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Learning properties of ordered and disordered materials from multi-fidelity data
Springer Verlag | 2021| -
Lessons from the COVID-19 pandemic for advancing computational drug repurposing strategies
Springer Verlag | 2021| -
A probabilistic graphical model foundation for enabling predictive digital twins at scale
Springer Verlag | 2021| -
The impact of uncertainty on predictions of the CovidSim epidemiological code
Springer Verlag | 2021| -
Modeling the electrical double layer at solid-state electrochemical interfaces
Springer Verlag | 2021| -
Climatic signatures in the different COVID-19 pandemic waves across both hemispheres
Springer Verlag | 2021| -
Fast and effective protein model refinement using deep graph neural networks
Springer Verlag | 2021| -
The imperative of physics-based modeling and inverse theory in computational science
Springer Verlag | 2021|
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