Physical Sciences › Engineering › Electrical and Electronic Engineering
Thin-Film Transistor Technologies
2 papers indexed
This topic and its hierarchy come from the OpenAlex classification, the open catalogue of the world's scientific research.
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Latest papers
- X-MoD: Practical Scaling Laws for Sparse-Depth Routing Beyond Mixture-of-Depths
Bowen Dong, Yilong Fan, Tengyu Pan, Yike Zhang, Zhenyu Li, Zijian Zhang, Xuewei Li, Mei Yu, Jianyong Wang · 30 September 2026
Mixture-of-Depths (MoD) enables conditional computation across Transformer depth by routing only a subset of tokens through selected layers, but its original one-sparse--one-dense alternation tightly couples total capacity to active capacity and limits sparse-depth scaling. We introduce X-MoD, a sca…
- PRISM: Position-encoded Regressive Inverse Spectral Model for Multilayer Thin-Film Design
Runtian Wang, Renhao Xue, Baige Chen, Hao Wu · 27 May 2026
The inverse problem of multilayer thin-film optical coatings design represents a complex combinatorial-continuous optimization challenge. We present PRISM (Position-encoded Regressive Inverse Spectral Model), a unified decoder-only autoregressive transformer that streamlines this process by jointly …
- Attention Saturation and Gradient Suppression at Inflection Layers: Diagnosing and Mitigating Bottlenecks in Transformer Adaptation
Wang Zixian · 4 November 2025
Pre-trained Transformers often exhibit over-confidence in source patterns and difficulty in forming new target-domain patterns during fine-tuning. We formalize the mechanism of output saturation leading to gradient suppression through standard cross-entropy and softmax analysis, showing that gradien…
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