Janosh Riebesell

According to our database, Janosh Riebesell authored at least 6 papers between 2023 and 2024.

Collaborative distances:

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

2024

Jobflow: Computational Workflows Made Simple.

Andrew S. Rosen, Max C. Gallant, Janine George, Janosh Riebesell, Hrushikesh Sahasrabuddhe, Jimmy-Xuan Shen, Mingjian Wen, Matthew L. Evans, Guido Petretto, David Waroquiers, Gian-Marco Rignanese, Kristin A. Persson, Anubhav Jain, Alex M. Ganose

J. Open Source Softw., January, 2024

Overcoming systematic softening in universal machine learning interatomic potentials by fine-tuning.

Bowen Deng, Yunyeong Choi, Peichen Zhong, Janosh Riebesell, Shashwat Anand, Zhuohan Li, KyuJung Jun, Kristin A. Persson, Gerbrand Ceder

CoRR, 2024

LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation.

Yuan Chiang, Chia-Hong Chou, Janosh Riebesell

CoRR, 2024

Pushing the Pareto front of band gap and permittivity: ML-guided search for dielectric materials.

Janosh Riebesell, T. Wesley Surta, Rhys E. A. Goodall, Michael Gaultois, Alpha A. Lee

CoRR, 2024

2023

CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling.

Bowen Deng, Peichen Zhong, KyuJung Jun, Janosh Riebesell, Kevin Han, Christopher J. Bartel, Gerbrand Ceder

Nat. Mac. Intell., September, 2023

Matbench Discovery - An evaluation framework for machine learning crystal stability prediction.

Janosh Riebesell, Rhys E. A. Goodall, Anubhav Jain, Philipp Benner, Kristin A. Persson, Alpha A. Lee

CoRR, 2023