Enabling future nanomanufacturing through block copolymer self-assembly: A review

C Cummins, R Lundy, JJ Walsh, V Ponsinet, G Fleury… - Nano Today, 2020 - Elsevier
Self-assembly approaches, eg colloidal, emulsion and polymer phase separation, provide
scientists with an exotic yet direct platform to access technologically desired nanostructures …

[HTML][HTML] Recent advances in polycaprolactones for anticancer drug delivery

A Bhadran, T Shah, GK Babanyinah, H Polara… - Pharmaceutics, 2023 - mdpi.com
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 …

Block copolymer nanopatterning for nonsemiconductor device applications

GG Yang, HJ Choi, KH Han, JH Kim… - … Applied Materials & …, 2022 - ACS Publications
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 …

Gaussian processes for autonomous data acquisition at large-scale synchrotron and neutron facilities

MM Noack, PH Zwart, DM Ushizima, M Fukuto… - Nature Reviews …, 2021 - nature.com
The execution and analysis of complex experiments are challenged by the vast
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

S Fruncillo, X Su, H Liu, LS Wong - ACS sensors, 2021 - ACS Publications
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 …

Autonomous discovery of emergent morphologies in directed self-assembly of block copolymer blends

GS Doerk, A Stein, S Bae, MM Noack, M Fukuto… - Science …, 2023 - science.org
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 …

Machine learning for analyses and automation of structural characterization of polymer materials

S Lu, A Jayaraman - Progress in Polymer Science, 2024 - Elsevier
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 …

Autonomous materials discovery driven by Gaussian process regression with inhomogeneous measurement noise and anisotropic kernels

MM Noack, GS Doerk, R Li, JK Streit, RA Vaia… - Scientific reports, 2020 - nature.com
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 …

Origins of low-symmetry phases in asymmetric diblock copolymer melts

K Kim, A Arora, RM Lewis III, M Liu, W Li, AC Shi… - Proceedings of the …, 2018 - pnas.org
Cooling disordered compositionally asymmetric diblock copolymers leads to the formation of
nearly spherical particles, each containing hundreds of molecules, which crystallize upon …

A kriging-based approach to autonomous experimentation with applications to x-ray scattering

MM Noack, KG Yager, M Fukuto, GS Doerk, R Li… - Scientific reports, 2019 - nature.com
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 …