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+ BiopharmaceuticalAI+ HealthcareAI+ Materials ChemistryAI+ Zoology-BotanyAI+ Agriculture-Forestry-Animal husbandryAI+ MeteorologyAI+ AstronomyAI+ Natural DisasterOthers
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"Show me 55. 4d diffusion model alphafolding fills the gap in dynamic protein structure prediction resources from awesome-ai4s"
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AI+ Biopharmaceutical
- 4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance55. 4D diffusion model AlphaFolding fills the gap in dynamic protein structure prediction
- Ab initio RNA structure prediction with composite language model and denoised end-to-end learning64. High-accuracy RNA structure prediction framework DRfold2 surpasses SOTA in multiple benchmarks
- Accurate de novo design of high-affinity protein binding macrocycles using deep learning46. Macrocyclic peptide binder framework RFpeptides offers new possibilities for undruggable proteins
- A conditional protein diffusion model generates artificial programmable endonuclease sequences with enhanced activity38. CPDiffusion model designs functional proteins fully automatically at an ultra-low cost
- Advancing Protein Ensemble Predictions Across the Order–Disorder Continuum85. Generative model PepTron and new evaluation benchmark released, reshaping prediction capabilities for disordered protein ensembles
- A generalist medical language model for disease diagnosis assistance54. Medical language model MedFound approaches expert physician reasoning capabilities
AI+ Materials Chemistry
- Ab initio structure solutions from nanocrystalline powder diffraction data via diffusion models34. Generative AI structure solution method PXRDnet based on diffusion models successfully solves 200 complex simulated nanocrystals
- Accelerating superconductor discovery through tempered deep learning of the electron-phonon spectral function28. Deep learning model BETE-NET boosts superconducting material search efficiency by 5x
- A comprehensive machine learning strategy for designing high-performance photoanode catalysts7. Using machine learning to optimize co-catalysts for BiVO(4) photoanodes
- A comprehensive transformer-based approach for high-accuracy gas adsorption predictions in metal-organic frameworks14. Uni-MOF: A machine learning model predicting adsorption behavior in 3D MOF materials
- Active Learning Guided Discovery of High Entropy Oxides Featuring High H2‑production27. Using active learning to identify 14,000 high-entropy oxides, successfully screening 4 high-activity hydrogen evolution catalysts
- Advancing refractory high entropy alloy development with AI-predictive models for high temperature oxidation resistance29. Gradient Boosting Decision Tree (GBDT) technology further improves high-precision prediction of high-entropy alloy oxidation resistance
AI+ Meteorology
- Accurate Mediterranean Sea forecasting via graph-based deep learning13. Joint team proposes Graph Neural Network model SeaCast, achieving ultra-fast regional ocean forecasting
- A new paradigm for medium-range severe weather forecasts: probabilistic random forest-based predictions4. Random Forest-based machine learning model CSU-MLP predicts medium-range severe weather
- Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting10. Elucidated Rolling Diffusion Model (ERDM) released, solving long-term forecasting challenges and maintaining a lead over EDM baselines in medium-to-long term forecasts
- End-to-end data-driven weather prediction5. End-to-end data-driven weather forecasting system Aardvark Weather speeds up predictions by dozens of times compared to traditional methods
AI+ Zoology-Botany
- Accurate proteome-wide missense variant effect prediction with AlphaMissense4. AI camera alert system accurately distinguishes tigers from other species
- Adaptive and maladaptive introgression in grapevine domestication8. Machine learning-based population genetics method reveals the formation mechanism of grape flavors
- A deep learning approach to photo–identification demonstrates high performance on two dozen cetacean species6. Multi-species image recognition model based on ArcFace Classification Head for face recognition
- BirdFlow: Learning seasonal bird movements from eBird data10. BirdFlow model accurately predicts flight paths of migratory birds
- Cetacean dataset6. Multi-species image recognition model based on ArcFace Classification Head for face recognition
- Contextual and combinatorial structure in sperm whale vocalisations12. Machine learning isolates the sperm whale phonetic alphabet, highly similar to human language with stronger information-carrying capacity
Others
- Adaptive AI-based virtual reality sports system for adolescents with excess body weight: a randomized controlled trial25. World's first VR exercise intervention system REVERIE reshapes youth brain-body-mind health
- AI-augmented photon-trapping spectrometer-on-a-chip on silicon platform with extended near-infrared sensitivity39. UC team proposes AI-augmented chip-scale spectrometer, achieving high spectral fidelity in an ultra-small volume
- AI for Science: Intelligent scientific facilities revolutionize fundamental research3. Intelligent scientific facilities drive paradigm shifts in research
- A neural network model to optimize the measure of spatial proximity in geographically weighted regression approach: a case study on house price in Wuhan15. Accurate prediction of Wuhan housing prices! osp-GNNWR model accurately describes complex spatial processes and geographical phenomena
- An integrated microwave neural network for broadband computation and communication29. "Microwave Brain" chip born, simultaneously processing ultra-high-speed data and wireless signals with 75% accuracy at 176 milliwatts power
- An open dataset for oracle bone script recognition and decipherment19. Containing 140,000 images! Oracle bone script dataset helps team win ACL Best Paper Award
AI+ Natural Disaster
- A deep learning system for predicting time to progression of diabetic retinopathy2. Semantic segmentation model SCDUNet++ used for landslide mapping
- Data-Driven Predictions of Peak Warming Under Rapid Decarbonization10. AI predicts global warming trends
- Deep learning for cross-region streamflow and flood forecasting at a global scale7. ED-DLSTM achieves flood prediction in unmonitored areas
- Enhanced forecasting of chlorophyll-a concentration in coastal waters through integration of Fourier analysis and Transformer networks8. ChloroFormer model provides early warning of marine algal blooms
AI+ Healthcare
- A foundation model for generalizable disease detection from retinal images6. Retinal image foundation model RETFound predicts multiple systemic diseases
- A high-performance neuroprosthesis for speech decoding and avatar control13. New AI brain-computer interface technology allows aphasic patients to "speak"
- A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis40. Medical model M³FM enables zero-shot clinical diagnosis, supporting disease reporting and classification
- An interpretable model based on graph learning for diagnosis of Parkinson’s disease with voice-related EEG4. GSP-GCNs achieve up to 90.2% accuracy in Parkinson's disease diagnosis
- Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study16. Ovarian cancer diagnostic AI fusion model MCF calculates risk using routine lab data and age
- Artificial intelligence based multispecialty mortality prediction models for septic shock in a multicenter retrospective study54. Fusion strategy AI model predicts septic shock mortality risk
AI+ Astronomy
- A Hybrid Spatiotemporal Fusion Method for High Spatial Resolution Imagery: Fusion of Gaofen-1 and Sentinel-2 over Agricultural Landscapes6. StarFusion model achieves high spatial resolution image prediction
- AION-1: Omnimodal Foundation Model for Astronomical Sciences9. The first astronomical multimodal foundation model AION-1 is born, pre-trained on 200 million astronomical targets
- An Algorithm for the Determination of Coronal Mass Ejection Kinematic Parameters Based on Machine Learning4. Machine learning-based method for CME identification and parameter extraction
- Astronomaly at Scale: Searching for Anomalies Amongst 4 Million Galaxies3. Using unsupervised machine learning algorithm Astronomaly to find previously overlooked anomalies
- Detecting rare neutral atomic-carbon absorbers with a deep neural network5. Deep learning discovers 107 cases of neutral carbon absorption lines
- Earth AI: Unlocking Geospatial Insights with Foundation Models and Cross-Modal Reasoning8. Geospatial AI Earth AI focuses on 3 core data types, improving geospatial reasoning capabilities by 64%
Showing a sample of 648 resources. View the full list on GitHub →