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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 ↗520 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
Plasma-Based Atom-Selective Etching: Advancing Atomic-Scale Smooth Surface Manufacturing for Semiconductor Materials ↗
The development of human manufacturing technologies has entered the phase of atomic and close-to-atomic scale manufacturing (ACSM). The fabrication of semiconductor materials with atomic-scale smooth and damage-free surfaces is one of the core elements of ACSM and is pivotal to the rapid advancement of high-technology fields, such as integrated circuits and quantum computing. However, the simultaneous achievement of both high quality and high efficiency has consistently posed a substantial challenge for contemporary atomic-scale polishing processes. As a chemical-etching-based method, the nove…
- OpenAlex · Published · First archived
Investigating nozzle-based additive manufacturing dynamics with high-speed imaging and machine learning ↗
Abstract Additive manufacturing (AM) offers great design flexibility but remains constrained by the complexity of tuning processing parameters from a vast parameter search space either by traditional trial-and-error experimental approach or expensive computational fluid dynamics simulations. Further, AM processes involve critical transient phenomena at very small timescales ranging from microsecond to millisecond, which are difficult to observe and characterize experimentally. This work presents a novel approach that combines high-speed photography with machine learning (ML) to model and predi…
- OpenAlex · Published · First archived
GPU-Accelerated Guided Heuristic Sampling for Residual Error Probability Analysis in CAN FD Communication ↗
The deployment of automated driving features demands stringent compliance with ISO 26262, particularly concerning data integrity over in-vehicle networks. This study effectively addresses the computational challenges of quantifying the residual error probability of Classical CAN and CAN FD communication under high-order fault profiles. By introducing a GPU-accelerated residual error analysis framework utilizing OpenCL, it overcomes the mathematical barriers of traditional brute-force simulation, elevating execution speeds from 150,000 to 4.2 million iterations per second. Empirical evaluations…
- OpenAlex · Published · First archived
Optimization of Downskin Surface Quality in Laser Powder Bed Fusion of IN718 for Supportless Manufacturing ↗
Support structures remain a major limitation of laser powder bed fusion (LPBF), particularly for downward-facing surfaces prone to powder adhesion, dross formation, melt-pool instability, and staircase effects. This study investigates the downskin optimization of Inconel 718 (IN718), fabricated at a 35° inclination using a Renishaw RenAM 500S Flex. A Taguchi L25 orthogonal array was employed to evaluate three process parameters: hatch power (225–425 W), remelting times (0–4), and printing velocity (1100–1900 mm/s). Surface topography was characterized using an Alicona InfiniteFocus G5, with Sa…
- OpenAlex · Published · First archived
ESP32-S3-Based Multimodal Wearable for Remote Vital-Sign Acquisition with ECG-to-PPG Pulse-Arrival-Time Tracking and Functional Cloud Triage: An Engineering Proof of Concept ↗
Continuous remote physiological monitoring requires low-cost sensing nodes to preserve timing fidelity while maintaining secure connectivity and interpretable escalation. This study presents an engineering proof-of-concept platform centered on an ESP32-S3 with AD8232 ECG, MAX30102 PPG/SpO2, and MAX30205 contact-temperature sensing. FreeRTOS separates nominal 100 Hz ECG/PPG acquisition from network communication, and the ECG R-wave-to-peripheral-PPG-foot interval is treated as pulse-arrival time (PAT). Telemetry is transmitted over authenticated HTTPS to a Laravel platform, while a separate Fas…
- OpenAlex · Published · First archived
Neuroergonomic Assessment of Virtual Reality Training in Additive Manufacturing Using Wearable EEG ↗
Virtual reality (VR) has emerged as a promising training platform for additive manufacturing (AM) training. Yet, its neuroergonomic effects remain underexplored. This study addressed the gap using a multimodal approach combining subjective measures with wearable electroencephalography (EEG). Twenty-six participants were randomly assigned to either a VR or a lecture-based training condition, and all completed both declarative and procedural learning tasks in AM. Results showed that VR training significantly increased subjective engagement, cognitive control, and attention compared to lecture-ba…
- OpenAlex · Published · First archived
High-speed directional eddy-current smart sensor with VDA 5.1–compliant uncertainty analysis ↗
Abstract High-speed in-line (up to 1 m s −1 ) Non-Destructive Testing requires measurement systems whose uncertainty is traceable under realistic operating conditions. In this study, the uncertainty of a directional Eddy Current Testing (ECT) sensor is quantified in accordance with Verband der Automobilindustrie (VDA) 5.1 for two defect-severity metrics: voltage-based and phase-based signal-to-noise ratios (SNR). Ten inspection speeds (0.1–1.0 m s −1 ) were investigated with ten repeated scans per speed, enabling an ANOVA-based decomposition of Type A components and a systematic evaluation of…
- OpenAlex · Published · First archived
Two-Stage Versus One-Stage Architectures for Detecting Small, Distant Ground Vehicles on Edge Hardware: A Controlled Multi-Seed Evaluation of Accuracy, Speed, and Corruption Robustness ↗
Detecting small, distant ground vehicles in real time on edge hardware requires models that jointly balance accuracy, computational efficiency, and robustness to degraded imagery; therefore, deployment suitability cannot be inferred from accuracy on general-purpose benchmarks alone. This study compares five detection architectures spanning two-stage and one-stage families under a standardized experimental protocol, using a purpose-built dataset of 5501 annotated frames covering three classes of ground vehicles. Each configuration was trained with three random seeds using a leakage-controlled d…
- OpenAlex · Published · First archived
Learning to Route On-Chip: A Survey of Machine Learning-Based Routing in Networks-on-Chip and Its Hardware Overheads ↗
Network-on-Chip (NoC) fabrics are the dominant interconnect for many-core processors, yet widely used routing methods—dimension-order routing and turn-model-based adaptive variants—assume mostly local, low-variance congestion. Modern workloads generate dense and bursty traffic that breaks these assumptions, motivating data-driven routing. Following a PRISMA-ScR protocol across five databases (2015–2026), this survey reviews machine-learning-based NoC routing across a 48-study evidence base, where path selection is posed as a Markov Decision Process and addressed with reinforcement learning and…
- OpenAlex · Published · First archived
A superheterodyne 300 GHz receiver and transmitter chip set with high bandwidth and efficiency performance ↗
Abstract This paper presents a superheterodyne receiver and transmitter chip set with high bandwidth and efficiency suitable for superheterodyne communication systems. The operating range for the intermediate frequency is optimized for 60–90 GHz but extends beyond this frequency range. A radio frequency range from 285 and 325 GHz is achieved with the chip set introduced here. This paper presents continuous-wave on-wafer measurements for the receiver and transmitter. In the measurements, the transmitter achieves an output-referred 1 dB compression point of 0 dBm across the entire IF range. The…
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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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