APRIL 1, 2026 Journal Article What do physics-informed DeepONets learn? Understanding and improving training for scientific computing applications ( Read More )
MARCH 20, 2026 Journal Article Generalizable Image Segmentation for Microstructure Characterization Through Integrated SEM and EBSD Analysis ( Read More )
MARCH 20, 2026 Conference Paper Can Large Language Models Understand Intermediate Representations? ( Read More )
MARCH 20, 2026 Conference Paper Safe Physics-Informed Machine Learning for Dynamics and Control ( Read More )
MARCH 18, 2026 Journal Article Generalist Multimodal AI: A Review of Architectures, Challenges and Opportunities ( Read More )
MARCH 18, 2026 Journal Article Monitoring river flow status using low-cost wildlife camera and image segmentation artificial intelligence ( Read More )
MARCH 10, 2026 Report Countering Weapons of Mass Destruction (CWMD) Zero Trust Framework: CWMD Zero Trust Principles Model ( Read More )
FEBRUARY 27, 2026 Journal Article Revolutionizing Energy Storage: AI, Automation, and Advanced Modeling as Catalysts for Next-Generation Breakthroughs ( Read More )
FEBRUARY 26, 2026 Report Resilience Through Data-Driven, Intelligent Designed Control: A Formal Methods Approach ( 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 )
JANUARY 1, 2026 Journal Article A machine learning method of modern urban building energy modeling: A case study of Chicago ( 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 )