Talks & Tutorials about ænet

Upcoming

12-2020: N. Artrith, Tutorial Workshop at MLSE 2020 Machine Learning in Materials Science, 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).

2020

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).

2019

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

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)

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).

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).