Kangwon National University-South Korea
Author Profile
Early Academic Pursuits
Anshu Sharma embarked on her academic journey with a Bachelor's in Science from Maharshi Dayanand University, Haryana, followed by a Master's in Chemistry from Deenbandhu Chhotu Ram University of Science & Technology, India. Her passion for molecular interactions and thermodynamics drove her to pursue a Ph.D. at the same university, where she explored the thermodynamic properties of binary mixtures involving haloarenes.
Professional Endeavors
After completing her Ph.D., Anshu continued her academic pursuit as a Post-Doctoral Researcher at Kangwon National University, Republic of Korea, under the guidance of Prof. Bong Seop Lee. Here, she delved into pioneering research on utilizing Deep Eutectic Solvents (DES) for azeotropic mixture separation. Her work involved employing Gas Chromatography and machine learning algorithms to predict properties of chemical systems, contributing significantly to the field of green chemical processes.
Contributions and Research Focus
Anshu Sharma's research contributions are primarily focused on the applications of Deep Eutectic Solvents (DES) in separation processes, investigating vapor-liquid equilibria and liquid-liquid equilibria. Her work showcases the abolition of azeotropic points in mixtures through the judicious selection of DES, unveiling novel approaches to solvent design across various industries. Additionally, her studies on excess properties of binary mixtures elucidate molecular interactions, aiding in the advancement of scientific understanding and industrial processes.
Accolades and Recognition
Her dedication and expertise in the field earned Anshu the prestigious Global Korea Scholarship, facilitated by the Ministry of Education at Kangwon National University, Republic of Korea. Furthermore, her research findings have been published in reputable scientific journals such as Elsevier's Chemosphere and Journal of Molecular Liquids, solidifying her standing as a promising researcher in the realm of chemical processes.
Impact and Influence
Anshu Sharma's impactful research on DES applications for azeotropic separation and her adeptness in employing machine learning for predictive modeling have opened new avenues in solvent design, offering sustainable and versatile solutions. Her work not only contributes to the scientific community's understanding of molecular interactions but also holds implications for the enhancement of industrial processes and formulation designs.
Legacy and Future Contributions
Anshu Sharma's contributions in understanding molecular interactions, thermodynamic analyses, and the utilization of machine learning algorithms in predicting chemical properties pave the way for future advancements in green chemistry and process engineering. Her legacy lies in reshaping the landscape of solvent design, fostering sustainability, and influencing the development of novel methodologies in chemical engineering and scientific disciplines. Her future endeavors are anticipated to further revolutionize the application of DES in separation processes and extend the boundaries of predictive modeling in chemical systems.
Notable Publication