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Textbook: Artificial Intelligence in Polymer Science and Nanotechnology: Autonomous Labs, Polymer Design, Materials Simulation
Author(s): Malviya R., Department of Pharmacy Galgotias University India
Course introduction
In many scientific fields, including polymer science and nanotechnology, artificial in- telligence (AI) is transforming research approaches. This interdisciplinary collabora- tion promises faster discovery, material design, a better knowledge of structure- property correlations, and greater customization and innovation potential. This course introduces the role of AI in polymer design and characterization. The chapters discuss a wide range of subjects, including autonomous self-driving labs for material innova- tion and AI-enhanced polymeric drug delivery systems. To address difficult design problems, forecast polymer properties, enhance material performance, and uncover underlying relationships between structure and functioning, the book additionally discusses the use of machine learning in materials science.
The aims of the course are: to inspire future research at the intersection of data science, material informatics, nanotechnology, and polymer engineering; to introduce readers the basic and emerging applications of AI in polymer and nanomaterial re- search; to outline the technologies, methodologies, and frameworks reshaping mate- rial discovery; and to demonstrate the role of AI to develop autonomous, predictive, and scalable research models.
Chapter 1
Nanotechnology innovation: AI-enhanced polymer drug delivery systems Leandro Rodrigues Oviedo, Mauricio Dalla Costa Rodrigues da Silva, Pamela Cristine Ladwig Muraro, Raisi Natalia Lenz Baldez, Tiago Moreno Volkmer, and William Leonardo da Silva Chapter 2
Machine learning applications in material science: unveiling innovative solutions—27
Shikha Kumari and Pratima Parashar Pandey Chapter 3
Machine learning for material simulation: revolutionizing polymer science
-55
Neha Minocha and Parijat Pandey Chapter 4
The autonomous revolution: role of AI in self-driving labs for materials sciences
69
Syed Salman Ali, Hrithik Dey, Atifa Khan, Bhoomika Chaudhary, Yarun, and Mohammad Asif Chapter 5
Al-powered polymer sequence design: applications and innovations
-97
Rahul Sharma, Sonali Sundram, and Naga Rani Kagithala Chapter 6
Exploring the relationship between structure and properties in polymer blends using deep learning techniques
-127
Ruby Srivastava Chapter 7
Predicting polymer properties: machine learning insights from Polymer Genome-159
Isha Kalbhor, Shantanu Chakote, Rushikesh Dabhade, Pranay Sharma, Sushant Gaikwad, Raj Agarwal, and Satish Polshettiwar Chapter 8
Al-driven development: innovating biomedical polymer materials—175
Kanaka Durga Devi Nelluri, S.K. Abdul Rahaman, Minakshi Kommoju, and Bhavana Alaparthi Chapter 9
Predictive precision: AI-enhanced measurement of mechanical properties in nanostructured polymer composites—203
Jatinder Singh Dhaliwal, Pravesh Kumar, Rajesh M. Badhe, Alex C. Pulikottil, and Alok Sharma Chapter 10
Artificial intelligence in polymer molding and extrusion255
Tamanna Rai and Rishabha Malviya Chapter 11
Discovering new frontiers: material explorations with AI and polymers—281
Harshita Shakya and Sona Gandhi Chapter 12
Advancing nanomaterial safety: AI in toxicity and environmental assessments—299
Fatima Haider, Uswa Mansoor, Maham Naeem, and Gul Shahnaz Chapter 13
Innovative approaches in drug delivery systems (DDS) leveraging AI and advanced material characterization
-331
Artificial Intelligence in Polymer Science and Nanotechnology_ Autonomous Labs, .pdf
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