Characterizing Structure-Dependent TiS<sub>2</sub>/Water Interfaces Using Deep-Neural-Network-Assisted Molecular Dynamics-Reference-Cited by-同舟云学术

Characterizing Structure-Dependent TiS₂/Water Interfaces Using Deep-Neural-Network-Assisted Molecular Dynamics

Author:

Li Lesheng¹^ORCID,Calegari Andrade Marcos F.²³^ORCID,Car Roberto²⁴⁵⁶^ORCID,Selloni Annabella²^ORCID,Carter Emily A.¹⁶⁷⁸^ORCID

Affiliation:

1. Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, New Jersey 08544-5263, United States

2. Department of Chemistry, Princeton University, Princeton, New Jersey 08544, United States

3. Quantum Simulations Group, Lawrence Livermore National Laboratory, Livermore, California 94551, United States

4. Department of Physics, Princeton University, Princeton, New Jersey 08544, United States

5. Princeton Institute for the Science and Technology of Materials, Princeton University, Princeton, New Jersey 08544-5263, United States

6. Program in Applied and Computational Mathematics, Princeton University, Princeton, New Jersey 08544, United States

7. Andlinger Center for Energy and the Environment, Princeton University, Princeton, New Jersey 08544-5263, United States

8. Princeton Plasma Physics Laboratory, Princeton, New Jersey 08540, United States

Funder

Lawrence Livermore National Laboratory

Basic Energy Sciences

U.S. Department of Energy

Publisher

American Chemical Society (ACS)

Subject

Surfaces, Coatings and Films,Physical and Theoretical Chemistry,General Energy,Electronic, Optical and Magnetic Materials

Link

Reference59 articles.

3. National Research Council. In Desalination: A National Perspective; The National Academies Press: Washington, DC, 2008; pp 59–107.

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