Spatio-temporal Analysis of Electric Field Induced Solid State Reduction Dynamics of Graphene Oxide Thin Films for Controlled Bandgap Modulation

N. Prasad, S. Tanwar, S. Mukhopadhyay and T. Kundu

J. Phys. Chem. C 124, 21874-21885 (2020)

An electric field-induced reduction mechanism studied for tuning the band gap of graphene oxide thin films in a two-electrode configuration on a SiO2/Si substrate is presented. During the reduction, temporal changes in the sheet resistance and optical band gap of the film were monitored and the correlation between these parameters in this solid state chemical reaction was established. As the reduction progresses, three different kinds of temporal dependence of electrical characteristics were observed. Further, from spatio-temporal analysis of the reduction of graphene oxide in such a disordered system, an analytical model was developed to describe the time dynamics of the reduction process. This model provides the flexibility for in situ monitoring the band gap of the material in terms of sheet resistance during the reduction, hence allowing device optimization for different applications. It is envisaged that this reduced graphene oxide-based tunable platform may find enormous potential for various electronic and optoelectronic applications.

This podcast, titled "The Digital Harvest: Modernizing Indian Agriculture Through Artificial Intelligence," explores the critical intersection of traditional farming and the digital revolution in India. Known as the "Land of Agriculture," India relies on farming for the livelihoods of more than half its population, yet its farmers are currently battling a complex array of environmental and economic hurdles.

Throughout the episodes, we delve into the most pressing challenges facing the agricultural sector in 2026, including:

• Climate Change: How unpredictable weather patterns and irregular monsoons lead to crop failures and financial loss.
• Pests and Disease: The struggle to identify plant diseases before substantial damage occurs.
• Resource Management: Navigating rising cultivation costs, water scarcity, and the inefficiencies of fragmented land holdings.
• Market Barriers: Overcoming market price volatility and a lack of cold chain infrastructure that leads to food wastage and reduced income.

The podcast highlights Artificial Intelligence (AI) as a transformative solution rather than a luxury. We examine how AI-powered tools—accessible through simple smartphone images—can provide early disease detection, smart irrigation optimization, and data-driven market intelligence to help farmers decide exactly when and where to sell their produce.

Join us as we discuss the shift toward a digitally empowered agricultural future, where platforms like PhytoLens AI are helping create a more resilient, sustainable, and profitable ecosystem for millions of farmers

🌿 Do plants “talk” to each other?Surprisingly — yes.

Recent scientific discoveries reveal that plants are far more intelligent and interconnected than we once imagined. When plants are stressed, diseased, attacked by insects, or facing drought, they send warning signals to neighboring plants through:🌱 Airborne chemical signals🌱 Underground fungal networks (“Wood Wide Web”)🌱 Electrical signaling🌱 Root exudates and microbial interactions.

These hidden communication systems help plants prepare defenses, share nutrients, and survive environmental challenges together. In this podcast, I explore the fascinating science behind plant communication and how emerging technologies like AI, hyperspectral imaging, biosensors, and precision agriculture are helping us decode this invisible language of nature.

🔬 This research could transform:

✔ Early disease detection

✔ Sustainable agriculture

✔ Smart farming systems

✔ Climate-resilient crops

✔ AI-driven plant health monitoring

Plants may be silent to us — but beneath the soil and through the air, an extraordinary biological conversation is constantly taking place.

In this episode, we explore how artificial intelligence is transforming agriculture through early and accurate plant disease detection. We introduce PhytoLens AI, an India based startup focused on empowering farmers with AI-driven tools that can identify crop diseases in real time using advanced imaging and machine learning.

We dive into the challenges farmers face due to delayed diagnosis, crop loss, and lack of accessible technology—and how AI can bridge this gap. The discussion also covers our innovative approach, including multispectral imaging and scalable solutions that can be integrated with smartphones and drones.

Whether you're a tech enthusiast, researcher, or someone passionate about agriculture, this episode highlights how cutting-edge AI is driving the future of sustainable farming.

www.phytolensai.com

“AI Research in Electronics, Healthcare & Agriculture: A Faculty Perspective”

“Hello, I’m Dr. Neetu Prasad, a faculty member and researcher in electronics engineering. My work focuses on integrating artificial intelligence with electronic sensors, nanomaterials, and imaging systems to develop intelligent solutions for healthcare and agriculture.”

Ending Credits : Nanoelectronics Pioneering The Future of Healthcare

Chapter 14. A Glimpse into the Future of Nanoelectronics in Healthcare

The future of nanoelectronics in healthcare holds tremendous promise, driven by ongoing advancements in nanotechnology, electronics, and their integration into medical applications. This chapter explores the potential future directions and innovations of nanoelectronics in healthcare, examining the transformative impact on diagnostics, treatments, patient care, and healthcare delivery.

Book: https://amzn.to/4fAdMnI

Chapter 13. Challenges and Opportunities (Nanoelectronics in Healthcare)

The field of nanoelectronics in healthcare presents a myriad of challenges and opportunities that influence its development, adoption, and impact on patient care. This chapter explores the current challenges faced by nanoelectronics in healthcare, alongside the opportunities they offer for innovation and advancement.

Amazon Book: https://amzn.to/4fAdMnI