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Enabling future nanomanufacturing through block copolymer self-assembly: A review
Self-assembly approaches, eg colloidal, emulsion and polymer phase separation, provide
scientists with an exotic yet direct platform to access technologically desired nanostructures …
scientists with an exotic yet direct platform to access technologically desired nanostructures …
[HTML][HTML] Recent advances in polycaprolactones for anticancer drug delivery
Poly (ε-Caprolactone) s are biodegradable and biocompatible polyesters that have gained
considerable attention for drug delivery applications due to their slow degradation and ease …
considerable attention for drug delivery applications due to their slow degradation and ease …
Block copolymer nanopatterning for nonsemiconductor device applications
Block copolymer (BCP) nanopatterning has emerged as a versatile nanoscale fabrication
tool for semiconductor devices and other applications, because of its ability to organize well …
tool for semiconductor devices and other applications, because of its ability to organize well …
Gaussian processes for autonomous data acquisition at large-scale synchrotron and neutron facilities
The execution and analysis of complex experiments are challenged by the vast
dimensionality of the underlying parameter spaces. Although an increase in data-acquisition …
dimensionality of the underlying parameter spaces. Although an increase in data-acquisition …
Lithographic processes for the scalable fabrication of micro-and nanostructures for biochips and biosensors
Since the early 2000s, extensive research has been performed to address numerous
challenges in biochip and biosensor fabrication in order to use them for various biomedical …
challenges in biochip and biosensor fabrication in order to use them for various biomedical …
Autonomous discovery of emergent morphologies in directed self-assembly of block copolymer blends
The directed self-assembly (DSA) of block copolymers (BCPs) is a powerful approach to
fabricate complex nanostructure arrays, but finding morphologies that emerge with changes …
fabricate complex nanostructure arrays, but finding morphologies that emerge with changes …
Machine learning for analyses and automation of structural characterization of polymer materials
Structural characterization of polymer materials is a major step in the process of creating
complex materials design-structural-property relationships. With growing interests in artificial …
complex materials design-structural-property relationships. With growing interests in artificial …
Autonomous materials discovery driven by Gaussian process regression with inhomogeneous measurement noise and anisotropic kernels
A majority of experimental disciplines face the challenge of exploring large and high-
dimensional parameter spaces in search of new scientific discoveries. Materials science is …
dimensional parameter spaces in search of new scientific discoveries. Materials science is …
Origins of low-symmetry phases in asymmetric diblock copolymer melts
Cooling disordered compositionally asymmetric diblock copolymers leads to the formation of
nearly spherical particles, each containing hundreds of molecules, which crystallize upon …
nearly spherical particles, each containing hundreds of molecules, which crystallize upon …
A kriging-based approach to autonomous experimentation with applications to x-ray scattering
Modern scientific instruments are acquiring data at ever-increasing rates, leading to an
exponential increase in the size of data sets. Taking full advantage of these acquisition rates …
exponential increase in the size of data sets. Taking full advantage of these acquisition rates …