interaction for extraordinary energy conversion properties, which promote promising applications light-emitting and photovoltaic devices. However, when atomic-layered transition metal dichalcogenides (TMDCs) act as the acceptor because of strong Coulomb interactions, transferred can be consumed by nonradiative exciton annihilations, hampers development Hence, revealing mechanism related relaxation processes from aspect...
Abstract Structural design is an important driving force for technological development in nanophotonics. To achieve better performance of nanophotonic devices, the freedom structural space needs to be expanded. Unsupervised learning algorithm deep provides a great platform expand structures and avoid “curse dimensionality” effectively. It performs well on extracting features from high‐dimensional data excavating potential rules. In this work, unsupervised convolutional neural network built...
In this paper, the recent advances of our studies on compact aging modeling bias temperature instability (BTI), hot carrier degradation (HCD) and mixed-mode transistor reliability are presented from trap-based approaches. Origins BTI with contributions different types traps identified advanced characterization techniques. An open-source model, industry-standard model interface OMI capability capturing both recovery, has been developed for SPICE simulation Design-Technology Co-optimization...
Deducing the design parameters of semiconductor lasers from a desired spectrum and light-current (L-I) curve, etc., i.e. inverse technique, is highly demanded both academically in industry. Here, we propose an approach to obtain laser by combining deep learning algorithm particle swarm optimization (PSO) method. The deep-learning neural network (NN) trained traveling-wave model (TWM) calculated database, used predict output power for any given new set parameters. standard deviation NN...
Cathodoluminescence can probe photonic responses of nanostructures at high spatial and energy resolution, providing a powerful tool to investigate the radiative properties under electron excitations in nanophotonics. The semiconductors be effectively modulated by surrounding electromagnetic environment that directly determines efficiency emitters. As emitter devices develop into nanoregion, nanoscale control their spontaneous emission is essential for deeper comprehension intrinsic physics....
Abstract With the growing demand for nanodevices, there is a concerted effort to improve design flexibility of nanostructures, thereby expanding capabilities nanophotonic devices. In this work, Laplacian‐weighted binary search (LBS) algorithm proposed generate unidirectional transmission metasurface from high‐dimensional space, offering an increased degree freedom. The LBS incorporates topological continuity based on Laplacian, effectively circumventing common issue high structural...
Nuclear protein of the testis (NUT) carcinoma is a rare and highly aggressive malignancy characterized by rearrangement NUT midline family member 1 (NUTM1) gene. Nevertheless, standardized strategies for its diagnosis treatment remain unavailable, underscoring need expert consensus. To address this gap, we conducted systematic review to gather comprehensive information on from five databases: PubMed, Web Science, Embase, Cochrane Library, Ovid Medline. This consensus was collaboratively...
The artificial neural network method has been explored for compact device modeling. In this work, an automatic integration approach is presented generic charge By utilizing the availability of partial derivatives a given network, loss function including only mutual capacitance designed terminal network. trained against data to obtain accurate model. A flow sizing proposed from considerations both accuracy and circuit simulation speed. It found that unified with two hidden layers serves...
Abstract The electrical energy consumption forecasting for crude oil pipeline is critical in many aspects, such as target setting, batch scheduling, unit commitment, etc. For actual pipelines, the nonlinearity of sample strong. affected by parameters, including physical property parameter, pipe station environmental parameter and operating parameter. At same time, whole process has characteristics intermittency complex fluctuations. above three main reasons make complicated. In past few...
V2G technology achieves a two-way interaction of the grid and electric vehicles (EVs), it makes plug-in hybrid vehicle (PHEV) be able to access participate in scheduling. By technology, PHEVs can provide FM spinning reserve ancillary services such as economic dispatch. With extensive use (PHEVs), its important impact on charge discharge process will safe operation. Firstly, article proves capacity normal distribution from theory, based which establish stochastic dispatch model. The results...