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Earlier sources: Fusion
This energy thread follows fusion through original research, public projects, and source reports. Read the evidence below to see which developments are represented in SYMTRI’s archive.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗129 classified signals in the fourteen-day window. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- OpenAlex · Published · First archived
Designing a buildable optimised stellarator to confine electron–positron plasmas ↗
In this paper, the design of the plasma equilibrium and superconducting coils for the electrons and positrons in an optimised stellarator electrons and positrons in an optimized stellarator (EPOS), experiment is presented. With newly developed stellarator optimisation tools, including single-stage and stochastic optimisation, as well as high-temperature superconductor strain, this work demonstrates that it is possible to achieve key metrics for the buildability and confinement properties of the device. In particular, satisfactory quality of quasisymmetry and stellarator robustness is designed,…
- OpenAlex · Published · First archived
Pathways and mechanisms for layer-wise regulation during laser powder bed fusion of horizontal overhang structures ↗
Laser powder bed fusion (LPBF) enables the freeform fabrication of complex metallic components, yet stable support-free forming of horizontal overhang closure structures remains a major challenge because of severe thermal stress accumulation, insufficient transient support, and progressive closure-region instability. Here, we present a mechanism-guided strategy for overcoming this limitation. An octagonal horizontal overhang structure with closure features was designed using AlCoCrFeNi 2.1 high-entropy alloy as a model material. By integrating in-situ visible-light monitoring, Molten-pool Time…
- arXiv · Published · First archived
AI-Accelerated Gyrokinetic Predictions of Turbulent Transport for Stellarator Design Optimization and Experimental Planning ↗
Previous work built AI-based surrogates for a nonlinear gyrokinetic simulation code with the goal of using them for fast, direct calculations of turbulent ion heat flux in stellarator design optimizations and scenario planning for experiments. These AI surrogates were trained on data from >200k nonlinear, adiabatic electron gyrokinetic simulations with the gyrokinetic flux-tube code GX, using a wide range of stellarator magnetic configurations ($\sim$23k), positions in the plasma, and gradient scale lengths. In this paper, we demonstrate the use of the AI-based turbulence surrogate in the opti…
- arXiv · Published · First archived
Retrospective on the Design and Implementation of the Milestone-Based Fusion Development Program of the U.S. Department of Energy ↗
This paper provides a detailed account of the origins, objectives, design, and implementation of the Milestone-Based Fusion Development Program, a public-private-partnership (PPP) program launched by the U.S. Department of Energy's Office of Science in September 2022. The purpose of this program is multi-faceted, with policy, scientific and technological (S&T), and commercialization objectives. Tactically, the program supports privately funded fusion companies in closing S&T gaps toward delivering preliminary engineering designs of their demonstration fusion plants (aka "fusion pilot plants").…
- GitHub · Repository created · First archived
Tanerinki/fusion-cli ↗
Local multi-model coding control plane. Models propose; Fusion verifies and delivers — nothing reaches your repo until you approve its exact bytes.
- OpenAlex · Published · First archived
Parallel Local–Global Feature Extraction and Cross-Attention Gated Fusion for Network Intrusion Detection ↗
With the rapid advancement of network technology and the Internet of Things (IoT), massive, high-dimensional traffic data pose significant challenges to Network Intrusion Detection Systems (NIDS). Existing deep learning methods face two major limitations: (1) Insufficient feature extraction: single models struggle to concurrently capture local and global features, while serial hybrid architectures are prone to feature information loss. (2) Superficial feature fusion: existing strategies overlook deep interactions between features and lack adaptive filtering mechanisms to eliminate redundant in…
- OpenAlex · Published · First archived
SET-HOI: Skeleton-Enhanced Transformer with Parallel Fusion for HOI Detection ↗
Human–Object Interaction (HOI) detection seeks to identify the relationships between humans and objects in images that play a pivotal role in high-level vision tasks and biomimetic systems, such as biomimetic robotics, intelligent prosthetics, and embodied AI for intent understanding. However, existing approaches that rely solely on visual appearance features are susceptible to background interference, which adversely affects detection accuracy. Inspired by the biomimetic dual-stream mechanism of biological visual perception, we propose a Transformer-based HOI detection model with a dual-branc…
- OpenAlex · Published · First archived
Physics-Guided Dual-Branch Domain Generalization with Confidence-Adaptive Decision Fusion for Cross-Speed Fault Diagnosis of Planetary Gearboxes ↗
Data distribution shift across different rotational speeds limits domain generalized fault diagnosis for planetary gearboxes. Existing single-representation domain generalization (DG) methods degrade severely in cross-speed extrapolation, with different representations showing speed-dependent advantages. The core contribution of this paper is a sample-wise confidence-adaptive decision fusion mechanism under the pure DG constraint. For each test sample, the fusion weights are computed online from the relative softmax prediction confidence of the two branches. The mechanism requires neither targ…
- OpenAlex · Published · First archived
Early Porosity Detection in High-Pressure Die Casting Using Explainable Multimodal Data Fusion ↗
Early and reliable detection of defects in the metal industry is crucial for improving quality, reducing costs and minimizing the environmental impact of manufacturing processes. In High-Pressure Die Casting (HPDC), porosity is one of the most severe defect types. This paper presents an explainable, multimodal approach to the early detection of porosity, which can be used as a preliminary step to reduce the number of parts requiring further, more time-consuming and expensive tests. Our work combines different data sources, such as machine sensor measurements, process time-series data and therm…
- OpenAlex · Published · First archived
SynerHyper: Predicting Anticancer Drug Synergy for Lung Cancer Using Uni-Mol Enhanced Hypergraph Neural Networks and Multimodal Fusion ↗
Lung cancer remains a leading cause of cancer-related mortality worldwide, and combination therapy is an important strategy for improving treatment efficacy and overcoming drug resistance. However, identifying synergistic drug combinations remains challenging because of the large combinatorial search space and the strong dependence of drug responses on cellular context. Here, we present SynerHyper, a multimodal computational framework for lung cancer drug synergy prediction that integrates three-dimensional molecular representations, transcriptomic profiles, hypergraph learning, and ensemble f…
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How to assess evidence about Fusion
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
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