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 …

Progress and Roadmap for Intelligent Self‐Healing Materials in Autonomous Robotics

YJ Tan, GJ Susanto, HP Anwar Ali… - Advanced …, 2021 - Wiley Online Library
Robots are increasingly assisting humans in performing various tasks. Like special agents
with elite skills, they can venture to distant locations and adverse environments, such as the …

Machine-learning-assisted de novo design of organic molecules and polymers: opportunities and challenges

G Chen, Z Shen, A Iyer, UF Ghumman, S Tang, J Bi… - Polymers, 2020 - mdpi.com
Organic molecules and polymers have a broad range of applications in biomedical,
chemical, and materials science fields. Traditional design approaches for organic molecules …

Inverse design of materials by machine learning

J Wang, Y Wang, Y Chen - Materials, 2022 - mdpi.com
It is safe to say that every invention that has changed the world has depended on materials.
At present, the demand for the development of materials and the invention or design of new …

Molecular simulations to elucidate transport phenomena in polymeric membranes

M Heiranian, RM DuChanois, CL Ritt… - Environmental …, 2022 - ACS Publications
Despite decades of dominance in separation technology, progress in the design and
development of high-performance polymer-based membranes has been incremental …

A review on the application of molecular descriptors and machine learning in polymer design

Y Zhao, RJ Mulder, S Houshyar, TC Le - Polymer Chemistry, 2023 - pubs.rsc.org
Polymers are an important class of materials with vast arrays of physical and chemical
properties and have been widely used in many applications and industrial products …

Digital transformation in materials science: A paradigm change in material's development

J Kimmig, S Zechel, US Schubert - Advanced Materials, 2021 - Wiley Online Library
The ongoing digitalization is rapidly changing and will further revolutionize all parts of life.
This statement is currently omnipresent in the media as well as in the scientific community; …

Machine learning for property prediction and optimization of polymeric nanocomposites: a state-of-the-art

E Champa-Bujaico, P García-Díaz… - International Journal of …, 2022 - mdpi.com
Recently, the field of polymer nanocomposites has been an area of high scientific and
industrial attention due to noteworthy improvements attained in these materials, arising from …

Surface science of cosmetic substrates, cleansing actives and formulations

GS Luengo, AL Fameau, F Leonforte… - Advances in Colloid and …, 2021 - Elsevier
The development of shampoo and cleansing formulations in cosmetics is at a crossroads
due to consumer demands for better performing, more natural products and also the strong …

Machine learning for melting temperature predictions and design in polyhydroxyalkanoate-based biopolymers

KK Bejagam, J Lalonde, CN Iverson… - The Journal of …, 2022 - ACS Publications
Diminishing fossil fuel-based resources and ever-growing environmental concerns related
to plastic pollution demand for the development of sustainable and biodegradable polymeric …