Energy and Utilities

Modern buildings face simultaneous challenges in maintaining thermal comfort, controlling humidity, and ensuring high indoor air quality (IAQ) while also reducing energy consumption and carbon emissions.

We have developed an AI-powered autonomous software development pipeline that is designed to assist domain scientists in creating interactive, web-based visual dashboards for visualizing complex environmental data and simulation outputs.

This invention describes a method for fabricating nuclear fuel compacts or pebbles containing multiple particle types embedded in spatially controlled arrangements during additive manufacturing. Unlike conventional particle (e.g.

To produce near-net large scale structural components, here, we propose utilizing electroforming process onto mandrels  to make HIP cans. The electroforming process is an electrochemical process involving mandrel electrodes.

Non uniform heat sources are common in power electronics applications, like multichip power modules.

Energy efficiency of training and inferencing with large neural network models is a critical challenge facing the future of large-scale machine learning workloads.

This invention addresses a common limitation in dishwashers: ineffective drying caused by water droplets clinging to dishware, particularly plastics. Residual moisture often leads to longer cycle times, higher energy use, and the need for manual drying.

Technologies are described directed to multi source query tool for energy grid based on large language models to understand energy reliability, resilience and affordability. 

This INF discloses a method to use pilot injection of methanol to maintain or improve COV of IMEP while reducing DME energy needed. The use of a methanol pilot injection allows for a reduction of DME used for ignition. It also reduces COV of IMEP.

Technologies directed to crosslinkers and catalyst processing of polycarbosilane precursors for low temperature SiC formation are described.