Ji Chen
Assistant Professor

Gender:Male

Alma Mater:Peking University

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Research

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Research



Our research mainly aims at understanding important phenomena and physics of condensed matter and materials using cutting-edge computational techniques. We are also interested in developing new computational methods and applying them to study challenging systems. Density Functional Theory and Quantum Monte Carlo methods are our main focus for electronic structure calculations. Atomistic modelling methods include molecular dynamics, path integral, and structure search, etc. We are also interested in applications of Machine Learning algorithms in simulations.


More information on our research can be found below, and see publication list for more updated information.

1. Development and application of FCIQMC

2. Development and application of neural network based QMC methods

3. Water solution and water solid interfaces

4. Dense hydrogen and hydrogen rich materials

5. 1D and 2D materials

6. Nuclear quantum effects


Highlights



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Development and application of FCIQMC 


FCIQMC is a state-of-the-art quantum chemical electronic structure methods, it is absolutely accurate in a given basis. FCIQMC is a powerful tool to provide benchmark data and important insight to 'strongly correlated' systems, like notably transition metal oxides, cuprates, bond breaking systems, etc..


• J. Chen et al. J. Chem. Phys. 153, 204704 (2021)

• T. Jiang et al. J. Chem. Phys. 154, 164302 (2021)

• T. Jiang et al. arXiv 2204.13356 (2022)


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Neural network based quantum Monte Carlo


Neural network based quantum Monte Carlo provides new opportunities for solving electronic structure of molecules and materials. A fast developing field and a lot of exciting progress.


• Interatomic Force in FermiNet

• FermiNet+diffusion Monte Carlo

• Neural Network for solids

• FermiNet+effective core potential



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Nuclear quantum effects


The quantum nature of hydrogen has been highlighted in a few different systems using ab initio path integral molecular dynamics and instanton methods, including condensed hydrogen, hydrogen bonds and adsorbed hydrogen and water.


• Fang et al. Nature Communications 11, 1689 (2020)

• Fang et al. Int. Rev. Phys. Chem. 38, 35 (2019)

• Feng et al. J. Chem. Phys. 148, 102329 (2018)

• Fang et al. Phys. Rev. Lett. 119, 126001 (2017)

• Fang et al. J. Phys. Chem. Lett. 7, 2125 (2016)

• Guo et al. Science 352, 321 (2016)

• Chen et al. Nature Communications 4, 2064 (2013)


Highlights


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Water solution and water solid interface

Quote Prof. Enge Wang "Water: soft in nature, hard in science". Water, include pure water, solutions, liquid solid interfaces, are always intriguing because of its complex nature in both electronic structure and atomic dynamics. Water itself is simply a interdisciplinary area, including physics, chemistry, material science, biology, energy, environment science. 


• Y. Tian et al. Science, 377, 315 (2022)

• J. Guo et al. Phys. Rev. Lett. 125, 106001 (2020)

• K. Liu et al. Phys. Rev. Research 3, L042014 (2021)

• J. Chen et al. Phys. Rev. B 101, 115402 (2020)

• Chi M. Yim et al. J. Phys. Chem. Lett. 9, 4865 (2018)

• Peng et al. Nature 557, 701 (2018)

• Guo et al. Science 352, 321 (2016)

• Meng et al. Nature Physics 11, 235 (2015)

• Chen et al. Nature Communications 5, 4056 (2014)

Highlights


Highlights

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New 1D Pnictogen Allotropes and Metallic chains


In collaboration with Prof. Christoph Salzmann’s group at UCL Chemistry, we have identified a colorful collection of new 1D Pnictogen allotropes confined in carbon nanotubes, including the metallic pnictogen chains and new semiconducting pnictogen structures such as “pink” phosphorus.


• Inorganic Chemistry, 10.1021/acs.inorgchem.9b02190 (2019)

• Angew. Chemie.: Int. Ed. 57, 11649 (2018)

• Inorganic Chemistry, 10.1021/acs.inorgchem.9b02190 (2019)


Highlights


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2D ice structures and phase diagram revealed with DFT and QMC


We have predicted 2D ice structures and its phase diagram using ab initio random structure search, density functional theory and quantum Monte Carlo calculations.


• Ma et al. Nature 577, 60 (2020)

• Ji Chen et al. Phys. Rev. B 95, 094121 (2017)

• Ji Chen et al. Phys. Rev. B 94, 220102(R) (2017)

• Ji Chen et al. Phys. Rev. Lett. 116, 025501 (2016)


Highlights






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