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Total Size:
7.3 MB
Info Hash:
BC37FA5DCFC0A4F9C79552E42BD4D1269623DA84
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Added:
Dec. 11, 2025, 4:16 p.m.
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(Last updated: Dec. 11, 2025, 4:16 p.m.)
| File | Size |
|---|---|
| Malviya R. Artificial Intelligence in Polymer Science and Nanotechnology...2026.pdf | 7.3 MB |
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27.1 MB
[17
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3]
2024-11-02
| Uploaded by indexFroggy | Size 27.1 MB | Health [ 17 /3 ] | Added 2024-11-02 |
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14.3 MB
[26
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3]
2024-12-31
| Uploaded by indexFroggy | Size 14.3 MB | Health [ 26 /3 ] | Added 2024-12-31 |
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SOURCE: Malviya R. Artificial Intelligence in Polymer Science and Nanotechnology...2026
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COVER
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MEDIAINFO
Textbook in PDF format
Sophisticated technologies play a growing part in materials science. Artificial Intelligence in Polymer Science offers a comprehensive examination of the impact of artificial intelligence on polymer research and nanotechnology, encompassing AI-facilitated polymer synthesis and characterisation, as well as novel applications in drug delivery systems, nanomaterial design, and polymer informatics. This book provides insightful information on both present developments and potential future directions, with each chapter addressing subjects including AI-powered polymer sequence design, autonomous labs, and machine learning in material simulations. Professionals in the field will gain from pragmatic illustrations and innovative methodologies, rendering it a vital resource for researchers, engineers, and advanced scholars. This thorough understanding will transform the way AI integrates polymers and nanotechnology, spurring innovation and improving material properties—all of which will have a major impact on applications in the fields of healthcare, business, and the environment.
Nanotechnology innovation: AI-enhanced polymer drug delivery systems
Machine learning applications in material science: unveiling innovative solutions
Machine learning for material simulation: revolutionizing polymer science
The autonomous revolution: role of AI in self-driving labs for materials sciences
AI-powered polymer sequence design: applications and innovations
Exploring the relationship between structure and properties in polymer blends using deep learning techniques
Predicting polymer properties: machine learning insights from Polymer Genome
AI-driven development: innovating biomedical polymer materials
Predictive precision: AI-enhanced measurement of mechanical properties in nanostructured polymer composites
Artificial intelligence in polymer molding and extrusion
Discovering new frontiers: material explorations with AI and polymers
Advancing nanomaterial safety: AI in toxicity and environmental assessments
Innovative approaches in drug delivery systems (DDS) leveraging AI and advanced material characterization
Robotics innovations in nanotechnology: redefining polymer science with AI
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