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Nature Computational Science
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A @natureportfolio.nature.com journal on mathematical models and computational methods/tools that help advance science in multiple disciplines. https://www.nature.com/natcomputsci
An accompanying News & Views by Zhaohui Dong and Luqi Yuan is now available for this paper! www.nature.com/articles/s43... ⚛️

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Efficient methods for facilitating topological photonics and acoustics computation - Nature Computational Science
A recent study proposes efficient numerical algorithms to reduce the required computational resources for solving the edge states in large-scale photonic or acoustic structures.
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November 21, 2025 at 3:11 PM
We also highlight a @natmater.nature.com study by Kota Oishi and colleagues on a framework for identifying zeolite intergrowths and drawing boundaries between feasible and unfeasible systems. www.nature.com/articles/s43...
The feasibility of zeolite intergrowths - Nature Computational Science
Nature Computational Science - The feasibility of zeolite intergrowths
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November 20, 2025 at 6:30 PM
We highlight a @nature.com study by Chi-Fang Chen and colleagues on a quantum algorithm for thermal simulation featuring balance and locality, while also serving as a conceptual model for thermalization in open quantum systems. www.nature.com/articles/s43... ⚛️
Thermal physics meets quantum computing - Nature Computational Science
Nature Computational Science - Thermal physics meets quantum computing
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November 20, 2025 at 6:30 PM
An accompanying News & Views by Yubing Qian and Ji Chen is also available for this paper! www.nature.com/articles/s43... ⚛️

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Down to one network for computing crystalline materials - Nature Computational Science
A recent study proposes using a single neural network to model and compute a wide range of solid-state materials, demonstrating exceptional transferability and substantially reduced computational cost...
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October 22, 2025 at 2:24 PM
An accompanying News & Views by Han Chen and Christina Theodoris is also available for this paper! www.nature.com/articles/s43... #chemsky

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Interpolating perturbations across contexts - Nature Computational Science
The Large Perturbation Model (LPM) is a computational deep learning framework that predicts gene expression responses to chemical and genetic perturbations across diverse contexts. By modeling perturb...
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October 15, 2025 at 4:03 PM