PUBLICATIONS

30. Accelerated chemical science with AI. Digital Discovery, 2024, 3, 23.

DOI URL

29. Vanadium Selenide Nanobelt Electrocatalyst for Dopamine-Selective Detection. ACS Applied Nano Materials, 2023, 18, 16242.

DOI URL

28. Dual-atom-site Sn-Cu/C3N4 photocatalyst selectively produces formaldehyde from CO2 reduction. Advanced Functional Materials, 2023, 33, 2212453.

DOI URL

27. Element-Wise Formulation of Inorganic Retrosynthesis. AI for Accelerated Materials Design NeurIPS 2022.

URL

26. Activity Trends of Methane Oxidation Catalysts under Emission Conditions. ACS Catalysis, 2022, 12, 10255.

DOI

25. Perovskite Synthesizability using Graph Neural Networks. npj Computational Materials, 2022, 8, 71.

DOI

24. Automated Exploitation of the Big Configuration Space of Large Adsorbates on Transition Metals Reveals Chemistry Feasibility. Nature Communications, 2022, 13, 2087.

DOI

23. Bimetallic Gold–Silver Nanostructures Drive Low Overpotentials for Electrochemical Carbon Dioxide Reduction. ACS Applied Materials & Interfaces, 2022, 14, 6604-6614.

DOI

22. Uncertainty Quantification and Error Propagation in the Enthalpy and Entropy of Surface Reactions Arising from a Single DFT Functional. The Journal of Physical Chemistry C, 2021, 125, 18187-18196.

DOI

21. Understanding Potential-dependent Competition Between Electrocatalytic Dinitrogen and Proton Reduction Reactions. Nature Communications, 2021, 12, 4353.

DOI

20. Predicting Potentially Hazardous Chemical Reactions Using Explainable Neural Network. Chemical Science, 2021, 12, 11028-11037.

DOI

19. Autobifunctional Mechanism of Jagged Pt Nanowires for Hydrogen Evolution Kinetics via End-to-End Simulation. Journal of the American Chemical Society, 2021, 143, 5355-5363.

DOI

18. Highly Stable Two-Dimensional Bismuth Metal-organic Frameworks for Efficient Electrochemical Reduction of CO2 . Applied Catalysis B: Environmental, 2020, 277, 119241.

DOI

17. Structure-Based Synthesizability Prediction of Crystals Using Partially Supervised Learning. Journal of the American Chemical Society, 2020, 142, 18836-18843.

DOI

16. Generative Adversarial Networks for Crystal Structure Prediction . ACS Central Science, 2020, 6, 1412-1420.

DOI

15. Machine-enabled inverse design of inorganic solid materials: promises and challenges. Chemical Science, 2020, 11, 4871-4881.

DOI

14. Uncertainty-Quantified Hybrid Machine Learning/Density Functional Theory High Throughput Screening Method for Crystals. Journal of Chemical Information and Modeling, 2020, 60, 1996-2003.

DOI

13. Progress in Computational and Machine-Learning Methods for Heterogeneous Small-Molecule Activation. Advanced Materials, 2020, 32, 1907865.

DOI

12. Practical Deep-Learning Representation for Fast Heterogeneous Catalyst Screening. The Journal of Physical Chemistry Letters, 2020, 11, 3185-3191.

DOI

11. Reduced graphene oxides with engineered defects enable efficient electrochemical reduction of dinitrogen to ammonia in wide pH range. Nano Energy, 2020, 68, 104323.

DOI

10. Unveiling New Stable Manganese based Photoanode Materials via Theoretical High-throughput Screening and Experiments . Chemical Communication, 2019, 65, 13418-13421.

DOI

9. Lattice Convolutional Neural Network Modeling of Adsorbate Coverage-Effects. The Journal of Physical Chemistry C, 2019, 123, 18951-18959.

DOI

8. Machine learning for renewable energy materials. Journal of Materials Chemistry A, 2019, 7, 17096-17117.

DOI

7. Microkinetic modeling of aqueous phase biomass conversion: Application to ethylene glycol reforming. Chemical Engineering Science, 2019, 197, 415-418.

DOI

6. Thermochemistry of Gas-phase and Surface Species via LASSO-assisted Subgraph Selection. Reaction Chemistry & Engineering, 2018, 3, 454-466.

DOI

5. Group Additivity for Aqueous Phase Thermochemical Properties of Alcohols on Pt(111). The Journal of Physical Chemistry C, 2017, 121, 21510-21519.

DOI

4. Group Additivity for Thermochemical Property Estimation of Lignin Monomers on Pt(111). The Journal of Physical Chemistry C, 2016, 120, 19234-19241.

DOI

3. Mechanism of Dehydration of Phenols on Noble Metals via First-Principles Microkinetic Modeling. ACS Catalysis, 2016, 6, 3047-3055.

DOI

2. Guaiacol Hydrodeoxygenation Mechanism on Pt(111): Insights from Density Functional Theory and Linear Free Energy Relations. ChemSusChem, 2015, 8, 315-322.

DOI

1. Tailoring electrode hydrophobicity to improve anode performance in alkaline media. Journal of Power Sources, 2013, 242, 581-588.

DOI