A5017438228- Advanced Polymer Synthesis and Characterization
- Polymer Surface Interaction Studies
- Block Copolymer Self-Assembly
- Force Microscopy Techniques and Applications
- Robotic Path Planning Algorithms
- Reinforcement Learning in Robotics
- Molecular spectroscopy and chirality
- Organic Electronics and Photovoltaics
- IoT-based Smart Home Systems
- Neural Networks and Applications
- Synthesis and properties of polymers
- Hand Gesture Recognition Systems
- Spectroscopy and Quantum Chemical Studies
- Advanced Neural Network Applications
- Internet of Things and AI
- Nanofabrication and Lithography Techniques
- Fire Detection and Safety Systems
- Gaze Tracking and Assistive Technology
- Protein Structure and Dynamics
- Traffic Prediction and Management Techniques
University of Illinois Urbana-Champaign
2022-2025
Raisoni Group of Institutions
2024
Bhabha Atomic Research Centre
2018
Highly branched "bottlebrush" polymers are a class of macromolecules characterized by side chains that densely grafted from backbone is typically linear. Their unique and often-desirable properties stem steric repulsion between chains, which stiffens the molecular contour increases interchain spacing. There has been renaissance in both our fundamental understanding, practical synthesis, application these materials, due to synergistic advances all branches polymer science. In this...
Additive manufacturing capable of controlling and dynamically modulating structures down to the nanoscopic scale remains challenging. By marrying additive with self-assembly, we develop a UV (ultra-violet)-assisted direct ink write approach for on-the-fly modulation structural color by programming assembly kinetics through photo-cross-linking. We design photo-cross-linkable bottlebrush block copolymer solution as printing that exhibits vibrant (i.e., photonic properties) due lamellar formed...
Bottlebrush block copolymers (BBCPs), characterized by densely grafted side chains along their backbone, have emerged as promising materials for structural color applications. Their unique architecture prevents entanglement and facilitates rapid assembly kinetics, enabling the formation of various photonic crystals with high tunability from visible to infrared range. However, accessing non-1D structures has been largely limited synthetic approaches. In this paper, we report large modulation...
Atomistic molecular dynamics simulations have been used to investigate differences in the characteristics of aqueous solutions two structurally similar, biologically important molecules, namely, tert-butyl alcohol (TBA) and trimethylamine-N-oxide (TMAO). By analyzing radial distribution functions, preferential solvation factors, number nearest neighbors, structural are found be dramatically different. examining neighbor solute solvent molecules these solutions, it is that solution TMAO...
Bottlebrush polymers are large macromolecules with a high density of brushes grafted onto central backbone. Recent experimental work has seen the expansion these polymer architectures beyond cylinders. Herein we develop Monte Carlo (MC) method to explore precision which noncylindrical materials can be produced and look generate design rules for synthesis materials. The computational captures stochasticity polymerization methods generates ensembles bottlebrush using various synthetic...
This paper has proposed an IoT based industrial fault detection and diagnosis system. The (Internet of things) industry protection system employing Arduino is intended to safeguard industries from losses brought on by accidents monitoring the faults. Industrial such as gas leakage causes fire resulting in significant setbacks. Due furnace explosions, electrical short circuits, or other circumstances, quick also required. uses flame sensor along with detect well avoid any mishaps prevent...
This paper proposes a novel framework for autonomous drone navigation through cluttered environment. Control policies are learnt in low-level environment during training and applied to complex inference. The controller the is tricked into believing that robot still when it actually navigating more presented this can be adapted reuse simple tasks. We also show used as an interpretation tool reinforcement learning algorithms.