A5100747795- Synthesis and properties of polymers
- Silicone and Siloxane Chemistry
- Metal complexes synthesis and properties
- Advanced Sensor and Energy Harvesting Materials
- DNA and Nucleic Acid Chemistry
- Epoxy Resin Curing Processes
- Liquid Crystal Research Advancements
- Ferrocene Chemistry and Applications
- Library Science and Information Systems
- Synthesis and Biological Evaluation
- Advanced Polymer Synthesis and Characterization
- Synthesis and Properties of Aromatic Compounds
- Data Quality and Management
- Photopolymerization techniques and applications
- Interactive and Immersive Displays
- Advanced Materials and Mechanics
- Semantic Web and Ontologies
- Dielectric materials and actuators
- Natural Language Processing Techniques
- Supramolecular Self-Assembly in Materials
- Synthetic Organic Chemistry Methods
- Organometallic Complex Synthesis and Catalysis
- Machine Learning in Materials Science
- Additive Manufacturing and 3D Printing Technologies
Tongji University
2021-2024
Hwa Chong Institution
2024
Beijing Institute of Petrochemical Technology
2023
Black polyimide (BPI) is increasingly in demand for the development of photoelectric devices place yellow transparent polyimide, but BPI doped with carbon black shows serious insulation and mechanical performance deficiencies due to pinholes uneven dispersion. Intrinsically has thus attracted increasing interest science industry. Anthraquinone derivatives have an ample high molar extinction coefficient (ε), appending as many auxochromes (−OH −NH2) possible on anthraquinone skeleton can...
Chiral expression from the molecular to macromolecular level, as well aggregates, plays an important role in natural physiological activity. Therefore, understanding chirality transfer mechanism will provide guidance for design of new functional chiral materials. Herein, we have systematically investigated assembly and morphological level liquid crystalline block copolymers (LC-BCPs) induced by enantiopure tartaric acid (TA) a source. Both experimental theoretical results indicate that...
The quality of Supervised Fine-Tuning (SFT) data plays a critical role in enhancing the conversational capabilities Large Language Models (LLMs). However, as LLMs become more advanced, availability high-quality human-annotated SFT has significant bottleneck, necessitating greater reliance on synthetic training data. In this work, we introduce Condor, novel two-stage generation framework that incorporates World Knowledge Tree and Self-Reflection Refinement to produce at scale. Our...
Abstract With the rapid development of flexible displays and wearable electronics, there are a substantial demand for colorless transparent polyimide (CPI) films with different properties. Traditional trial‐and‐error experimental methods time‐consuming costly, density functional theory based prediction HOMO‐LUMO gap energy also takes time is prone to varying degrees error. Inspired by machine learning (ML) applications in molecular materials science, this paper proposed data‐driven ML...
While LLM-Based agents, which use external tools to solve complex problems, have made significant progress, benchmarking their ability is challenging, thereby hindering a clear understanding of limitations. In this paper, we propose an interactive evaluation framework, named CIBench, comprehensively assess LLMs' utilize code interpreters for data science tasks. Our framework includes dataset and two modes. The constructed using LLM-human cooperative approach simulates authentic workflow by...