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期号 01 · September 2026

太赫兹研究观察

该时间窗内发表的每一篇太赫兹论文,均由人工阅读并编入索引。可检索、可筛选,并可跟进我们认为值得深入的十篇。

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点击柱条可筛选目录。

第一作者国别

前 12 名,共计 38.


值得跟进的十篇

按上手难易程度排序:方法完整给出,所需硬件多半已有,下一步实验明确。 此处展示其中三篇。

1

Motion-tracking THz-TDS with time-programmable frequency combs

Japan · Experiment · Free · arXiv 2609.06024

Motion-Tracking Terahertz Time-Domain Spectroscopy Enabled by Time-Programmable Frequency Combs for Moving-Object Sensing

The measurement window is locked electronically onto a moving THz waveform at up to 308 Hz, so the sample no longer has to sit still. Everything needed is in a free preprint, and the hardware is a dual-comb THz-TDS — no new components, the novelty is in the phase-lock set-point control.

下一步 point it at a vibrating or conveyor-borne part and see whether thickness or moisture readings survive real production motion. A cheaper half-step is closed-loop feedback on a conventional delay stage.

阅读论文 ↗PDF ↗
2

Physics-informed ML for THz-TDS quantification (coal–gangue)

China · Experiment · Free · Materials

Quantitative Prediction of Coal-Gangue Content Using THz-TDS and Physics-Informed Machine Learning

An effective-medium-theory-constrained neural network beats random forest, SVR, GPR and a plain ANN on the same data (R² 0.81). The whole feature set — time and frequency domain, refractive index, absorption, permittivity — and the cross-validation protocol are spelled out, and the paper is free with a PDF.

下一步 re-run the same pipeline on whatever mixture you already measure — polymers, powders, minerals. The transferable part is embedding a mixing law as a physics constraint, which is what keeps it honest on small datasets.

阅读论文 ↗PDF ↗
3

Resonance-anchored surrogate for absorber design across topologies

China · Theory / simulation · Free · Nanomaterials

Resonance-Anchored Residual Surrogate for Spectral Prediction and Inverse Design of THz Metamaterial Absorbers

Most ML metasurface models must be retrained whenever the geometry family changes; this one predicts resonance frequency and the local spectrum around it across several topologies, and does forward prediction and inverse design in one model. Free, with enough architecture detail to reimplement.

下一步 train it on your own simulation library so design sweeps stop costing full-wave runs. Even a partial replication tells you whether the resonance-anchored representation generalises to your geometries.

阅读论文 ↗

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