Physics-informed neural networks for sparse neutron source reconstruction
We are developing a physics-informed neural network (PINN) to reconstruct neutron sources from extremely...
Compound I-based design of methane monooxygenases
Building upon previous work showing that compound I from cytochome P450 monooxygenase can oxidize methane...
Engineering carbonation catalysts for scalable carbon removal within our built environment
Concrete, produced at 40 gigatons annually, can naturally soak up CO2 to form a scalable, durable and verifiable...
Generalizable Computational Pipeline for Engineering Ultrastable Variants of Carbonic Anhydrase
AI-driven protein design is undergoing a transformation, driven by recent breakthroughs such as AlphaFold...
Designing ultrastable carbonic anhydrase with deep generative models and high-throughput assays
To minimize the impact of CO2 emissions on life on earth, we need technologies for carbon capture exceeding...
Generative Design of Programmable Metal-Binding Proteins for Bioremediation
The mining of heavy metals accounts for about 10% of global greenhouse gas emissions. Moreover, exposure...
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