Experimental and Computational Advances in Materials
Springer Verlag, Singapore
978-981-95-4179-9 (ISBN)
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Dr. Lalita Ledwani, Professor of Chemistry and Dean at Manipal University Jaipur, is a distinguished academic leader with 23+ years of post-PhD experience. A founding faculty of Manipal University Jaipur and Pandit Deendayal Energy University, she has led 11+ major government-funded projects, including the DST PURSE 2022 grant. She has 85+ publications, 50+ invited talks, and 65+ conference presentations, and is a Chartered Chemist (CChem) and Fellow of the Royal and Indian Chemical Societies (FRSC, FICS). Dr. Saurabh Srivastava is working as an assistant professor in the Department of Chemistry at Manipal University Jaipur (MUJ). He obtained his Ph.D. from Indian Institute of Technology Kanpur (IITK). After graduating from IITK he moved to the WPI-MANA center of National Institute for Materials Science (NIMS), Tsukuba, Japan, to work as a post-doctoral researcher till 2016 where he worked on the electron transport calculations for Molecular Electronics. He then moved to CEMES, CNRS lab at Toulouse France as a senior post-doctoral researcher where he worked till 2019 on the various nano materials to study the molecular gears. His current research is focused on the covalent organic frameworks to work as molecular gears and molecular electronics. His group at MUJ is also working to study the reaction mechanism in the drug-enzyme interactions and cancer proteins.
Novel Molecules and Materials for drug discovery.- Emerging 2D and 3D materials for nano electronics nano devices semiconductors.- Composite Materials.- Multifunctional nanomaterials.- Sensors and actuators.- Energy storage materials.
| Erscheinungsdatum | 29.11.2025 |
|---|---|
| Reihe/Serie | Engineering Materials |
| Zusatzinfo | 132 Illustrations, color; 3 Illustrations, black and white |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Naturwissenschaften ► Physik / Astronomie ► Atom- / Kern- / Molekularphysik | |
| Naturwissenschaften ► Physik / Astronomie ► Festkörperphysik | |
| Schlagworte | 2D and 3D materials • composite materials • Computational Modelling • drug discovery • Energy Storage Materials • machine learning methods • Multifunctional Nanomaterials • Nano-Devices • Sensors and actuators • Surface functionalized materials |
| ISBN-10 | 981-95-4179-4 / 9819541794 |
| ISBN-13 | 978-981-95-4179-9 / 9789819541799 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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