2020 - present: Member of the Editorial Board for JPhys. Energy
Machine Learning for Energy Materials and
Interfaces
Editor in chief: Prof. John Irvine (University of St Andrews)
2020/12 - 2021/01: Judge for the
ENVISION High School Science Competition, Women in STEM, Winter 2020
ENVISION is a semester-long research competition that encourages female high school students interested in STEM to apply their scientific knowledge in an area of their interest.
2020: Guest Editor for JPhys. Energy for a focus issue on
Machine Learning for Energy Materials and
Interfaces
Editor in chief: Prof. John Irvine (University of St Andrews)
2019: Member of iCME2: Informatics Consortium for
Materials under Extreme Environments
Website: https://www.icme2.org/team-members
Since 2016: Main developer of the free and open-source simulation
software
aenet (Atomic Energy Network)
for machine-learning
potentials. Aenet is used by research groups in North America, Europe, and Asia.
User forum: http://ann.atomistic.net/forum/ • Source code: https://github.com/atomisticnet/aenet/
12/2020: N. Artrith, Tutorial Workshop at MLSE 2020 Machine Learning in Materials Science , in parallel to the MLSE 2020 Chemistry & Materials Science Track , Columbia University (Virtual), NYC, USA (December 13-15, 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).
10/2020: N. Artrith, Invited talk at the Catalysis in the time of coronavirus: A webinar series , DTU (Virtual: https://youtu.be/W70lS80zlKY), Copenhagen, Denmark (October 29, 2020).
07/2020: N. Artrith, Invited talk at the International Battery Seminar & Exhibit 2020 conference in Orlando, FL (Virtual: https://youtu.be/qQb4Jl3tehQ), 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: https://youtu.be/IbPvLLjReJg) 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).