Nanoparticle synthesis assisted by machine learning

H Tao, T Wu, M Aldeghi, TC Wu… - Nature reviews …, 2021 - nature.com
Many properties of nanoparticles are governed by their shape, size, polydispersity and
surface chemistry. To apply nanoparticles in chemical sensing, medical diagnostics …

New green approaches in nanoparticles synthesis: An overview

BA Miu, A Dinischiotu - Molecules, 2022 - mdpi.com
Nanotechnology is constantly expanding, with nanomaterials being more and more used in
common commercial products that define our modern life. Among all types of nanomaterials …

Real-time traffic signal control with swarm optimization methods

SA Celtek, A Durdu, MEM Alı - Measurement, 2020 - Elsevier
Real-time traffic signal control is the control methods that control the traffic signal according
to the instant traffic situation. In this paper, it is suggested to optimize the traffic control …

Intelligent control of nanoparticle synthesis through machine learning

H Lv, X Chen - Nanoscale, 2022 - pubs.rsc.org
The synthesis of nanoparticles is affected by many reaction conditions, and their properties
are usually determined by factors such as their size, shape and surface chemistry. In order …

[HTML][HTML] Optimization of microfluidic synthesis of silver nanoparticles: a generic approach using machine learning

K Nathanael, S Cheng, NM Kovalchuk… - … Research and Design, 2023 - Elsevier
The properties of silver nanoparticles (AgNPs) are affected by various parameters, making
optimisation of their synthesis a laborious task. This optimisation is facilitated in this work by …

Engineering tobacco mosaic virus and its virus‐like‐particles for synthesis of biotemplated nanomaterials

KZ Lee, V Basnayake Pussepitiyalage… - Biotechnology …, 2021 - Wiley Online Library
Biomolecules are increasingly attractive templates for the synthesis of functional
nanomaterials. Chief among them is the plant tobacco mosaic virus (TMV) due to its high …

Discovery and prediction capabilities in metal-based nanomaterials: An overview of the application of machine learning techniques and some recent advances

EA Bamidele, AO Ijaola, M Bodunrin, O Ajiteru… - Advanced Engineering …, 2022 - Elsevier
The application of machine learning (ML) techniques to metal-based nanomaterials has
contributed greatly to understanding the interaction of nanoparticles, properties prediction …

Determination of the most effective control methods of SO2 pollution in Tehran based on adaptive neuro-fuzzy inference system

M Ebrahimi, F Qaderi - Chemosphere, 2021 - Elsevier
Air pollution in metropolises is one of the serious problems of human life. Tehran is one of
the cities facing air pollution problem. Urban managers concern about choosing different …

[PDF][PDF] Nanoparticles and their biomedical applications

OA Ojo, II Olayide, MC Akalabu… - … Res. Appl. Chem, 2021 - biointerfaceresearch.com
Over the years, due to the remarkable functional properties, the nanoparticles have been
widely used and being tested in the treatment and diagnosis of diseases such as cancer …

Multi-objective scheduling technique based on hybrid hitchcock bird algorithm and fuzzy signature in cloud computing

BMH Zade, N Mansouri, MM Javidi - Engineering Applications of Artificial …, 2021 - Elsevier
As the number of requests in the cloud increases, providers face more problems (eg, task
scheduling and resource management). The exhaustive search for determining the optimal …