A5039648013- Optical Network Technologies
- Advanced Fiber Laser Technologies
- Advanced Photonic Communication Systems
- Neural Networks and Reservoir Computing
- Photonic and Optical Devices
- Crystal Structures and Properties
- Model Reduction and Neural Networks
- Advanced Fiber Optic Sensors
- Nonlinear Optical Materials Research
- Optical Wireless Communication Technologies
- Advanced Optical Network Technologies
- Advanced Graph Neural Networks
- Topic Modeling
- Antenna Design and Analysis
- Gut microbiota and health
- Recommender Systems and Techniques
- IoT and Edge/Fog Computing
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
- Semiconductor Lasers and Optical Devices
- Text and Document Classification Technologies
- Retinal Development and Disorders
- Cancer-related molecular mechanisms research
- Cardiovascular Disease and Adiposity
- Iron-based superconductors research
Beijing University of Posts and Telecommunications
2020-2025
Fudan University
2019-2024
Jilin Agricultural Science and Technology University
2024
State Key Laboratory of Information Photonics and Optical Communications
2023-2024
Nanjing Medical University
2021-2024
Zhongshan Hospital
2019-2024
Changchun University of Chinese Medicine
2024
Chongqing Medical University
2023
University of Toronto
2023
Fujian Institute of Research on the Structure of Matter
2020-2023
Abstract A physics‐informed neural network (PINN) that combines deep learning with physics is studied to solve the nonlinear Schrödinger equation for dynamics in fiber optics. systematic investigation and comprehensive verification on PINN multiple physical effects optical fibers carried out, including dispersion, self‐phase modulation, higher‐order effects. Moreover, both special case (soliton propagation) general (multipulse are investigated realized PINN. In existing studies, mainly...
Xiaotian Jiang, Quan Wang, Bin Wang. Proceedings of the 2019 Conference North American Chapter Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 2019.
Balancing the second-harmonic generation (SHG) coefficient, band gap, and birefringence is a vital but addressable challenge for designing infrared nonlinear optical materials. By applying "rigidity–flexibility coupling" strategy, quaternary diamond-like phosphide, Mg2In3Si2P7, with wurtzite-type superstructure was successfully designed synthesized. Remarkably, it achieved rare coexistence of giant (2 × ZnGeP2 7.1 AgGaS2), suitable gap (2.21 eV), moderate (0.107), wide IR transparent range...
Accumulating evidence suggests that metabolic disorders, including type 2 diabetes mellitus (T2DM), can be treated with traditional Chinese medicine formulas, such as the Gegen Qinlian decoction (GQD). This study elucidates mechanisms by which gut microbes mediate anti-diabetic effects of GQD.
Due to the capability of physics-informed neural network (PINN) solve complex partial differential equations automatically, it has revolutionized field scientific computing. This article studies applicability PINN in optical fiber communication and presents five potential solutions for time-domain, frequency-domain, spatial-domain modeling. By solving nonlinear Schrödinger equation (NLSE), both forward backward waveform propagation are modeled by PINN; inverse problem NLSE, physical...
Abstract Pnictides are superior infrared (IR) nonlinear optical (NLO) material candidates, but the exploration of NLO pnictides is still tardy due to lack rational design strategies. An in‐depth understanding structure–performance relationship urgent for designing novel and eminent pnictide materials. Herein, this work unravels a vital band gap mechanism pnictides, namely P atom with low coordination numbers (2 CN) will cause decrease delocalization non‐bonding electron pairs. Accordingly,...
The gut microbiota plays a crucial role in regulating host metabolism and producing uremic toxins patients with end-stage renal disease (ESRD). Our objective is to advance toward holistic understanding of the ecosystem its functional capacity such patients, which still lacking.Herein, we explore microbiome 378 hemodialytic ESRD 290 healthy volunteers from two independent cohorts via deep metagenomic sequencing metagenome-assembled-genome-based characterization their feces. findings reveal...
Hg 3 AsSe 4 X (X = Br and I) derived from honeycomb layered topology of GaSe, achieved superior optical properties including strong SHG effects, suitable band gaps, large birefringence wide IR transparency range.
Hydrogen-bonded organic frameworks (HOFs) with intrinsic, tunable, and uniform pores are promising candidates to act as membranes for molecular separation, but they yet be explored in this field. Herein, a type of HOF membrane based on thin-film nanocomposite (TFN) containing porous (PFC-1) nanoparticles was successfully fabricated via facile interfacial polymerization method. The homogeneously distributed can provide direct channels the polyamide (PA) active layer molecule separation. Due...
For any system that follows rigorous mathematical and physical theories like fiber-optic system, parameter estimation is crucial for detection monitoring. In this paper, a physics-informed neural network (PINN)-based method proposed optical fiber by solving the inverse problem of nonlinear Schrödinger equation (NLSE), i.e., inferring unknown parameters NLSE. The considers both prior knowledge law characteristics observation data from only transmitted received waveforms. PINN, NLSE are set as...
Since the advent of GPT, large language models (LLMs) have brought about revolutionary advancements in all walks life. As a superior natural processing (NLP) technology, LLMs consistently achieved state-of-the-art performance numerous areas. However, are considered to be general-purpose for NLP tasks, which may encounter challenges when applied complex tasks specialized fields such as optical networks. In this study, we propose framework LLM-empowered networks, facilitating intelligent...
Introduction: Chronic kidney disease (CKD) is associated with a high prevalence of cardiovascular complications, including left ventricular hypertrophy (LVH), which significantly increases morbidity and mortality. LVH in CKD results from complex interplay hemodynamic, neurohormonal, metabolic factors. The Uric Acid-to-High Density Lipoprotein-Cholesterol Ratio (UHR) has recently been proposed as potential marker for outcomes, combining the effects uric acid HDL-C on inflammation risk....
<b><i>Introduction:</i></b> The mortality of peritoneal dialysis (PD) patients remains high. neutrophil to lymphocyte ratio (NLR), as an indicator systemic inflammation, has been considered be a predictor cardiovascular and all-cause in hemodialysis patients. present study aims investigate the relationship between NLR long-term outcome PD <b><i>Materials Methods:</i></b> included who initiated for at least 3 months January 1, 2013, December 31,...
Modern users demand analytical features on fresh, real time data. Offering these to hundreds of millions is a relevant problem encountered by many large scale web companies.
Oral squamous cell carcinoma (OSCC) is one of the most common malignant tumors with a low quality life. Because traditional surgical treatment often causes large wounds and then affects life patients, it urgent to find new efficient drugs good safety for clinical treatment. This study aimed identify potential anticancer starting from Chinese medicine Salvia miltiorrhiza extract. Cryptotanshinone, compound isolated herb miltiorrhiza, was found significantly induce apoptosis inhibit...
Ultrafast nonlinear dynamics plays a crucial role in ultrafast optics, necessitating accurate solutions to the generalized Schrödinger equation (GNLSE) for understanding its underlying mathematical mechanisms. However, GNLSE exhibits intricate physical interactions with highly effects, leading complexity bottleneck numerical methods and inconsistency data-driven methods. Physics-informed neural networks (PINNs) can address these challenges by learning prior knowledge during network...
Abstract Objectives SL4, a chalcone‐based compound, exhibits clearly inhibitory effects on HIF‐1 and has been shown to effectively suppress tumour invasion angiogenesis in vitro vivo . Here, studies were conducted determine SL4's anti‐apoptotic its underlying mechanisms, human cancer cells. Materials methods Cytotoxicity, apoptotic induction involved mechanisms of SL 4 investigated using normal cells, cells mouse xenograft models. The role reactive oxygen species ( ROS ) mitogen‐activated...
We constructed a physics-informed neural network (PINN) to solve the nonlinear Schrödinger equation for different input waveforms. Results show that PINN can accurately characterize pulse evolution in fibers with less complexity SSFM methods.
The sharply growing demand for increased transmission capacity and bandwidth in last meter mile access networks together with the commercialization of fifth generation (5G) wireless systems has been opening up new opportunities non-radio frequency (RF)-based technologies. Visible light communications (VLC) technology is a potential candidate networking 5G, which offers higher spectral efficiency than RF-based Femtocell by three orders magnitude. This paper proposes an all optical...