Machine learning applications in nanomaterials: Recent advances and future perspectives

L Yang, H Wang, D Leng, S Fang, Y Yang… - Chemical Engineering …, 2024 - Elsevier
Nanomaterials demonstrate enormous potential applications in various scientific and
engineering fields due to their unique physical and chemical properties. With the rapid …

Chirality determination of nanocrystals by electron crystallography

L Wang, Y Wang, C Chu, J Hu, S Wu… - The Journal of Physical …, 2024 - ACS Publications
Chirality is a common phenomenon in nature and plays an important role in the properties of
matter. The rational synthesis of chiral compounds and exploration of their applications in …

Expanding the horizons of machine learning in nanomaterials to chiral nanostructures

V Kuznetsova, Á Coogan, D Botov… - Advanced …, 2024 - Wiley Online Library
Abstract Machine learning holds significant research potential in the field of nanotechnology,
enabling nanomaterial structure and property predictions, facilitating materials design and …

Chirality Analysis of Complex Microparticles using Deep Learning on Realistic Sets of Microscopy Images

A Visheratina, A Visheratin, P Kumar, M Veksler… - ACS …, 2023 - ACS Publications
Nanoscale chirality is an actively growing research field spurred by the giant chiroptical
activity, enantioselective biological activity, and asymmetric catalytic activity of chiral …

Training Neural Networks to Classify Chiral Nanoparticle Stereopairs Using Weakly Labelled Datasets

AJ Pattison, M Scott, P Ercius… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
As the interest in using machine learning techniques for electron microscopy grows so does
the need for labeled datasets and automated labeling strategies. Here we exploit the nature …

Chiral Engineered Biomaterials: New Frontiers in Cellular Fate Regulation for Regenerative Medicine

Y Wang, X Zhang, D Xie, C Chen… - Advanced Functional …, 2024 - Wiley Online Library
Chirality, the property of objects that are nonsuperimposable on their mirror images, plays a
crucial role in biological processes and cellular behaviors. Chiral engineered biomaterials …

Gated Recurrent Neural Network for Predicting the Plasmonic Colloid Composition from Spectra

KY Bi, L Lv, D Su, SJ Wang, XY Zhang, T Zhang - Langmuir, 2024 - ACS Publications
In current research on the synthesis of colloidal nanostructures, the size and morphology of
nanoparticles still exhibit certain dispersion and variation from batch to batch …