FEBRUARY 27, 2026 Journal Article Revolutionizing Energy Storage: AI, Automation, and Advanced Modeling as Catalysts for Next-Generation Breakthroughs ( Read More )
FEBRUARY 2, 2026 Journal Article Autonomous Organic Synthesis for Redox Flow Batteries via Flexible Batch Bayesian Optimization ( Read More )
FEBRUARY 2, 2026 Conference Paper ReVise: A Human-AI Interface for Incremental Algorithmic Recourse ( Read More )
JANUARY 21, 2026 Journal Article Risk-Constrained Reinforcement Learning for Inverter-Dominated Power System Controls ( Read More )
JANUARY 6, 2026 Report An Ethics-Based Review of Generative Artificial Intelligence: Assuring Responsible Use ( Read More )
DECEMBER 30, 2025 Conference Paper Demystifying the Resilience of Large Language Models: An End-to-End Perspective ( Read More )
DECEMBER 6, 2025 Report ADEPT: A Pedagogical Framework for Integrating Agentic AI with Deterministic Scientific Workflows ( Read More )
NOVEMBER 21, 2025 Report GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration, and Development of Hidden Geothermal Resources ( Read More )
NOVEMBER 13, 2025 Report NeuroSymbolic Approaches as a Vector for Assured Artificial Intelligence ( Read More )
NOVEMBER 12, 2025 Journal Article Classifying Thermodynamic Cloud Phase Using Machine Learning Models ( Read More )
NOVEMBER 12, 2025 Journal Article Physics-informed machine learning for building performance simulation-A review of a nascent field ( Read More )
NOVEMBER 4, 2025 Conference Paper DS-TIDE: Harnessing Dynamical Systems for Efficient Time-Independent Differential Equation Solving ( Read More )
OCTOBER 16, 2025 Report VISIONARY: Virtual Intelligence System for Optimizing Novel Analytical Research Yields ( Read More )
OCTOBER 16, 2025 Report Autonomous Flow Electrochemistry for Accelerated Catalyst Discovery ( Read More )
OCTOBER 9, 2025 Journal Article Lidar-based evaluation of HRRR performance in the Diablo Range ( Read More )
SEPTEMBER 18, 2025 Journal Article Self-adaptive weights based on balanced residual decay rate for physics-informed neural networks and deep operator networks ( Read More )