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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 ↗726 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
Toward Rational Design of Aqueous Battery Membranes Beyond the Selectivity‐Conductivity Trade‐Off ↗
ABSTRACT Electrochemical energy‐storage systems increasingly require membranes that can simultaneously deliver fast ion transport, suppressed active‐species crossover, chemical and dimensional stability, and scalable manufacturability. Yet conventional membrane platforms still struggle to reconcile conductivity with selectivity, while durability and processability remain important practical constraints. Sulfonic‐acid‐based membranes are particularly attractive because they combine strong acidity, fixed‐charge character, and tunable hydrated ionic domains. Together, these features make sulfonic…
- OpenAlex · Published · First archived
A lightweight dynamic network framework based on feature complexity awareness and frequency-domain feature fusion for rail surface defect detection ↗
In real rail surface defect images, defect targets are small and the background is complex. Traditional deep learning methods struggle to capture small defect features, leading to low recognition accuracy. However, improving small-target recognition performance requires higher model complexity, which reduces running speed on edge computing devices and fails to meet real-time detection requirements. To address these problems, we propose a lightweight dynamic network framework based on feature complexity awareness and frequency-domain feature fusion for rail surface defect detection. This framew…
- OpenAlex · Published · First archived
Energy management optimization algorithm for data center microgrids based on solid-state transformers ↗
The proliferation of hyperscale data centers, together with tightening carbon-neutrality targets, exposes the limits of the line-frequency transformer (LFT) that still dominates data-center power distribution and motivates a fresh look at the conversion and dispatch layer. This paper develops an energy management framework for a data-center microgrid whose grid interface is a three-stage solid-state transformer (SST), so that renewable, storage, and IT loads sit on independently regulated AC and DC ports rather than behind a passive iron core. A multi-objective mixed-integer nonlinear program…
- OpenAlex · Published · First archived
Uncovering essential RNA components of fusion oncoprotein condensates using bicon-seq ↗
Fusion oncoproteins drive aggressive leukemias by mediating aberrant gene expression within specialized biomolecular condensates that contain various biomolecules. While RNA is known to influence condensate properties, the RNA constituents of fusion protein-containing onco-condensates remain poorly defined. Here, we use bicon-seq (biotinylated-isoxazole-mediated precipitation of condensome and RNA sequencing) to globally profile condensate-associated RNAs from cellular samples. Using experimental perturbation of cytoplasmic RNA-containing condensates, we demonstrated that bicon-seq accurately…
- OpenAlex · Published · First archived
Practical distributed 3D hydro-acoustic localization technology for spatially heterogeneous response cables with adaptive multi-array fusion ↗
Distributed optical fiber hydro-acoustic localization holds significant importance in underwater object detection, maritime security, and marine ecology monitoring. To address the practical challenge of spatial heterogeneity response of acoustic sensitive optical cable (ASOC), a practical distributed three-dimensional (3D) hydro-acoustic localization technology based on an adaptive multi-array fusion method is proposed in this paper. For the first time, Otsu’s method in the field of image processing is applied to the dynamic extraction of high response area of the cable. Multiple far-field det…
- OpenAlex · Published · First archived
Comparing SGLD and a fixed-noise predictor-corrector adaptation in canonical joint energy-based models on CIFAR-10 ↗
Abstract Joint Energy-Based Models (JEM) unify classification and generation within a single network and support out-of-distribution (OOD) detection. Canonical JEM training relies on stochastic gradient Langevin dynamics (SGLD); a theoretically motivated alternative, the Predictor-Corrector (PC) sampler, has not previously undergone a systematic replication test on the canonical model. We reproduce canonical JEM on WideResNet-28-10 without normalisation layers on two independent runs and test a fixed-noise PC adaptation – with the degenerate annealed-noise predictor replaced by a deterministic…
- OpenAlex · Published · First archived
Low-resource quantum energy gap estimation via randomization ↗
Estimating the energy spectra of quantum many-body systems is a fundamental task in quantum physics, with applications ranging from chemistry to condensed matter. Algorithmic shadow spectroscopy is a recent method that leverages randomized measurements on time-evolved quantum states to extract spectral information. However, implementing accurate time evolution with low-depth circuits remains a key challenge for near-term quantum hardware. In this work, we propose a hybrid quantum-classical protocol that integrates Time Evolution via Probabilistic Angle Interpolation (TE-PAI) into the shadow sp…
- OpenAlex · Published · First archived
High-temperature superconductivity from kinetic energy ↗
Superconductivity is usually assumed to arise from attractive interaction. In this work we show that strong pairing is possible soley from kinetic energy even without a net attraction. We demonstrate a high-temperature kinetic superconductor in a simple lattice model with nearest-neighbor hopping ($t$) projected onto a constrained Hilbert space, analogous to the $t$-$J$ model with $J=0$, where kinetic magnetism has been previously studied. Using density matrix renormalization group (DMRG) on cylinders up to width $L_y=8$, we find a superconducting ground state exhibiting a key difference from…
- Hacker News · Posted on Hacker News · First archived
The Download: open model trade-offs and geothermal power's promise ↗
Hacker News discussion.
- arXiv · Published · First archived
Finite-energy two-way assisted capacities: Exact formulas for multimode loss and fading ↗
We study quantum communication, entanglement distribution, and secret-key generation through multimode bosonic loss and fading channels, assisted by local quantum operations and two-way classical communication. Using sector teleportation, we determine the exact two-way quantum and secret-key capacities of multimode pure-loss channels under a mean photon-number constraint, allowing arbitrary adaptive quantum protocols. We extend these results to continuous frequency-dependent loss under a power constraint and identify the optimal allocation of photons among optical modes. For constant loss over…
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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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