L
Liqun Zhang
Researcher at Beijing University of Chemical Technology
Publications - 1266
Citations - 41962
Liqun Zhang is an academic researcher from Beijing University of Chemical Technology. The author has contributed to research in topics: Natural rubber & Elastomer. The author has an hindex of 82, co-authored 1110 publications receiving 31630 citations. Previous affiliations of Liqun Zhang include Kunming University of Science and Technology & Chinese Ministry of Education.
Papers
More filters
Patent
Paramyxoviruses as gene transfer vectors to lung cells
TL;DR: In this article, the authors provided infectious recombinant viral vectors (e.g., parainfluenza virus (PIV) and a respiratory syncytial virus (RSV) comprising a viral genome comprising a heterologous nucleic acid of interest.
Journal ArticleDOI
Self-Cross-Linking Hydrogenated Nitrile-Butadiene Rubber Latex/Polyvinyl Chloride Emulsion Composite Film and Its Properties
TL;DR: In this paper, a self-cross-linking hydrogenated carboxylated nitrile-butadiene rubber (HXNBR)/polyvinyl chloride (PVC) composite film was prepared from their mixed emulsions.
Journal ArticleDOI
Self-assembly and structural manipulation of diblock-copolymer grafted nanoparticles in a homopolymer matrix
TL;DR: Simulation work provides a deep insight into the structural and mechanical properties of NPs grafted with diblock copolymer chains, in the hope of providing some guidance on the design and preparation of high-performance PNCs.
Journal ArticleDOI
Enhanced thermal conductivity and mechanical properties of polymeric composites through formation of covalent bonds between boron nitride and rubber chains
Journal ArticleDOI
Designing high thermal conductivity of polydimethylsiloxane filled with hybrid h-BN/MoS2 via molecular dynamics simulation
TL;DR: In this paper, the effects of molybdenum disulfide and hybrid hexagonal boron nitride (h-BN)/MoS2 fillers on the thermal conductivity of polydimethylsiloxane (PDMS) were investigated by reverse non-equilibrium molecular dynamics (RNEMD) simulation with fully atomistic model.