Multi-functional Bilayer Carbon Structures with Micrometer-Level Physical Encapsulation As a Flexible Cathode Host for High-Performance Lithium-Sulfur Batteries
CHEMICAL ENGINEERING JOURNAL(2023)
Fuzhou Univ | Nanyang Technol Univ
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

Ultrahigh-capacity and Dendrite-Free Lithium Metal Anodes Enabled by Lithiophilic Bimetallic Oxides
被引用13
Vertical Graphene Film Enables High-Performance Quasi-Solid-State Planar Zinc-Ion Microbatteries.
被引用10
被引用10
Application and Progress of Confinement Synthesis Strategy in Electrochemical Energy Storage
被引用3
被引用17
Ferroconcrete-like Multilayer VACNTs@Si Film for Ultra-High Areal and Volumetric Li-ion Storage
被引用2
被引用6
High-Performance Zn-Ion Microbatteries by Subtractive Manufacturing
被引用6
A Lithiophilic and Conductive Interlayer for Dendrite-Free Lithium Metal Anodes
被引用8
被引用6
被引用14
Carbon Materials Dedicate to Bendable Supports for Flexible Lithium-Sulfur Batteries
被引用17
被引用3
被引用2
被引用2
Research Progress of Liquid Electrolytes for Lithium Metal Batteries at High Temperatures
被引用7
被引用3
被引用29
被引用0
被引用2
Bidirectional Redox Catalyst with Rambutan-Like Structure for Advanced Lithium-Sulfur Battery
被引用8
被引用6
被引用1
被引用0