Capturing Formulation Design of Battery Electrolytes with Chemical Large Language Model
- 2023
- NeurIPS 2023
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1760 results for Impact Science
Machine learning derived sub-seasonal to seasonal extremes
- 2023
- NeurIPS 2023
Symbolic Learning for Material Discovery
- Daniel Cunnington
- Flaviu Cipcigan
- et al.
- 2023
- NeurIPS 2023
Coarse-graining via reparametrization avoids force matching and back-mapping
- Nima Dehmamy
- Csaba Both
- et al.
- 2023
- NeurIPS 2023
Advancing Cloud Sustainability: A Versatile Framework for Container Power Model Training
- 2023
- MASCOTS 2023
MaxCorrMGNN: A Multi-Graph Neural Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction
- Niharika DSouza
- Hongzhi Wang
- et al.
- 2023
- ICML 2023
Quantum Resource Estimation for Protein Conformation Prediction
- Bryan Raubenolt
- Hakan Doga
- et al.
- 2023
- ISCA 2023
Attention-based Domain Adaptation Forecasting of Streamflow in Data Sparse Regions
- Roland Oruche
- Fearghal O'Donncha
- 2023
- ICLR 2023
Probing optimisation in physics-informed neural networks
- Nayara Fonseca
- Veronica Guidetti
- et al.
- 2023
- ICLR 2023
On the impact of small-data diversity on forecasts: evidence from meteorologically-driven electricity demand in Mediterranean zones.
- Reginald Eugene Bryant
- Julian Kuehnert
- 2023
- ICLR 2023