In the rapidly evolving landscape of blockchain technology, smart contracts have emerged as a critical component, enabling self-executing agreements on decentralized platforms. Solidity, a programming language specifically designed for writing smart
In the realm of chemical engineering, optimizing operations is key to saving energy, resources, and costs. Two researchers, Dean Brandner and Sergio Lucia from the University of California, Santa Barbara, have been exploring how to improve this optim
Reinforcement Learning Revolutionizes Chemical Process Optimization Read More »
Researchers from the University of Science and Technology of China, led by Sen Chen, have developed a new framework to test the robustness of artificial intelligence agents designed to interact with graphical user interfaces (GUIs). Their work, publi
Boosting AI Robustness: New Framework Tests GUI Agents in Real-World Scenarios Read More »
In the realm of energy storage, a team of researchers from University College Dublin and the University of Sheffield have made significant strides in understanding the intricate electrochemical processes occurring in alloy anodes. Their work, publish
Revolutionizing Energy Storage: Breakthrough in Alloy Anode Science Read More »
In the realm of nuclear fusion energy, researchers are continually striving to overcome the computational challenges that hinder predictive modeling of stellarator plasmas. Luca Venerando Greco, a researcher affiliated with the Max Planck Institute f
Breakthrough in Stellarator Plasma Modeling Accelerates Fusion Energy Development Read More »
In the evolving landscape of artificial intelligence, a new paradigm known as “agentic AI” is gaining traction, promising significant advancements in various engineering fields, including electrical power systems. Researchers Soham Ghosh and Gaurav M
Agentic AI: Revolutionizing Electrical Engineering and Energy Systems Read More »
Researchers Vishal Kachhad, Amit Joshi, and Luigi Glielmo, affiliated with the University of Salerno in Italy, have published a study in the journal Applied Energy that explores how to optimize the use of solar power and battery storage systems withi
Optimizing Solar & Storage in Energy Communities: A Fair, Efficient Approach Read More »
Alina Kononov, Minh Nguyen, and Andrew D. Baczewski, researchers from Lawrence Livermore National Laboratory, have published a comprehensive review and practical guide on using real-time time-dependent density functional theory (TDDFT) to study high-
Real-Time TDDFT: A Game-Changer for Fusion Energy and Astrophysics Read More »
In the rapidly evolving world of artificial intelligence, a new paradigm known as “agentic AI” is gaining traction, particularly in the realm of electrical power systems engineering. Researchers Soham Ghosh and Gaurav Mittal, affiliated with the Univ
Agentic AI: Revolutionizing Electrical Power Systems Engineering Read More »
Researchers from the Princeton Plasma Physics Laboratory, including A. Rothstein, K. Erickson, R. Conlin, A. Bortolon, and E. Kolemen, have developed a new tool to enhance the real-time control of plasma in fusion reactors. Their work, published in t
Princeton Team Revolutionizes Real-Time Plasma Control for Fusion Reactors Read More »
