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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 ↗656 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.
- 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
Tunneling Magnetoresistance Current Sensors for Power and Energy Systems: A Critical Review of Architectures, Error Mechanisms, and Design Trade-Offs ↗
Current measurement in Power and Energy Systems must accommodate direct-current components, converter harmonics, fast transients, wide dynamic ranges, and strong electromagnetic interference. Tunneling magnetoresistance (TMR) sensors offer high field sensitivity, broad intrinsic bandwidth, compact size, and low power consumption, but these device-level advantages do not directly translate into system-level accuracy or usable bandwidth. The principal contribution of this review is a unified framework organized around sensor architecture that connects magnetic tunnel junction transfer characteri…
- 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…
- OpenAlex · Published · First archived
Adaptive power quality control with forecast-driven parameter optimization for reduced harmonic distortion in grid systems ↗
The increasing integration of distributed renewable energy sources (RES) into modern utility grids has intensified power quality (PQ) challenges, particularly under nonlinear and dynamically varying operating conditions. To overcome these challenges, this paper presents an intelligent method for developing PQ in grid-connected systems with a Tilted Integral Fractional Derivative with Filter plus Fractional Derivative (TIFDNFD) controller. The proposed method combines the Humboldt Squid Optimization Algorithm (HSOA) and Temporal Inductive Path Neural Network (TIPNN), which is termed the HSOA-TI…
- OpenAlex · Published · First archived
From gas flaring to renewable flexibility: energy-adequacy-constrained decarbonization pathways for Iraq ↗
Renewable-capacity planning can overstate decarbonization in a supply-constrained system because new clean generation may initially restore unmet electricity service rather than displace fossil output. This study develops a public-evidence-constrained, service-first planning framework for Iraq. Photovoltaic (PV), wind, and battery energy storage system (BESS) capacities are optimized within fixed multi-sector service trajectories and revalidated on all 8,784 hours of a reconstructed 2024 chronology for the 15-governorate federal-Iraq study area (Federal15). The central modeled 2050 state conta…
- OpenAlex · Published · First archived
Numerical simulation and performance optimization of InPbI3 perovskite solar cells ↗
In this study, InPbI 3 -based perovskite solar cells were numerically analyzed using the SCAPS-1D simulation tool. The device architecture, FTO/WS 2 /InPbI 3 /CuI, was modeled and systematically optimized. The investigation focused on the influence of parameters such as the thicknesses of the hole transport layer (HTL), electron transport layer (ETL), and absorber layer, as well as the acceptor dopant concentration in the perovskite, donor dopant concentration in the ETL, interface defect densities, series and shunt resistances, operating temperature, and metal work function on device performa…
- OpenAlex · Published · First archived
Numerical analysis and Investigation of the compatibility of kesterite hole transport layers with MASnI3 perovskite solar cells ↗
This study focuses on the design, performance optimization, and comparative analysis of MASnI 3 -based solar cells with various quaternary kesterite hole transport layers (HTLs). The influence of key parameters, such as absorber thickness, acceptor concentration, defect density, interface defect density, as well as transport layer thickness and carrier concentration, on device performance was systematically optimized using SCAPS-1D simulation software. Furthermore, the study also investigates the effect of operating temperature within the 300–500 K range, series resistance, and shunt resistanc…
- OpenAlex · Published · First archived
Mitochondrial Fusion and Fission in Age‐Related Cardio‐Cerebral Diseases: Mechanisms and Interventions ↗
Mitochondria play a crucial role in cellular energy metabolism. The heart and brain require a continuous and stable energy supply. Energy production strongly depends on proper mitochondrial function. Mitochondrial fusion and fission, known as "plasticity", are vital for maintaining the normal physiological function of cells. Recent studies have shown that impaired mitochondrial dynamics are present in many aging-related diseases, including Alzheimer's disease (AD), Parkinson's disease (PD), and atherosclerotic cardio-cerebrovascular disease. The role of impaired mitochondrial dynamics in the p…
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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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