Professional and Synergistic Activities

Funding and Awards

  • 2020–2023: “Tackling Solid-State Electrochemical Interfaces from Structure to Function utilizing HPC and ML Tools”; Department of Energy, Office of Energy Efficiency and Renewable Energy
  • 2019: Nong has been named Scialog Fellow for a multi-year interdisciplinary initiative on Advanced Energy Storage .
  • 2013–2015: Schlumberger Foundation Faculty for the Future fellowship supporting women in science

Selected Invited Talks

Upcoming

10/2020: N. Artrith, Invited talk at the Catalysis in the time of coronavirus: A webinar series , DTU (Virtual), Copenhagen, Denmark (October 29, 2020).

03/2021: N. Artrith, Invited talk at the MRS Spring Meeting in Seattle, WA, USA (April 18–23, 2021).

11/2021: N. Artrith, Invited talk at the The 9th International Symposium on Surface Science: Toward Sustainable Development 2020 on Machine Learning for Molecules and Materials in Takamatsu, Japan (November 28 - December 2, 2021).


07/2020: N. Artrith, Invited talk at the International Battery Seminar & Exhibit 2020 conference in Orlando, FL (Virtual), USA (July 27-30, 2020).

06/2020: N. Artrith, Invited talk at the Workshop on Modern Approaches to Coupling Scales In Materials Simulations , virtual at TU Munich, Germany (June 29 – July 1, 2020).

01/2020: N. Artrith, Invited talk at the EMA 2020 Electronic Materials and Applications 2020 Conference , Orlando, FL, USA (January 22-24, 2020).

07/2019: N. Artrith, Invited talk at the Nano Korea 2019 conference at KINTEX, Ilsan, Korea (July 2-5, 2019).

05/2019: N. Artrith, Invited introductory talk (80 min.) at the Young Researcher’s Workshop on Machine Learning for Materials Science (CECAM-FI) at Aalto University, Finland (May 6-10, 2019). Workshop Materials: https://ml4ms2019.aalto.fi/workshop-materials/

03/2019: N. Artrith, “Simulating complex inorganic materials for energy applications with machine-learning potentials”, Invited talk at the 257th ACS Meeting in Orlando, FL (March 31, 2019, 8:45-9:15am, Room W309B)

11/2018: N. Artrith, “Development of efficient and accurate machine-learning potentials for the simulation of complex materials “, Invited talk at the Game of Materials meeting in Dubrovnik, Croatia (November 2018).

03/2018: N. Artrith, “Development of efficient and accurate machine-learning potentials for the simulation of complex catalyst materials”, Keynote lecture at the 255th ACS Meeting in New Orleans, LA (Spring 2018).