Alexander Maeder

According to our database, Alexander Maeder authored at least 7 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Acceleration of Atomistic NEGF: Algorithms, Parallelization, and Machine Learning.

Mathieu Luisier, Nicolas Vetsch, Alexander Maeder, Vincent Maillou, Anders Winka, Leonard Deuschle, Chen Hao Xia, Manasa Kaniselvan, Marko Mladenovic, Jiang Cao, Alexandros Nikolaos Ziogas

CoRR, February, 2026

2025

Ab-initio Quantum Transport with the GW Approximation, 42,240 Atoms, and Sustained Exascale Performance.

Nicolas Vetsch, Alexander Maeder, Vincent Maillou, Anders Winka, Jiang Cao, Grzegorz Kwasniewski, Leonard Deuschle, Torsten Hoefler, Alexandros Nikolaos Ziogas, Mathieu Luisier

CoRR, August, 2025

Distributed Equivariant Graph Neural Networks for Large-Scale Electronic Structure Prediction.

Manasa Kaniselvan, Alexander Maeder, Chen Hao Xia, Alexandros Nikolaos Ziogas, Mathieu Luisier

CoRR, July, 2025

Ab-initio Quantum Transport with the GW Approximation, 42, 240 Atoms, and Sustained Exascale Performance.

Nicolas Vetsch, Alexander Maeder, Vincent Maillou, Anders Winka, Jiang Cao, Grzegorz Kwasniewski, Leonard Deuschle, Torsten Hoefler, Alexandros Nikolaos Ziogas, Mathieu Luisier

Proceedings of the International Conference for High Performance Computing, 2025

Learning the Electronic Hamiltonian of Large Atomic Structures.

Chen Hao Xia, Manasa Kaniselvan, Alexandros Nikolaos Ziogas, Marko Mladenovic, Rayen Mahjoub, Alexander Maeder, Mathieu Luisier

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Accelerated Atomistic Kinetic Monte Carlo Simulations of Resistive Memory Arrays.

Manasa Kaniselvan, Alexander Maeder, Marko Mladenovic, Mathieu Luisier, Alexandros Nikolaos Ziogas

Proceedings of the International Conference for High Performance Computing, 2024

Towards Exascale Simulations of Nanoelectronic Devices in the GW Approximation.

Leonard Deuschle, Alexander Maeder, Vincent Maillou, Nicolas Vetsch, Anders Winka, Jiang Cao, Alexandros Nikolaos Ziogas, Mathieu Luisier

Proceedings of the International Conference for High Performance Computing, 2024