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Earlier sources: Energy
Energy research and engineering concern how power is produced, stored, delivered, and consumed. Follow solar and nuclear power, fusion, geothermal systems, batteries, electricity grids, and changing power demand.
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 ↗611 classified signals in the fourteen-day window. Recent momentum: steady. 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.
- arXiv · Published · First archived
OrderFusion+: Probabilistic Buy--Sell Price Trajectory Forecasting in Intraday Electricity Markets ↗
Intraday electricity markets enable participants to adjust energy positions close to delivery, with price forecasts necessary to support trading and the scheduling of flexible electricity resources as well as increasingly responsive consumers. Forecasting model specifications have progressed from using macro-features, such as renewable generation and load, to the micro-features of continuous orderbooks. A recent advanced deep learning model, OrderFusion, explicitly models micro-level buy-sell orderbook interactions. However, despite its superior comparative forecasting performance, it consider…
- arXiv · Published · First archived
VEQDB: A Compact and Reconstructible Multi-Device Tokamak Equilibrium Database ↗
Tokamak equilibria are commonly exchanged as gridded G-EQDSK files whose conventions, resolutions, and machine-specific formats impede cross-device comparisons and data-driven modeling. Here, we present VEQDB, an open, compact, and reconstructible fixed-boundary equilibrium database built on continuous MXH--Chebyshev geometry and independent physical-profile roots. By decoupling authoritative equilibrium physics from rectangular meshes, VEQDB enables continuous evaluation and metric differentiation at arbitrary application-demanded resolutions. Backed by an automated numerical validation pipel…
- arXiv · Published · First archived
Mechanism of Ionization Avalanche in Tokamak Microwave Gas Breakdown ↗
Microwave breakdown driven by electron cyclotron (EC) waves provides a non-inductive route to plasma initiation in reactor-scale tokamaks. We introduce a three-dimensional Monte Carlo simulation that, for the first time, self-consistently treats nonlinear wave-particle interactions, atomic collisions, and guiding-center transport. The Monte Carlo simulation unveils the key role of parallel Brownian motion in the ionization avalanche mechanism. The predicted breakdown boundary is validated against KSTAR experiments. This work concludes that microwave gas breakdown will be successful under ITER-…
- arXiv · Published · First archived
Indirect-Drive Fusion Target Design for Commercial Fusion Energy ↗
This paper presents the physics basis for commercially relevant laser indirect-drive (LID) (radiation-driven) inertial fusion energy (IFE) using a 10 MJ laser driver. To date, this approach, proven at the National Ignition Facility (NIF), remains the first and only controlled fusion method to demonstrate the key physics required for fusion energy production, including a self-sustained burning plasma, substantially de-risking the path to commercial fusion energy. Building directly on these results, we present scaled designs to larger target sizes and fusion gains relevant for commercial power g…
- arXiv · Published · First archived
K-shell x-ray spectroscopy: A reliable probe for stimulated Raman scattering in inertial confinement fusion--- ↗
Accurate characterization of stimulated Raman scattering (SRS) remains a critical challenge in inertial confinement fusion (ICF), as SRS not only scatters laser energy but also generates suprathermal electrons that preheat the fuel and degrade implosion performance. Conventional backscatter diagnostics provide direct measurements of SRS but cannot collect the entire scattered-light signal, limiting the accurate characterization of SRS strength. Using a non-local thermodynamic equilibrium collisional-radiative model with a double-Maxwellian electron distribution, we systematically investigate h…
- arXiv · Published · First archived
Physics-Informed Neural Networks to Infer the Perpendicular Energy Conductivity in the Scrape-Off Layer of Stellarator Devices ↗
In this work, we develop an inverse Physics-Informed Neural Network (PINN) framework to infer the dependence of the scrape-off layer (SOL) perpendicular heat conductivity on plasma density and temperature, $κ_\perp(n,T)$. The method combines radial profile measurements of electron density and temperature with the residual of a reduced one-dimensional SOL transport equation, so that the inferred conductivity is constrained by both the measurements and the underlying transport model. Three neural networks are trained simultaneously: two reconstruct the temperature and density profiles as functio…
- arXiv · Published · First archived
Modeling of plasma transport during edge-localized mode in tokamak using a kinetic Vlasov-Poisson code ↗
A kinetic parallel transport code KOBRA based on a finite-volume method is developed to study edge localized mode (ELM) plasma transport from the mid-plane to divertor targets. The large scale separation between the Debye length (~cm) and the connection length (~10-20 m) leads to prohibitive computational cost in full 6D simulations. To alleviate this, an adaptive-mesh refinement (AMR) strategy is employed. Comparisons with uniform-grid simulations show that AMR accurately reproduces the characteristic ELM dynamics, including the rapid rise and slow decay of divertor fluxes, as well as the ear…
- CISA · Added to KEV · First archived
CVE-2025-61757: Oracle Fusion Middleware Missing Authentication for Critical Function Vulnerability ↗
Oracle Fusion Middleware contains a missing authentication for critical function vulnerability, allowing unauthenticated remote attackers to take over Identity Manager. Required action: Apply mitigations per vendor instructions, follow applicable BOD 22-01 guidance for cloud services, or discontinue use of the product if mitigations are unavailable.. Known ransomware campaign use: Unknown. Added to the KEV catalog: 2025-11-21 (not the first disclosure date). Action due date: 2025-12-12.
- CISA · Added to KEV · First archived
CVE-2025-22226: VMware ESXi, Workstation, and Fusion Information Disclosure Vulnerability ↗
VMware ESXi, Workstation, and Fusion contain an information disclosure vulnerability due to an out-of-bounds read in HGFS. Successful exploitation allows an attacker with administrative privileges to a virtual machine to leak memory from the vmx process. Required action: Apply mitigations per vendor instructions, follow applicable BOD 22-01 guidance for cloud services, or discontinue use of the product if mitigations are unavailable.. Known ransomware campaign use: Unknown. Added to the KEV catalog: 2025-03-04 (not the first disclosure date). Action due date: 2025-03-25.
- CISA · Added to KEV · First archived
CVE-2020-2551: Oracle Fusion Middleware Unspecified Vulnerability ↗
Oracle Fusion Middleware contains an unspecified vulnerability in the WLS Core Components that allows an unauthenticated attacker with network access via IIOP to compromise the WebLogic Server. Required action: Apply mitigations per vendor instructions or discontinue use of the product if mitigations are unavailable.. Known ransomware campaign use: Unknown. Added to the KEV catalog: 2023-11-16 (not the first disclosure date). Action due date: 2023-12-07.
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Energy
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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