Data-driven design of polymer-based biomaterials: high-throughput simulation, experimentation, and machine learning
Polymers, with the capacity to tunably alter properties and response based on manipulation
of their chemical characteristics, are attractive components in biomaterials. Nevertheless …
of their chemical characteristics, are attractive components in biomaterials. Nevertheless …
Applied machine learning as a driver for polymeric biomaterials design
SM McDonald, EK Augustine, Q Lanners… - Nature …, 2023 - nature.com
Polymers are ubiquitous to almost every aspect of modern society and their use in medical
products is similarly pervasive. Despite this, the diversity in commercial polymers used in …
products is similarly pervasive. Despite this, the diversity in commercial polymers used in …
A user's guide to machine learning for polymeric biomaterials
The development of novel biomaterials is a challenging process, complicated by a design
space with high dimensionality. Requirements for performance in the complex biological …
space with high dimensionality. Requirements for performance in the complex biological …
Mapping biomaterial complexity by machine learning
Biomaterials often have subtle properties that ultimately drive their bespoke performance.
Given this nuanced structure–function behavior, the standard scientific approach of one …
Given this nuanced structure–function behavior, the standard scientific approach of one …
Challenges and opportunities of polymer design with machine learning and high throughput experimentation
In this perspective, the authors challenge the status quo of polymer innovation. The authors
first explore how research in polymer design is conducted today, which is both time …
first explore how research in polymer design is conducted today, which is both time …
Navigating the Expansive Landscapes of Soft Materials: A User Guide for High-Throughput Workflows
EC Day, SS Chittari, MP Bogen, AS Knight - ACS Polymers Au, 2023 - ACS Publications
Synthetic polymers are highly customizable with tailored structures and functionality, yet this
versatility generates challenges in the design of advanced materials due to the size and …
versatility generates challenges in the design of advanced materials due to the size and …
[HTML][HTML] Biomaterials by design: Harnessing data for future development
Biomaterials is an interdisciplinary field of research to achieve desired biological responses
from new materials, regardless of material type. There have been many exciting innovations …
from new materials, regardless of material type. There have been many exciting innovations …
Integration of machine learning and coarse-grained molecular simulations for polymer materials: physical understandings and molecular design
In recent years, the synthesis of monomer sequence-defined polymers has expanded into
broad-spectrum applications in biomedical, chemical, and materials science fields. Pursuing …
broad-spectrum applications in biomedical, chemical, and materials science fields. Pursuing …
Machine learning on a robotic platform for the design of polymer–protein hybrids
Polymer–protein hybrids are intriguing materials that can bolster protein stability in non‐
native environments, thereby enhancing their utility in diverse medicinal, commercial, and …
native environments, thereby enhancing their utility in diverse medicinal, commercial, and …
Sizing up feature descriptors for macromolecular machine learning with polymeric biomaterials
It has proved challenging to represent the behavior of polymeric macromolecules as
machine learning features for biomaterial interaction prediction. There are several …
machine learning features for biomaterial interaction prediction. There are several …
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