inertial confinement fusion
PulseAugur coverage of inertial confinement fusion — every cluster mentioning inertial confinement fusion across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
-
AI framework optimizes laser pulse shapes for fusion energy
Researchers have developed a new AI framework called the ICF Laser Pulse Shape Design System (LPDS) to optimize laser pulse shapes for inertial confinement fusion (ICF). This generative inverse modeling approach maps de…
-
New ACPNN framework offers adaptive uncertainty estimates for image regression models
Researchers have developed Adaptive Conformal Prediction using Nearest Neighbors (ACPNN), a new framework designed to provide input-dependent uncertainty estimates for image regression models. This method leverages info…
-
AI model ICF-DLM advances inertial confinement fusion prediction
Researchers have developed ICF-DLM, a novel language model-based predictor for inertial confinement fusion (ICF) that aims to improve accuracy and reduce costs associated with experiments at the National Ignition Facili…
-
Co4ICF framework enhances fusion simulations with co-evolving AI models
Researchers have developed Co4ICF, a novel framework that integrates a physics-informed surrogate model with a Proximal Policy Optimization (PPO)-based pulse optimizer. This co-evolving approach addresses the issue of o…
-
Log-Domain Noisier2Inverse framework advances ICF image denoising
A new self-supervised denoising framework, Log-Domain Noisier2Inverse, has been developed and evaluated for inertial confinement fusion (ICF) images affected by multiplicative uniform noise. The framework demonstrates s…
-
AI framework accelerates fusion energy discovery with expert knowledge
Researchers have developed a Human-in-the-Loop Meta Bayesian Optimization (HL-MBO) framework to accelerate scientific discovery in data-scarce fields like fusion energy. This approach combines expert knowledge with few-…