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Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Siddharth, Sayyasachi Malu |
Machine Learning with Python: A Hands-on Introduction |
027375 |
2024 |
Book |
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| 2 |
Sukumar, N |
Navigating Molecular Networks |
I13290 |
2024 |
eBook |
|
| 3 |
Akpinar, Alp |
Search for Invisible Decays of the Higgs Boson Produced via Vector Boson Fusion at the LHC with CMS Run 2 data |
I13262 |
2024 |
eBook |
|
| 4 |
Saha, Asit |
Proceedings of the 2nd International Conference on Nonlinear Dynamics and Applications (ICNDA 2024), Volume 2 |
I13186 |
2024 |
eBook |
|
| 5 |
Auconi, Pietro |
Systems Orthodontics |
I13150 |
2024 |
eBook |
|
| 6 |
Saha, Asit |
Proceedings of the 2nd International Conference on Nonlinear Dynamics and Applications (ICNDA 2024), Volume 1 |
I13142 |
2024 |
eBook |
|
| 7 |
Awojoyogbe, Bamidele O |
Digital Molecular Magnetic Resonance Imaging |
I13129 |
2024 |
eBook |
|
| 8 |
Hanaor, Dorian A. H |
Computational Design of Battery Materials |
I13089 |
2024 |
eBook |
|
| 9 |
Kaushik, Keshav |
Next-Generation Cybersecurity |
I13039 |
2024 |
eBook |
|
| 10 |
Krishnan, N. M. Anoop |
Machine Learning for Materials Discovery |
I13026 |
2024 |
eBook |
|
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2.
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| Title | Navigating Molecular Networks |
| Author(s) | Sukumar, N |
| Publication | Cham, 1. Imprint: Springer
2. Springer Nature Switzerland, 2024. |
| Description | XVIII, 114 p. 41 illus., 26 illus. in color : online resource |
| Abstract Note | This book delves into the foundational principles governing the treatment of molecular networks and "chemical space"???the comprehensive domain encompassing all physically achievable molecules???from the perspectives of vector space, graph theory, and data science. It explores similarity kernels, network measures, spectral graph theory, and random matrix theory, weaving intriguing connections between these diverse subjects. Notably, it emphasizes the visualization of molecular networks. The exploration continues by delving into contemporary generative deep learning models, increasingly pivotal in the pursuit of new materials possessing specific properties, showcasing some of the most compelling advancements in this field. Concluding with a discussion on the meanings of discovery, creativity, and the role of artificial intelligence (AI) therein. Its primary audience comprises senior undergraduate and graduate students specializing in physics, chemistry, and materials science. Additionally, it caters to those interested in the potential transformation of material discovery through computational, network, AI, and machine learning (ML) methodologies |
| ISBN,Price | 9783031762901 |
| Keyword(s) | 1. Biomolecules
2. BIOPHYSICS
3. EBOOK
4. EBOOK - SPRINGER
5. GRAPH THEORY
6. MACHINE LEARNING
7. MOLECULAR BIOPHYSICS
8. Soft condensed matter
9. Soft Materials
10. STATISTICAL PHYSICS
11. Stochastic Networks
12. STOCHASTIC PROCESSES
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I13290 |
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On Shelf |
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4.
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| Title | Proceedings of the 2nd International Conference on Nonlinear Dynamics and Applications (ICNDA 2024), Volume 2 : Complex Systems, Fractals and Nonlinear Flows |
| Author(s) | Saha, Asit;Banerjee, Santo |
| Publication | Cham, 1. Imprint: Springer
2. Springer Nature Switzerland, 2024. |
| Description | XVII, 690 p. 334 illus., 311 illus. in color : online resource |
| Abstract Note | This book covers the latest advancements and applications of nonlinear dynamics in various fields of science and engineering, presenting a curated selection of peer-reviewed contributions at the 2nd International Conference on Nonlinear Dynamics and Applications (ICNDA 2024) at Sikkim Manipal Institute of Technology (SMIT). Organized by the Department of Mathematics, SMIT, SMU, this international conference provides a platform for scientists, researchers, and inventors to share their findings and exchange ideas in the ever-evolving field of nonlinear dynamics. This book comprises three volumes. Volume 2 focuses on chaos, complexity, and fractals in dynamical systems. It covers topics such as novel methods for solving population balance models; analysis of fractal structures and nonlinear partial differential equations; dynamics of disease therapy and cytokine interactions; stability and behavior of predator-prey and ecological systems; fluid dynamics and heat transfer in nanofluids; and numerical and analytical approaches to material and structural optimization |
| ISBN,Price | 9783031691348 |
| Keyword(s) | 1. BIOINFORMATICS
2. COMPLEX SYSTEMS
3. Computational and Systems Biology
4. EBOOK
5. EBOOK - SPRINGER
6. FLUIDS
7. MACHINE LEARNING
8. PLASMA WAVES
9. QUANTUM COMMUNICATION
10. Quantum Communications and Cryptography
11. Soft condensed matter
12. SYSTEM THEORY
13. Waves, instabilities and nonlinear plasma dynamics
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I13186 |
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On Shelf |
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5.
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| Title | Systems Orthodontics : From Clinical Reasoning to Computation, and Back |
| Author(s) | Auconi, Pietro;Caldarelli, Guido;Polimeni, Antonella |
| Publication | Cham, 1. Imprint: Springer
2. Springer Nature Switzerland, 2024. |
| Description | VIII, 161 p. 25 illus., 17 illus. in color : online resource |
| Abstract Note | This book marks one of the first applications of the Medicine Network discipline to an everyday scenario. It explores situations where patients, often in adolescence, grapple with the decision of whether to commence a treatment, seeking insights into the more plausible future scenarios. Additionally, the specific feedback from biological systems in the human body serves as a potent metaphor for addressing various challenges in the field of Complex Systems. In recent times, systems thinking and complexity theory have yielded substantial conceptual advancements across various research domains. In the context of orthodontics, these approaches offer a more comprehensive understanding in contrast to the traditional mechanistic approach, which primarily focuses on the analysis of applied forces. Systems thinking directs attention to the interaction among dentoskeletal components, where the behavior of one element can influence others. The amalgamation of multiple elements leads to entities with properties distinct from those of individual components. The increasing complexity of orthodontic reality beyond clinical or radiological observations necessitates the development of new theories. Complexity theory has demonstrated that emergent properties in biological systems can be discerned through appropriate computational models, as opposed to the analytical study of individual components. The central metaphor for the interactive craniofacial system during growth is portrayed by the facial topology revealed through network analysis, facilitating a systemic reevaluation of traditional orthodontic theories. This book delineates the novel insights derived from the clinical-computational approach, applicable for a prognostic and early interception perspective in managing dentofacial dysmorphoses. Its objective is to captivate practitioners and persuade them of the practical utility of these innovative approaches |
| ISBN,Price | 9783031649325 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. Dentistry
3. EBOOK
4. EBOOK - SPRINGER
5. MACHINE LEARNING
6. Medical physics
7. SYSTEM THEORY
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I13150 |
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On Shelf |
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6.
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| Title | Proceedings of the 2nd International Conference on Nonlinear Dynamics and Applications (ICNDA 2024), Volume 1 : Nonlinear Waves and Plasma Dynamics |
| Author(s) | Saha, Asit;Banerjee, Santo |
| Publication | Cham, 1. Imprint: Springer
2. Springer Nature Switzerland, 2024. |
| Description | XVIII, 692 p. 313 illus., 304 illus. in color : online resource |
| Abstract Note | This book covers the latest advancements and applications of nonlinear dynamics in various fields of science and engineering, presenting a curated selection of peer-reviewed contributions at the 2nd International Conference on Nonlinear Dynamics and Applications (ICNDA 2024) at Sikkim Manipal Institute of Technology (SMIT). Organized by the Department of Mathematics, SMIT, SMU, this international conference provides a platform for scientists, researchers, and inventors to share their findings and exchange ideas in the ever-evolving field of nonlinear dynamics. This book comprises three volumes. Volume 1 focuses on the investigation of nonlinear waves and plasma dynamics. It covers topics such as strong Landau damping, electron plasma waves, ion-acoustic waves, dusty plasma, dust-acoustic waves, dust-ion-acoustic waves, kinetic Alfven waves, solitary wave, shock waves, periodic wave, cnoidal wave, superperiodic wave, soliton, resonance, lump soliton, multi-soliton, breather wave, upper hybrid wave, atmospheric internal wave, mathematical and analytical methods, quantum and relativistic plasmas, wave instabilities and interactions, fractional and complex systems, nonlinear optical phenomena, Gaussian laser beam, chaos and multistability, and other specific plasma studies |
| ISBN,Price | 9783031668746 |
| Keyword(s) | 1. BIOINFORMATICS
2. COMPLEX SYSTEMS
3. Computational and Systems Biology
4. EBOOK
5. EBOOK - SPRINGER
6. FLUIDS
7. MACHINE LEARNING
8. PLASMA WAVES
9. QUANTUM COMMUNICATION
10. Quantum Communications and Cryptography
11. Soft condensed matter
12. SYSTEM THEORY
13. Waves, instabilities and nonlinear plasma dynamics
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I13142 |
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On Shelf |
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8.
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| Title | Computational Design of Battery Materials |
| Author(s) | Hanaor, Dorian A. H |
| Publication | Cham, 1. Imprint: Springer
2. Springer International Publishing, 2024. |
| Description | XXIV, 573 p. 241 illus., 233 illus. in color : online resource |
| Abstract Note | This book presents an essential survey of the state of the art in the application of diverse computational methods to the interpretation, prediction, and design of high-performance battery materials. Rechargeable batteries have become one of the most important technologies supporting the global transition from fossil fuels to renewable energy sources. Aided by the growth of high-performance computing and machine learning technologies, computational methods are being applied to design the battery materials of the future and pave the way to a more sustainable energy economy. In this contributed collection, leading battery material researchers from across the globe share their methods, insights, and expert knowledge in the application of computational methods for battery material design and interpretation. With chapters featuring an array of computational techniques applied to model the relevant properties of cathodes, anodes, and electrolytes, this book provides the ideal starting point for any researcher looking to integrate computational tools in the development of next-generation battery materials and processes |
| ISBN,Price | 9783031473036 |
| Keyword(s) | 1. BATTERIES
2. Catalysis
3. Chemistry, Physical and theoretical
4. Computational Materials Science
5. CONDENSED MATTER
6. EBOOK
7. EBOOK - SPRINGER
8. Electric batteries
9. FORCE AND ENERGY
10. MACHINE LEARNING
11. MATERIALS
12. Materials for Energy and Catalysis
13. MATERIALS SCIENCE
14. THEORETICAL CHEMISTRY
15. Two-dimensional Materials
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I13089 |
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On Shelf |
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9.
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| Title | Next-Generation Cybersecurity : AI, ML, and Blockchain |
| Author(s) | Kaushik, Keshav;Sharma, Ishu |
| Publication | Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2024. |
| Description | XII, 470 p. 96 illus., 65 illus. in color : online resource |
| Abstract Note | This book highlights a comprehensive overview of the recent advancements and challenges in the field of cybersecurity with a focus on the integration of artificial intelligence (AI), machine learning (ML), and blockchain technologies. The book targets both researchers and practitioners working in the field of cybersecurity and aims to fill the gap in the current literature by providing a comprehensive and up-to-date examination of the integration of AI, ML, and blockchain in cybersecurity systems. The book has a technical focus and provides an in-depth examination of the latest developments in the field. It covers a range of topics including the basics of AI, ML, and blockchain, the application of AI and ML in cybersecurity, the use of blockchain in cybersecurity, and the integration of AI, ML, and blockchain in cybersecurity systems. Each chapter is written by leading experts in the field and provides a thorough and technical overview of the topic, including case studies, examples, and practical applications |
| ISBN,Price | 9789819712496 |
| Keyword(s) | 1. ARTIFICIAL INTELLIGENCE
2. Blockchain
3. Blockchains (Databases)
4. EBOOK
5. EBOOK - SPRINGER
6. Internet of things
7. MACHINE LEARNING
8. Security Science and Technology
9. Security systems
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I13039 |
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On Shelf |
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10.
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| Title | Machine Learning for Materials Discovery : Numerical Recipes and Practical Applications |
| Author(s) | Krishnan, N. M. Anoop;Kodamana, Hariprasad;Bhattoo, Ravinder |
| Publication | Cham, 1. Imprint: Springer
2. Springer International Publishing, 2024. |
| Description | XX, 279 p. 110 illus., 95 illus. in color : online resource |
| Abstract Note | Focusing on the fundamentals of machine learning, this book covers broad areas of data-driven modeling, ranging from simple regression to advanced machine learning and optimization methods for applications in materials modeling and discovery. The book explains complex mathematical concepts in a lucid manner to ensure that readers from different materials domains are able to use these techniques successfully. A unique feature of this book is its hands-on aspect???each method presented herein is accompanied by a code that implements the method in open-source platforms such as Python. This book is thus aimed at graduate students, researchers, and engineers to enable the use of data-driven methods for understanding and accelerating the discovery of novel materials |
| ISBN,Price | 9783031446221 |
| Keyword(s) | 1. Ceramic materials
2. Ceramics
3. COMPLEX SYSTEMS
4. Computational Materials Science
5. EBOOK
6. EBOOK - SPRINGER
7. MACHINE LEARNING
8. MATERIALS SCIENCE
9. MATHEMATICAL PHYSICS
10. SYSTEM THEORY
11. Theoretical, Mathematical and Computational Physics
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I13026 |
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On Shelf |
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