awesome-ai4s
github.com/hyperai/awesome-ai4s ↗AI for Science 论文解读合集（持续更新ing），论文/数据集/教程下载：hyper.ai
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AI+ 生物医药：AI+BiopharmaceuticalAI+ 医疗健康：AI+HealthcareAI+ 材料化学：AI+Materials ChemistryAI+动植物科学：AI+Zoology-BotanyAI+农林畜牧业：AI+Agriculture-Forestry-Animal husbandryAI+ 气象学：AI+MeteorologyAI+ 天文学：AI+AstronomyAI+ 自然灾害：AI+Natural DisasterAI4S 政策解读：AI4S Policy其他：Others
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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me 55. 4d 扩散模型 alphafolding，填补蛋白质动态结构预测空白 resources from awesome-ai4s"
Installation instructions →What's inside
AI+ 生物医药：AI+Biopharmaceutical
- 4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance55. 4D 扩散模型 AlphaFolding，填补蛋白质动态结构预测空白
- Accurate de novo design of high-affinity protein binding macrocycles using deep learning46. 大环肽结合物框架 RFpeptides，为不可成药蛋白质提供新可能性
- A conditional protein diffusion model generates artificial programmable endonuclease sequences with enhanced activity38. CPDiffusion 模型，超低成本、全自动设计功能型蛋白质
- A generalist medical language model for disease diagnosis assistance54. 医学语言模型 MedFound，推理能力接近专家医师
- A General Temperature-Guided Language Model to Design Proteins of Enhanced Stability and Activity49. 蛋白质序列大语言模型预训练方法 PRIME
- AlphaFold Meets Flow Matching for Generating Protein Ensembles31. 基于 AlphaFold 实现新突破，揭示蛋白质动态多样性
AI+ 材料化学：AI+Materials Chemistry
- Accelerating superconductor discovery through tempered deep learning of the electron-phonon spectral function28. 深度学习模型 BETE-NET，超导材料搜索效率提升 5 倍
- A comprehensive machine learning strategy for designing high-performance photoanode catalysts7. 利用机器学习优化 BiVO(4) 光阳极的助催化剂
- A comprehensive transformer-based approach for high-accuracy gas adsorption predictions in metal-organic frameworks14. 一种三维 MOF 材料吸附行为预测的机器学习模型 Uni-MOF
- Active Learning Guided Discovery of High Entropy Oxides Featuring High H2‑production27. 用主动学习识别 1.4 万个高熵氧化物，成功筛选 4 种高活性析氢催化剂
- Advancing refractory high entropy alloy development with AI-predictive models for high temperature oxidation resistance29. 梯度提升决策树 (GBDT) 技术，进一步提高高熵合金抗氧化性能的高精度预测
- A generative artificial intelligence framework based on a molecular diffusion model for the design of metal-organic frameworks for carbon capture1. 高通量计算框架 33 分钟生成 12 万种新型 MOFs 候选材料
AI+动植物科学：AI+Zoology-Botany
- Accurate proteome-wide missense variant effect prediction with AlphaMissense4. AI 相机警报系统准确区分老虎和其他物种
- Adaptive and maladaptive introgression in grapevine domestication8. 基于机器学习的群体遗传方法，揭示葡萄风味的形成机制
- A deep learning approach to photo–identification demonstrates high performance on two dozen cetacean species6. 基于人脸识别 ArcFace Classification Head 的多物种图像识别模型
- BirdFlow: Learning seasonal bird movements from eBird data10. BirdFlow 模型准确预测候鸟的飞行路径
- Contextual and combinatorial structure in sperm whale vocalisations12. 用机器学习分离抹香鲸发音字母表，高度类似人类语言，信息承载能力更强
- Drone-Based Harvest Data Prediction Can Reduce On-Farm Food Loss and Improve Farmer Income3. 利用无人机采集植物表型数据的系统化流程，预测最佳采收日期
AI+ 自然灾害：AI+Natural Disaster
- A deep learning system for predicting time to progression of diabetic retinopathy2. 语义分割模型 SCDUNet++ 用于滑坡测绘
- Data-Driven Predictions of Peak Warming Under Rapid Decarbonization10. AI 预测预测全球变暖状况
- Deep learning for cross-region streamflow and flood forecasting at a global scale7. ED-DLSTM实现无监测数据地区洪水预测
- Enhanced forecasting of chlorophyll-a concentration in coastal waters through integration of Fourier analysis and Transformer networks8. ChloroFormer 模型提前预警海洋藻类爆发
- Explainable artificial intelligence (XAI) for interpreting the contributing factors feed into the wildfire susceptibility prediction model5. 利用可解释性 AI ，分析澳大利亚吉普斯兰市的不同地理因素
- Global prediction of extreme floods in ungauged watersheds6. 基于机器学习的洪水预报模型
AI+ 医疗健康：AI+Healthcare
- A foundation model for generalizable disease detection from retinal images6. 视网膜图像基础模型 RETFound，预测多种系统性疾病
- A high-performance neuroprosthesis for speech decoding and avatar control13. AI 新脑机技术让失语患者「开口说话」
- A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis40. 医学模型 M³FM，可用于零样本临床诊断，支持疾病报告和疾病分类
- An interpretable model based on graph learning for diagnosis of Parkinson’s disease with voice-related EEG4. GSP-GCNs 实现帕金森病诊断准确率高达 90.2%
- Artificial intelligence-based models enabling accurate diagnosis ofovarian cancer using laboratory tests in China: a multicentre,retrospective cohort study16. 卵巢癌诊断人工智能融合模型 MCF，输入常规实验室检验数据和年龄即可计算卵巢癌的患病风险
- Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and Japan15. 机器学习辅助肺癌筛查的群体有效性
AI+ 天文学：AI+Astronomy
- A Hybrid Spatiotemporal Fusion Method for High Spatial Resolution Imagery: Fusion of Gaofen-1 and Sentinel-2 over Agricultural Landscapes6. StarFusion 模型实现高空间分辨率图像的预测
- An Algorithm for the Determination of Coronal Mass Ejection Kinematic Parameters Based on Machine Learning4. 基于机器学习的 CME 识别与参数获取方法
- Astronomaly at Scale: Searching for Anomalies Amongst 4 Million Galaxies3. 利用无监督机器学习算法 Astronomaly ，找到了之前为人忽视的异常现象
- Detecting rare neutral atomic-carbon absorbers with a deep neuralnetwork5. 深度学习发现 107 例中性碳吸收线
- Galaxy image deconvolution for weak gravitational lensing with unrolled plug-and-play ADMM2. 利用模拟数据训练计算机视觉算法，对天文图像进行锐化「还原」
- Galsim2. 利用模拟数据训练计算机视觉算法，对天文图像进行锐化「还原」
其他：Others
- AI for Science：智能化科学设施变革基础研究3. 智能化科学设施推进科研范式变革
- A neural network model to optimize the measure of spatial proximity in geographically weighted regression approach: a case study on house price in Wuhan15. 精准预测武汉房价！osp-GNNWR 模型准确描述复杂空间过程和地理现象
- An open dataset for oracle bone script recognition and decipherment19. 含 14 万张图像！甲骨文数据集助力团队摘冠 ACL 最佳论文
- Artificial Intelligence in Meta-optics11. AI 在超光学中的正问题及逆问题、基于超表面系统的数据分析
- ChipNeMo: Domain-Adapted LLMs for Chip Design5. 大语言模型 ChipNeMo 辅助工程师完成芯片设计
- DataComp-LM: In search of the next generation of training sets for language models17. 斯坦福/苹果等 23 所机构发布 DCLM 基准测试，基础模型与 Llama3 8B 表现相当
AI+ 气象学：AI+Meteorology
- A new paradigm for medium-range severe weather forecasts: probabilistic random forest-based predictions4. 基于随机森林的机器学习模型 CSU-MLP，预测中期恶劣天气
- https://hyper.ai/news/249953. 利用全球风暴解析模拟与机器学习，创建新算法，准确预测极端降水
- https://hyper.ai/news/258742. 综述：从雹暴中心收集数据，利用大模型预测极端天气
- https://hyper.ai/news/281241. 综述：数据驱动的机器学习天气预报模型
Showing a sample of 380 resources. View the full list on GitHub →