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Showing 1–3 of 3 results

Advanced filters: Author: I-Yun Hsieh Clear advanced filters

Super-resolution wind mapping with deep learning for scalable renewable energy planning

Super-resolution wind mapping is possible through combined frequency-based filtering and generative adversarial architecture, suggests a deep learning-based framework validated with a point-to-grid Monte Carlo evaluation scheme

Jun-Wei Ding
I-Yun Lisa Hsieh
ResearchOpen Access11 Dec 2025
Communications Earth & Environment

Volume: 7, P: 1-16
Phase separation of phospho-HDAC6 drives aberrant chromatin architecture in triple-negative breast cancer

Lu et al. investigate the involvement of liquid–liquid phase separation in the progression of triple-negative breast cancer and find that phosphorylated histone deacetylase 6 forms condensates that affect chromatin accessibility and oncogenic transcriptional programs.

Bing Lu
Ru Qiu
Wei Zhao
Research28 Aug 2024
Nature Cancer

Volume: 5, P: 1622-1640
Reducing supply risk of critical materials for clean energy via foreign direct investment

Critical clean energy materials exhibit supply risks due to unbalanced cross-country production and consumption patterns. A study now maps the global distribution of mineral property rights, through foreign direct investment, to show its potential role in reducing critical materials’ supply risks.

Xin Sun
Han Hao
Fuquan Zhao
Research18 Apr 2024
Nature Sustainability

Volume: 7, P: 672-681