New Quanscient and Haiqu algorithm targets scalable fluid simulations on quantum computers

Core to the approach is what the companies call a one-step simplified LBM, or OSSLBM, framework. The method uses a hybrid ...

Less invasive method to assess coronary flow similar to gold standard, study shows

A novel, minimally invasive computer software-based method that uses artificial intelligence to determine whether plaques in ...
TheStreet.com

Flow Launches the Next Phase of Consumer DeFi

As the premier consumer L1 network, Flow has proven that incubating killer apps is as vital as fostering a robust, open infrastructure. Flow launched its network with groundbreaking partnerships, ...
IEEE

A Data-Driven Real-Time Optimal Power Flow Algorithm Using Local Feedback in Distribution Networks

Abstract: The increasing penetration of distributed energy resources (DERs) adds variability as well as fast control capabilities to power networks. Dispatching the DERs based on local information to ...
IEEE

Eigenvalue-Based Hidden Convexity Algorithm for Radial Distribution Network Optimization with Non-convex Power Flow Equations

Abstract: Distribution network optimization is represented by non-convex power flow equations, where traditional convex relaxation methods may lead to inaccurate or infeasible solutions. To ...
GitHub

Ford-Fulkerson Algorithm Implementation

Ford-Fullkerson-Algorithm/ ├── src/ # Source code │ ├── utils.h/.c # Utility functions and data structures │ ├── graph.h/.c # Graph representation and operations │ ├── path.h/.c # Path finding ...
C&EN

Data-Driven Flow Control for Natural Gas Pipeline Networks: Optimizing via Anomaly Detection and Residual Weight Coefficients

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The natural gas pipeline network has a complex topology with variable flow directions, ...