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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.
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Open in the map ↗531 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
Solvent‐Desorption‐Induced Formation of a Long‐Period Polymorph Yielding a High‐Performance Porphyrin‐Based Organic Semiconductor ↗
ABSTRACT Polymorphism is common in organic semiconductors, yet experimentally accessible crystal structures are often limited to thermodynamically favored phases formed under equilibrium crystallization conditions. Here, we report a structural transformation in single crystals of 5,15‐bisphenyl‐tetrabenzoporphyrin ( Ph‐BP ) triggered by the removal of intercalated o ‐dichlorobenzene. This transformation induces a 90° rotation of the π‐stacking direction between adjacent layers, giving rise to a previously unobserved long‐period polymorph characterized by the periodic alternation of two distinc…
- OpenAlex · Published · First archived
Bio‐Inspired Gradient Heterogeneous Architectures for Ultrasensitive and Robust Strain Sensors via Programmable Crack Engineering ↗
ABSTRACT The development of flexible strain sensors is crucial for next‐generation wearable medical devices and human‐machine interfaces (HMIs). While conductive networks based on random microcracks have been widely employed to enhance sensor responsiveness, they are often limited by trade‐offs between sensitivity and measurement range. Inspired by the stress concentration mechanism in insect campaniform sensilla (CS), this study proposes a biomimetic heterogeneous bilayer strain sensor based on a deterministic macrostructure. The sensor employs a bilayer cladding architecture with a U‐shaped…
- OpenAlex · Published · First archived
Photothermal sensor based on SiO2 microdisk cavity ↗
Green laser lasers are widely used in various fields, and precise detection of their power is of great significance. This study present a photothermal sensor based on SiO 2 microdisk cavity using MEMS technology, which utilizes laser-induced microdisk thermal deformation effect to achieve in-situ monitoring of green laser power. The structural dimensions of the microdisk cavity were optimized through optical numerical simulation, and its optical performance was evaluated; At the same time, the thermal deformation behavior and working stability of the microdisk were characterized through mechan…
- OpenAlex · Published · First archived
Metal additive manufacturing for high-performance electrical machines: a review ↗
Achieving high power density and ultra-high efficiency in electrical machines requires overcoming the inherent 2D geometric constraints of conventional mass-manufacturing methods. In this context, additive manufacturing (AM) enables the fabrication of complex, highly integrated components and emerges as a transformative approach for multidisciplinary optimization of mechanical and thermal performance. This critical review synthesizes the latest advances, key limitations, and future research directions for the application of AM to core electrical-machine components. The review covers the tailor…
- OpenAlex · Published · First archived
Monte Carlo-driven reinforcement learning for smart manufacturing systems ↗
Developing a smart control system capable of accounting for the dynamics of industrial equipment state changes and promptly detecting features of developing failures is currently a pressing issue. The goal of this study is to develop an intelligent technology for industrial equipment state diagnostics based on a modified MonteCarloDQN algorithm, with parameter tuning using the Monte Carlo Tree Search (MCTS) method and integration with the GEMMA (Guide d’étude des modes de marche et d’arrêt) model. The result of the algorithm's operation is sent to the GEMMA model “zone D”, which is responsible…
- OpenAlex · Published · First archived
Additive manufacturing and post-processing needs: an analysis of defect mitigation and performance enhancement ↗
Additive manufacturing (AM) has revolutionised the production of complex metallic components by enabling unprecedented geometric freedom; however, the layer-by-layer fabrication process inherently generates a complex landscape of defects, including extreme residual stresses, internal porosity, microstructural anisotropy, and high surface roughness. These structural anomalies significantly degrade the fatigue life and operational reliability of as-built parts, rendering them unsuitable for direct structural applications and necessitating a comprehensive, highly engineered post-processing workfl…
- OpenAlex · Published · First archived
Light‐Synergistic Enhanced Synaptic Devices Toward Superadditive In‐Sensor Computing ↗
ABSTRACT Conventional neuromorphic devices face challenges in achieving efficient integration of light sensing and synaptic computation because of structural and material limitations. In this work, we developed an indium‐tin‐zinc oxide/transparent gelatin electrolyte synaptic transistor incorporating rare metal indium. The device features a lateral‐gate and top‐enclosed configuration, enabling independent and synergistic modulation of both horizontal electrical inputs and vertical optical signals. We further revealed an oxygen‐vacancy‐mediated asymmetric carrier trapping mechanism, which, unde…
- OpenAlex · Published · First archived
Flexible and Transparent Ga 2 O 3 /NiO Photovoltaic Diode for Full‐Wave Rectification in Wearable Optoelectronics ↗
ABSTRACT Flexible and transparent electronic components are critical for next‐generation wearable optoelectronic devices, which require lightweight, flexible, and optically transparent power solutions. Wearable systems, including smart textiles, flexible displays, and bioelectronics, commonly operate using direct current (DC). While transparent photovoltaics can directly generate DC power under illumination, triboelectric and piezoelectric nanogenerators produce alternating current (AC), requiring efficient AC‐to‐DC conversion for practical use. However, conventional silicon‐based rectifiers a…
- OpenAlex · Published · First archived
Carbon-based materials coupled with metal oxide semiconductors for hydrogen sensors: linking mechanisms and dimensions ↗
Reliable H 2 detection is essential for hydrogen energy systems, industrial processing, battery safety, and clinical monitoring. Chemiresistive sensors based on metal oxide semiconductor (MOS) are widely used because of their low fabrication cost and facile integration. However, they still suffer from high operating temperatures, limited selectivity, poor humidity tolerance, and insufficient long-term stability. Incorporating carbonaceous materials with large specific surface areas, high carrier mobility, and tunable surface chemistry provides an effective route to address these limitations. T…
- Europe PMC · Published · First archived
Implementing an Intensified Dynamic Perfusion Process for Biologics Manufacturing at Scale and Continued Development. ↗
Perfusion cell culture is increasingly adopted to improve productivity, reduce footprint, and enable integrated continuous bioprocessing. The high-intensity, low-volume perfusion (HILVOP) process for antibody production was implemented at both 100 L pilot and 500 L manufacturing scales for early clinical supply, and development work was completed in tandem to create a next-generation HILVOP platform. The HILVOP process employs a dynamic two‑stage strategy, using cell‑controlled perfusion during the growth phase followed by product removal during the intensified production phase via tangential
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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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