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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 ↗708 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
TPA-NET: A Progressive Cross-Modal Alignment and Confidence Fusion Network for Object Detection in Low-Resolution Optical-SAR Remote Sensing Imagery ↗
Object detection in low-resolution optical-SAR remote sensing imagery is challenged by degraded object structures, residual cross-modal spatial inconsistency, and unreliable SAR responses. To address these issues, we propose TPA-NET, a progressive cross-modal alignment and confidence fusion network built on YOLOv10. TPA-NET adopts a three-stage coarse-to-fine processing strategy. The Shallow Coarse Alignment (SCA) module performs initial feature-space calibration, the Pyramid Residual Alignment (PRA) module further refines local cross-modal correspondence across multiple scales, and the Detect…
- OpenAlex · Published · First archived
Hybrid Global Maximum Power Point Tracking for Partially Shaded Photovoltaic Arrays Using Improved Cuckoo Search and Synergetic Control ↗
Partial shading creates multiple peaks in the power–voltage characteristic of a photovoltaic (PV) array, making global maximum power point tracking (MPPT) difficult. This study investigates ICS-Synergetic Control, an event-triggered global–local MPPT framework for a series-connected PV array and Boost converter, in which an improved cuckoo search evaluates candidate peak regions, synergetic control regulates the accepted operating point, and a locking mechanism limits unnecessary perturbations. Two sensing configurations are considered: ICS-SC-I uses module-level irradiance, whereas ICS-SC-E u…
- OpenAlex · Published · First archived
Criticality Preservation Without Using a Classical Control System in a Small-Scale Demonstrator for a Molten Salt Fast Reactor ↗
The Molten Salt Fast Reactor (MSFR) concept, integrated into the iMAGINE framework, offers a transformative approach to nuclear waste management and fuel cycle closure. However, industrial deployment requires a small-scale demonstrator, DEMO, to validate reactor physics and safety under realistic conditions. This study investigates the central challenge of sustaining criticality in a 50 MWth demonstrator over a 20-year lifespan, with the innovative challenge of operating without employing a traditional mechanical control system. Using the HELIOS code package, simulations reveal that a referenc…
- OpenAlex · Published · First archived
Structural improvement of tilting-pad thrust bearings in nuclear reactor coolant pumps based on thermal elastohydrodynamic lubrication analysis ↗
As a core supporting component of a nuclear main pump, the tilting-pad thrust bearing carries a large axial load, and its lubrication performance directly affects the operational reliability of the pump. This study develops a fluid–structure coupled thermal elastohydrodynamic lubrication model for an oil-lubricated point-supported tilting-pad thrust bearing by considering the contact effect at the pad-back pivot. Within each physical time step, partitioned iterative coupling is implemented between the oil-film lubrication field and the thermoelastic deformation field of the pad. Based on this…
- OpenAlex · Published · First archived
Safe burial depth of underground lined gas storage caverns: An analysis integrating elastoplasticity and ultimate equilibrium ↗
Existing analytical models for the safe burial depth design of compressed air energy storage (CAES) caverns typically assume that the operational air pressure is directly transmitted to the surrounding rock wall, neglecting the load-sharing effect of the lining, which leads to overly conservative burial depth estimates. Meanwhile, most previous studies have focused on hydrostatic in-situ stress conditions, leaving the influence of the lateral pressure coefficient on the spatial distribution of plastic zones largely unexplored. This study establishes a dual-criterion analytical framework integr…
- OpenAlex · Published · First archived
Technological advancements in biohydrogen production and downstream processing for green energy transition: A review ↗
Abstract A rapid transition toward sustainable and clean energy is necessary for a secure energy future in today's dynamic world. Biohydrogen produced from waste biomass is gaining momentum; however, raw biohydrogen comprises tracer impurities, and its commercial use further requires extensive downstream technologies. Conventional purification strategies offer great selectivity with the promise of modular and low‐energy operation and can provide purities up to 99.99% with recoveries of 80%–90%, whereas storage of ~71 kg/m 3 at −253°C biohydrogen consumes ~30% of its heating value. However, adv…
- OpenAlex · Published · First archived
Position-dependent fusion and non-fusion of colliding dark solitons in harmonically trapped Bose–Einstein condensates ↗
Dark-soliton collisions exhibit two distinct regimes, fusion and non-fusion, characterized by different density profiles at the collision instant. For symmetric soliton pairs on a homogeneous background, the two regimes are separated by the critical velocity vc=cs/2. In a harmonically trapped Bose–Einstein condensate, however, both the background density and the soliton velocities vary along the trajectories, making the incoming local conditions position dependent. Combining the exact homogeneous two-soliton solution with a local-density description of the trapped background, we obtain ρpred=n…
- OpenAlex · Published · First archived
Comparative Analysis of Relative Ligand Binding Free Energy Simulation Methods: Amber-TI, GROMACS-NETI, OpenMM-FEP, and BLaDE-MSLD ↗
Abstract Structure-based drug design has become increasingly important in the pharmaceutical industry for accelerating the discovery of effective drug candidates. In particular, ligand binding free energy serves as a critical metric for predicting drug efficacy during the key stages of hit discovery and lead optimization. Continuous progress has been made in the prediction of ligand binding free energies, but direct comparisons of different methods using the same force field remain challenging due to their unique implementations in different simulation engines. In this study, we present a dire…
- OpenAlex · Published · First archived
Performance analysis of optimising tilt and azimuth angles of residential photovoltaics without storage ↗
Solar photovoltaic (PV) systems represent a promising solution for the ongoing transition from fossil fuels to renewable energy sources. However, their performance is highly dependent on the tilt and azimuth angles of the panels. Therefore, this research aims to determine the optimal tilt and azimuth angles for PV systems and to analyse their energy generation and consumption patterns and economic performance. Adelaide, South Australia, is used as the reference location for modelling PV systems to meet residential energy demand using the Transient System Simulation (TRNSYS), and this software…
- OpenAlex · Published · First archived
Deep Learning-Based Inverse Identification of the Johnson–Cook Yield and Fracture Parameters for Ti-6Al-4V Fabricated by Laser Powder Bed Fusion Using Batch Finite Element Simulation Data ↗
Finite element analysis (FEA) is a key tool for predicting the mechanical behavior of additively manufactured parts. However, its predictive accuracy relies on the underlying constitutive model and, in particular, on precise model parameters. The main purpose of this study is to develop and validate a condition-grouped multimodal deep learning framework for efficiently identifying the ten parameters of the Johnson–Cook (JC) yield and fracture models for Ti-6Al-4V (TC4) alloy fabricated by laser powder bed fusion (L-PBF) using batch finite element simulation data. Using nearly 20,000 simulation…
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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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