Dr. Seon Joon Kim and his team at the Korea Institute of Science and Technology (KIST)'s Convergence Research Center for SEIF have developed a "high-conductivity amphiphilic MXene" material that can be dispersed in water, polar and nonpolar organic solvents.

Current robotic grippers employ soft and flexible materials to mimic human like grasping behavior. However, they require continuous energy input to maintain their grasp, limiting practical applications. In a new study, researchers develop an innovative bio-inspired bistable robotic gripper, that maintains its grasp with no energy input. It can also adjust the force required for switching between open and closed states, making it suitable for diverse tasks.

A new study introduces a machine learning tool that combines satellite imagery and weather data to monitor chickpea crop health. The system accurately estimates Leaf Area Index (LAI) and Leaf Water Potential (LWP) across commercial fields, helping farmers make smarter irrigation decisions and improve yields. This research marks the first large-scale application of such technology in chickpea farming.