4 papers
Protocol for Clustering 4DSTEM Data for Phase Differentiation in Glasses
Mridul Kumar, Yevgeny Rakita
Phase-change materials (PCMs) such as Ge-Sb-Te alloys are widely used in non-volatile memory applications due to their rapid and reversible switching between amorphous and crystall…
Prediction of EDS Maps from 4DSTEM Diffraction Patterns Using Convolutional Neural Networks
Mridul Kumar, Yevgeny Rakita
Understanding the relationship between atomic structure (order) and chemical composition (chemistry) is critical for advancing materials science, yet traditional spectroscopic tech…
Wired Beneath, Scented Above: A Dual-Parameter Approach to Soil-Plant Interaction via Electrical Resistance and VOC Analysis
Mridul Kumar, Soami Daya Krishnananda
Plants, being sessile organisms, have evolved a variety of defense mechanisms to protect themselves from invaders such as pathogens, insects, and herbivores. One key strategy is th…
Predicting Soil Macronutrient Levels: A Machine Learning Approach Models Trained on pH, Conductivity, and Average Power of Acid-Base Solutions
Mridul Kumar, Deepali Jain, Zeeshan Saifi +1
Soil macronutrients, particularly potassium ions (K), are indispensable for plant health, underpinning various physiological and biological processes, and facilitating the mana…