Brazil - India - Cuba - China - United Kingdom (BIC²UK) Conference on Nanomaterials & Machine Learning

We are proud to announce that Brazil – India – Cuba – China – United Kingdom (BIC²UK) conference on Materials and Machine Learning is now part of the International Scientific Convention "Universidad de La Habana 2023", and BIC²UK is dedicated to the University of Havana's 295th anniversary.

First Brazil - India - Cuba - China - United Kingdom (BICUK)  conference on Materials & Machine Learning is looking for remarkable works dealing with Advances in Machine-Learning-Assisted Nanomaterials, which includes, among others, Applications in Simulation, Detection, Classification, and Imaging.

Nanotechnology, defined as atomically precise engineering, comprises a broad spectrum of areas, from medicine to all engineering branches. Nanomaterials have recently brought substantial scientific, technological, and social development, driving science through intriguing and challenging routes. Besides environmental applications, the most remarkable impacts are in medicine, electronics, sensors, energy production, and storage.

New technologies have allowed the synthesis of unique nanomaterials with increasingly varied and versatile properties. However, optimizing the preparation and characterization of these nanomaterials and their composites demands new tooling.

Machine-learning (ML) models bring several classification and quantification advantages to the nanomaterials scenario, allowing the fine-tuning of their properties. 

Thus, this Conference is focused on nanomaterials, nanocomposites, their applications, and ML tools developed to assist in obtaining, classifying, quantifying, or understanding the properties of these materials.

Authoritative review and original research abstracts describing recent findings in advanced nanomaterials are expected to cover various topics. Potential topics include but are not limited to:

• Adsorption of contaminants;
• Amphiphilic surfaces;
• Cancer;
• Catalysts;
• Characterization techniques;
• Controlled drug release;
• Ferrites;
• Geopolymers;
• Medicine;
• Neglected diseases;
• Pandemics, including COVID-19 and variants;
• Polymers;
• Sensors;
• Silver and gold nanoparticles;
• Soil fertility;
• Top-down and bottom-up preparation of nanomaterials;
• Toxicity;
• Water treatment;
• Zeolites.

New ideas shared here will promote the fast development of the exciting areas of nanomaterials and ML. We invite you to contribute to this Conference by submitting abstracts or full papers on your best research activities.