The self-assembly of block copolymer melts and solutions with two-dimensional density inhomogeneity is studied using modified inhomogeneous statistical associating fluid theory (iSAFT). A real-space combinatorial screening method under density functional theory formalism is proposed and used to map out the phase diagram of block copolymer melts including order-disorder transitions and order-order transitions. The predicted phase diagram agrees well with molecular dynamics simulation and self-consistent field theory. The compressibility effect on order-disorder transition temperature for block copolymer melts is modeled using iSAFT. The pressure induced temperature change by theory has a similar trend to experimental studies. Then, the lyotropic and thermotropic self-assembly phase behavior of block copolymer solutions is investigated. Detailed density distributions by iSAFT provide insight into the lyotropic properties of the block copolymer solutions at the molecular level. The effect of the block copolymer molecular architecture is studied by comparing block copolymers with different molecular packing parameters. Block copolymer solutions in the inverted hexagonal phase are predicted by theory for the block copolymer having a large molecular packing parameter. Finally, solvent selectivity is studied by modeling the block copolymers in a neutral good solvent. The enhanced local solvent concentration predicted by theory explains the reason for fewer ordered phases found in experiments.
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http://dx.doi.org/10.1063/5.0069883 | DOI Listing |
Nanomaterials (Basel)
December 2024
School of Materials Science & Engineering, Nanyang Technological University, Singapore 639798, Singapore.
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School of Chemistry, Xi'an Key Laboratory of Sustainable Polymer Materials, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China.
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View Article and Find Full Text PDFAdv Mater
December 2024
School of Chemistry and Chemical Engineering, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, China.
Carbon-supported single-atom catalysts exhibit exceptional properties in acidic CO reduction. However, traditional carbon supports fall short in building high-site-utilization and CO-rich interfacial environments, and the structural evolution of single-atom metals and catalytic mechanisms under realistic conditions remain ambiguous. Herein, an interconnected mesoporous carbon nanofiber and carbon nanosheet network (IPCF@CS) is reported, derived from microphase-separated block copolymer, to improve catalytic efficiency of isolated Ni.
View Article and Find Full Text PDFSmall
December 2024
School of Energy and Environment, Southeast University, Nanjing, Jiangsu, 210096, China.
Submicron particulate matter (PM) can penetrate deeply into human tissue, posing a serious threat to human health. However, the electrostatic charge of commercial respirators is easily dissipated, making it difficult to maintain long-term filtration. Herein, a hierarchically porous filter based on nanofibers with accessible porosity and particulate-attractive surfaces, achieving significant filtration performance is developed through polarity-driven interactions.
View Article and Find Full Text PDFAdv Mater
December 2024
David H Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Immune reactions to medical implants often lead to encapsulation by fibrotic tissue and impaired device function. This process is thought to initiate by protein adsorption, which enables immune cells to attach and mount an inflammatory response. Previously, several antifibrotic materials have been either designed to reduce protein adsorption or discovered via high-throughput screens (HTS) to favorably regulate inflammation.
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