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Earlier sources: Hardware
Hardware is the physical foundation of computing: chips, sensors, devices, networks, and the processes that manufacture them. Follow semiconductor research, compute architectures, and engineering developments alongside their software and energy connections.
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 ↗515 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
Intrinsically Spin‐Exchange‐Field‐Modulated Two‐Dimensional Sensor with Platinum Single Atoms for High‐Performance Hydrogen Peroxide Monitoring ↗
ABSTRACT Single‐atom catalysts (SACs) offer broad prospects in catalysis and sensing due to their maximum atom efficiency and tunable coordination. However, the performance of Pt‐based SACs in electrochemical hydrogen peroxide (H 2 O 2 ) sensing remains kinetically limited. To overcome this, we propose a magnetic engineering strategy that introduces Fe/Co atoms adjacent to Pt sites. Through in situ pyrolysis, magnetized Pt SACs (mag‐Pt SACs) were stably anchored on a 2D electrode. This approach uses the intrinsic magnetic moments of Fe/Co to induce local spin polarization, thereby modulating t…
- OpenAlex · Published · First archived
Development of a Wearable Torsion Sensor Utilizing a Geometric Model and a Hysteresis-Compensated Calibration Engine ↗
Measuring torsional movement is crucial for tracking human kinematics in applications such as virtual reality, biomechanics, rehabilitation, and soft robotic joints. However, continuous, non-invasive torsion measurement remains challenging due to multi-axial deformations, where existing methods rely heavily on empirical data fitting or computationally expensive deep learning models requiring vast training datasets. To address these limitations, this paper proposes a training-free, highly precise torsion estimation framework that converts soft resistive strain sensor data into forearm rotation…
- OpenAlex · Published · First archived
A Hybrid Deterministic-Stochastic Cross-Layer Energy Model for Hierarchical Wireless Sensor Networks ↗
Accurate current-consumption estimation in IEEE 802.15.4 Wireless Sensor Networks requires linking network operation to the hardware states that determine node energy use. This paper proposes a cross-layer energy-modeling methodology that combines experimentally characterized Current Consumption Profiles (CCPs), protocol-derived state-duration models, topology-dependent workload, and a two-stage probabilistic model for retransmissions. The methodology distinguishes structurally constrained states, empirically modeled state durations, and discrete stochastic communication events. In the evaluat…
- OpenAlex · Published · First archived
Enhanced H2S gas sensing using Ta2O3/Au bilayer SPR sensor with semicircular prism configuration ↗
A high-sensitivity surface plasmon resonance (SPR) gas sensor based on a Ta 2 O 3 /Au bilayer integrated with a semicircular prism is experimentally demonstrated. By using the Kretschmann configuration with a BK7 prism, to significantly improve how light couples with the surface plasmons. The fabricated Au and Ta 2 O 3 thin films were deposited using the DC magnetron sputtering method, optimizing their thicknesses to the 20/50 nm. The sensing of H 2 S gas was investigated using a He–Ne laser (λ = 632.8 nm) by measuring the changes in the reflected intensity and incident resonance angle. The se…
- OpenAlex · Published · First archived
A Strain Compatibility Criterion for Three-Dimensional Chip Curling ↗
The final geometry of a three-dimensional chip is commonly described by a combination of geometric parameters, including curl radius, pitch, and axis orientation. However, parameter combinations that are mathematically admissible do not necessarily correspond to material deformations that are kinematically realizable. For regular helical chips formed under stable contact conditions between the chip-breaker and the chip, this study proposes a path–geometry strain compatibility criterion for the chip outer surface. A path-based surface strain model is first developed based on the steady-state sw…
- OpenAlex · Published · First archived
Textile-integrated iontronic foam for scalable and robust pressure sensing in wearable systems ↗
Flexible pressure sensors that are simple to manufacture, mechanically robust, and readily integrated with textiles are critical for the advancement of wearable health monitoring and human–machine interfaces (HMIs). This work reports a scalable, single-step route to such a sensor, fabricated from a commercially available fast-reaction foam (Flexfoam) cured directly onto conductive textiles and integrated with different concentrations of the ionic liquid (IL) 1-methyl-1-propylpyrrolidinium bis(trifluoromethylsulfonyl)imide ([PMPyrr][TFSI]). Increasing IL content reduces the foam expansion ratio…
- OpenAlex · Published · First archived
Exploring the Nexus of Metal Additive Manufacturing Adoption Readiness, Alternatives, and Strategic Goals ↗
Background: Small- and medium-sized enterprises (SMEs) can benefit from the flexibility of metal additive manufacturing (MAM) for producing a wide variety of products in small quantities. Selecting among MAM technologies requires a holistic evaluation of a company’s readiness and the anticipated adoption benefits. Methods: This study develops a multi-method decision-analysis framework to examine the nexus among MAM adoption readiness, technology alternatives, and strategic goals. The framework combines an interrelationship analysis of readiness factors with an assessment of their relationships…
- OpenAlex · Published · First archived
Machine-learned, finite temperature Fermi-operator expansions suitable for GPUs and AI-hardware ↗
We present several finite-temperature recursive Fermi–operator expansion schemes based on the second-order spectral projection (SP2) method. Our approach builds on a previous observation that the electronic structure problem, as formulated through a recursive SP2 expansion, can be mapped onto the architecture of a deep neural network. Using this perspective, we generalize SP2 to finite electronic temperatures by constructing machine learning models that determine optimized recursive expansion coefficients. The same approach is also applied to the prediction of the electronic entropy for fracti…
- Hacker News · Posted on Hacker News · First archived
Thirty Years of KDE, Coming to a Laptop Near You ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
You Can Scan a Book Quickly with High-Res Video and No Special Hardware ↗
Hacker News discussion.
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How to assess evidence about Hardware
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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