A5100718046- Advancements in Solid Oxide Fuel Cells
- Fuel Cells and Related Materials
- Conducting polymers and applications
- Perovskite Materials and Applications
- Advanced Battery Materials and Technologies
- Advanced Photocatalysis Techniques
- Nanoplatforms for cancer theranostics
- Electrocatalysts for Energy Conversion
- Copper-based nanomaterials and applications
- Thermal Expansion and Ionic Conductivity
- Radiomics and Machine Learning in Medical Imaging
- TiO2 Photocatalysis and Solar Cells
- Advanced Nanomaterials in Catalysis
- Advancements in Battery Materials
- Magnetic and transport properties of perovskites and related materials
- Electronic and Structural Properties of Oxides
- Nanoparticle-Based Drug Delivery
- Organic Electronics and Photovoltaics
- Quantum Dots Synthesis And Properties
- Analytical Chemistry and Sensors
- Solid-state spectroscopy and crystallography
- Advanced Biosensing Techniques and Applications
- Video Coding and Compression Technologies
- Cancer, Stress, Anesthesia, and Immune Response
- Solar-Powered Water Purification Methods
Fudan University
2024-2025
Tongji University
2024-2025
Tongji Hospital
2024-2025
China University of Geosciences
2020-2023
Comba (China)
2023
Feng Chia University
2023
Southern Medical University
2022
Henan Polytechnic University
2017-2020
University of California, Los Angeles
2018
University of California System
2018
Optical imaging in the second near-infrared window (NIR-II, 1000-1700 nm) holds great promise for biomedical detection due to reduced tissue scattering and autofluorescence. However, rational design of NIR-II probes with superior excitation wavelengths balance effects water absorption remains a challenge. To address this issue, here we developed series Ho
We present Step-Video-T2V, a state-of-the-art text-to-video pre-trained model with 30B parameters and the ability to generate videos up 204 frames in length. A deep compression Variational Autoencoder, Video-VAE, is designed for video generation tasks, achieving 16x16 spatial 8x temporal ratios, while maintaining exceptional reconstruction quality. User prompts are encoded using two bilingual text encoders handle both English Chinese. DiT 3D full attention trained Flow Matching employed...
Abstract Immunocytotherapy holds significant promise as a novel cancer treatment, but its effectiveness is often hindered by delayed responses, requiring evaluations every 2–3 weeks based on current diagnostic methods. Early assessment of immune cell‐tumor cell interactions could provide more timely insights into therapeutic efficacy, enabling adjustments to treatment plans. In this study, noninvasive nanosensor (C8R‐DSNP) for real‐time monitoring in vivo activities the second near‐infrared...
High performance microprobes for combined sensing of glucose and choline were fabricated using microcontact printing (μCP) to transfer oxidase (ChOx) (GOx) onto targeted sites on microelectrode arrays (MEAs). Most electroenzymatic MEAs neuroscience applications are created by manual enzyme deposition, which becomes problematic when the array feature size is less than or equal ∼100 μm. The μCP process used here relies use soft lithography create features a polydimethylsiloxane (PDMS)...
Developing catalytic materials with highly efficient oxygen reduction reaction (ORR) and evolution (OER) is essential for lower-temperature solid oxide fuel cell (SOFC) electrolysis (SOEC) technologies. In this work, a novel triple perovskite material, Nd0.5Ba0.5Co1/3Ni1/3Mn1/3O3-δ, has been developed employed as catalyst both ORR OER in SOFC SOEC operations at relatively lower temperatures, showing low polarization resistance of 0.327 Ω cm2, high-power output up to 773 mW cm-2 650 °C, high...
SrTiO3/LaAlO3 heterostructures were constructed, which achieved a high ionic conductivity of 0.24 S cm-1 and fuel cell power output 675 mW cm-2 at 520 °C. Theoretical calculations experimental determinations found that the resultant built-in electric field plays an important role in fast conduction through interface with electron accumulation layer region.