work Spatially Separated Crystallization for Selective Lithium Extraction from Saline Water Design an efficient and self-concentrating crystallization method for the selective extraction of lithium from both brines and seawater. Machine Learning for Polymer Design to Enhance Pervaporation-Based Organic Recovery Developed a robust ML model for the first time that can facilitate the screening of polymers for PV membranes. Highly Selective Electrochemical Nitrate to Ammonia Conversion by Dispersed Ru in a Multielement Alloy Catalyst The first study that investigates the synergistic effect between multiple reaction sites on multi-elemental alloy nanoparticles for effective ENR reaction. Selective Li Extraction via Material Engineering and Surface Treatment Enhancing lithium extraction performance through material engineering and process modeling. Evaporation Model Development for 2D and 3D Evaporators Develop precise evaporation model with environmental conditions using energy balance model. Advancing Environmental Studies with a Specialized Large Language Model (LLM) Develop domain-specific LLM for environmental-related studies Functional Coating by Atomic Layer Deposition Designing electrochromic material, ion-selective membrane, protective coating using Atomic Layer Deposition. Wood Reactive Evaporator for Selenium Recovery We developed and tested a wood-based reactive evaporator, which reduces the volume of the wastewater and recovers selenium at the same time.
