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3. Discovery of Stable Surfaces with Extreme Work Functions by High‐Throughput Density Functional Theory and Machine Learning.

4. The joint automated repository for various integrated simulations (JARVIS) for data-driven materials design

5. A data-centric framework for crystal structure identification in atomistic simulations using machine learning

8. Spectrum of Exfoliable 1D van der Waals Molecular Wires and Their Electronic Properties.

9. Revealing the Spectrum of Unknown Layered Materials with Superhuman Predictive Abilities.

10. Elastic properties of bulk and low-dimensional materials using Van der Waals density functional.

11. Data Mining for New Two- and One-Dimensional Weakly Bonded Solids and Lattice-Commensurate Heterostructures.

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