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Found 6 papers, 4 papers with code
Prediction of Diblock Copolymer Morphology via Machine Learning
A machine learning approach is presented to accelerate the computation of block polymer morphology evolution for large domains over long timescales.
APACE: AlphaFold2 and advanced computing as a service for accelerated discovery in biophysics
The prediction of protein 3D structure from amino acid sequence is a computational grand challenge in biophysics, and plays a key role in robust protein structure prediction algorithms, from drug discovery to genome interpretation.
A generative artificial intelligence framework based on a molecular diffusion model for the design of metal-organic frameworks for carbon capture
Metal-organic frameworks (MOFs) exhibit great promise for CO2 capture.
End-to-end AI framework for interpretable prediction of molecular and crystal properties
We introduce an end-to-end computational framework that allows for hyperparameter optimization using the DeepHyper library, accelerated model training, and interpretable AI inference.
DeSmoke-LAP: improved unpaired image-to-image translation for desmoking in laparoscopic surgery
Robotic-assisted laparoscopic surgery has become the trend in medicine thanks to its convenience and lower risk of infection against traditional open surgery.
Dense Keypoints via Multiview Supervision
(2) Geometric consistency: every point in the continuous correspondence fields must satisfy the multiview consistency collectively.
