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2020 – today
- 2025
[j7]Jan Janssen
, Michael Gilbert Taylor, Ping Yang, Jörg Neugebauer, Danny Perez:
Executorlib - Up-scaling Python workflows for hierarchical heterogenous high-performance computing. J. Open Source Softw. 10(109): 7782 (2025)- [j6]Yoel Zimmermann, Adib Bazgir, Alexander Al-Feghali, Mehrad Ansari, Joshua D. Bocarsly, L. Catherine Brinson, Yuan Chiang, Defne Circi, Min-Hsueh Chiu, Nathan Daelman, Matthew L. Evans, Abhijeet Sadashiv Gangan, Janine George, Hassan Harb, Ghazal Khalighinejad, Sartaaj Khan, Sascha Klawohn, Magdalena Lederbauer, Soroush Mahjoubi, Bernadette Mohr, Seyed Mohamad Moosavi, Aakash Naik, Aleyna Beste Ozhan, Dieter Plessers, Aritra Roy, Fabian Schöppach, Philippe Schwaller, Carla Terboven, Katharina Ueltzen, Yue Wu, Shang Zhu, Jan Janssen, Calvin Li, Ian T. Foster, Ben Blaiszik:
32 examples of LLM applications in materials science and chemistry: towards automation, assistants, agents, and accelerated scientific discovery. Mach. Learn. Sci. Technol. 6(2): 30701 (2025) - [d19]Jan Janssen, Michael Taylor, Ping Yang, Jörg Neugebauer, Danny Perez:
Executorlib - Up-scaling Python workflows for hierarchical heterogenous high-performance computing. Version executorlib-1.0.0. Zenodo, 2025 [all versions]
- [d18]Jan Janssen, Michael Gilbert Taylor, Ping Yang, Jörg Neugebauer, Danny Perez:
Executorlib - Up-scaling Python workflows for hierarchical heterogenous high-performance computing. Version executorlib-1.0.1. Zenodo, 2025 [all versions] - [d17]Jan Janssen, Michael Gilbert Taylor, Ping Yang, Jörg Neugebauer, Danny Perez:
Executorlib - Up-scaling Python workflows for hierarchical heterogenous high-performance computing. Version executorlib-1.1.0. Zenodo, 2025 [all versions] - [d16]Jan Janssen, Michael Gilbert Taylor, Ping Yang, Jörg Neugebauer, Danny Perez:
Executorlib - Up-scaling Python workflows for hierarchical heterogenous high-performance computing. Version executorlib-1.1.1. Zenodo, 2025 [all versions] - [d15]Jan Janssen, Michael Gilbert Taylor, Ping Yang, Jörg Neugebauer, Danny Perez:
Executorlib - Up-scaling Python workflows for hierarchical heterogenous high-performance computing. Version executorlib-1.2.0. Zenodo, 2025 [all versions] - [d14]Jan Janssen, Michael Gilbert Taylor, Ping Yang, Jörg Neugebauer, Danny Perez:
Executorlib - Up-scaling Python workflows for hierarchical heterogenous high-performance computing. Version executorlib-1.2.1. Zenodo, 2025 [all versions] - [d13]Jan Janssen, Michael Gilbert Taylor, Ping Yang, Jörg Neugebauer, Danny Perez:
Executorlib - Up-scaling Python workflows for hierarchical heterogenous high-performance computing. Version executorlib-1.3.0. Zenodo, 2025 [all versions] - [d12]Jan Janssen, Michael Gilbert Taylor, Ping Yang, Jörg Neugebauer, Danny Perez:
Executorlib - Up-scaling Python workflows for hierarchical heterogenous high-performance computing. Version executorlib-1.4.0. Zenodo, 2025 [all versions] - [d11]Jan Janssen, Michael Gilbert Taylor, Ping Yang, Jörg Neugebauer, Danny Perez:
Executorlib - Up-scaling Python workflows for hierarchical heterogenous high-performance computing. Version executorlib-1.5.1. Zenodo, 2025 [all versions] - [d10]Jan Janssen, Michael Gilbert Taylor, Ping Yang, Jörg Neugebauer, Danny Perez:
Executorlib - Up-scaling Python workflows for hierarchical heterogenous high-performance computing. Version executorlib-1.5.2. Zenodo, 2025 [all versions] - [d9]Jan Janssen, Michael Gilbert Taylor, Ping Yang, Jörg Neugebauer, Danny Perez:
Executorlib - Up-scaling Python workflows for hierarchical heterogenous high-performance computing. Version executorlib-1.5.3. Zenodo, 2025 [all versions] - [d8]Jan Janssen, Michael Gilbert Taylor, Ping Yang, Jörg Neugebauer, Danny Perez:
Executorlib - Up-scaling Python workflows for hierarchical heterogenous high-performance computing. Version executorlib-1.6.0. Zenodo, 2025 [all versions] - [d7]Jan Janssen, Michael Gilbert Taylor, Ping Yang, Jörg Neugebauer, Danny Perez:
Executorlib - Up-scaling Python workflows for hierarchical heterogenous high-performance computing. Version executorlib-1.5.0. Zenodo, 2025 [all versions] - [d6]Jan Janssen, Michael Gilbert Taylor, Ping Yang, Jörg Neugebauer, Danny Perez:
Executorlib - Up-scaling Python workflows for hierarchical heterogenous high-performance computing. Version executorlib-1.6.1. Zenodo, 2025 [all versions] - [d5]Jan Janssen, Michael Gilbert Taylor, Ping Yang, Jörg Neugebauer, Danny Perez:
Executorlib - Up-scaling Python workflows for hierarchical heterogenous high-performance computing. Version executorlib-1.6.2. Zenodo, 2025 [all versions] - [d4]Jan Janssen, Michael Gilbert Taylor, Ping Yang, Jörg Neugebauer, Danny Perez:
Executorlib - Up-scaling Python workflows for hierarchical heterogenous high-performance computing. Version executorlib-1.7.0. Zenodo, 2025 [all versions] - [i6]Yoel Zimmermann, Adib Bazgir, Alexander Al-Feghali, Mehrad Ansari, Joshua D. Bocarsly, L. Catherine Brinson, Yuan Chiang, Defne Circi, Min-Hsueh Chiu, Nathan Daelman, Matthew L. Evans, Abhijeet Sadashiv Gangan, Janine George, Hassan Harb, Ghazal Khalighinejad, Sartaaj Khan, Sascha Klawohn, Magdalena Lederbauer, Soroush Mahjoubi, Bernadette Mohr, Seyed Mohamad Moosavi, Aakash Naik, Aleyna Beste Ozhan, Dieter Plessers, Aritra Roy, Fabian Schöppach, Philippe Schwaller, Carla Terboven, Katharina Ueltzen, Yue Wu, Shang Zhu, Jan Janssen, Calvin Li, Ian T. Foster, Ben Blaiszik:
34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery. CoRR abs/2505.03049 (2025) - [i5]Jan Janssen, Janine George, Julian Geiger, Marnik Bercx, Xing Wang, Christina Ertural, Jörg Schaarschmidt, Alex M. Ganose, Giovanni Pizzi, Tilmann Hickel, Jörg Neugebauer:
A Python workflow definition for computational materials design. CoRR abs/2505.20366 (2025) - [i4]Sk Md Ahnaf Akif Alvi, Mrinalini Mulukutla, Nicolas Flores, Danial Khatamsaz, Jan Janssen, Danny Perez, Douglas L. Allaire, Vahid Attari, Raymundo Arróyave:
Accurate and Uncertainty-Aware Multi-Task Prediction of HEA Properties Using Prior-Guided Deep Gaussian Processes. CoRR abs/2506.14828 (2025) - [i3]Ziqi Wang, Hongshuo Huang, Hancheng Zhao, Changwen Xu, Shang Zhu, Jan Janssen, Venkatasubramanian Viswanathan:
DREAMS: Density Functional Theory Based Research Engine for Agentic Materials Simulation. CoRR abs/2507.14267 (2025) - [i2]Sk Md Ahnaf Akif Alvi, Brent Vela, Vahid Attari, Jan Janssen, Danny Perez, Douglas L. Allaire, Raymundo Arróyave:
Deep Gaussian Process-based Cost-Aware Batch Bayesian Optimization for Complex Materials Design Campaigns. CoRR abs/2509.14408 (2025) - 2024
- [d3]David L. Dotson, Ian M. Kenney, Oliver Beckstein, Shuai Liu, Travis Jensen, Bryce K. Allen, Dominik Wille, Victoria T. Lim, Hyungro Lee, Mohammad Soroush Barhaghi, Zhiyi Wu, Wei-Tse Hsu, Alexander Schlaich, Jérôme Hénin, Thomas T. Joseph, Irfan Alibay, Pascal T. Merz, Domenico Marson, Shujie Fan, Jan Janssen, Haoxi Li, Helmut Carter, David L. Mobley, Michael R. Shirts, Jennifer A. Clark:
alchemlyb. Version 2.4.0. Zenodo, 2024 [all versions] - [d2]David L. Dotson, Ian M. Kenney, Oliver Beckstein, Shuai Liu, Travis Jensen, Bryce K. Allen, Dominik Wille, Victoria T. Lim, Hyungro Lee, Mohammad Soroush Barhaghi, Zhiyi Wu, Wei-Tse Hsu, Alexander Schlaich, Jérôme Hénin, Thomas T. Joseph, Irfan Alibay, Pascal T. Merz, Domenico Marson, Shujie Fan, Jan Janssen, Haoxi Li, Helmut Carter, David L. Mobley, Michael R. Shirts, Jennifer A. Clark:
alchemlyb: the simple alchemistry library. Version 2.4.1. Zenodo, 2024 [all versions] - [d1]David L. Dotson, Ian M. Kenney, Oliver Beckstein, Shuai Liu, Travis Jensen, Bryce K. Allen, Dominik Wille, Victoria T. Lim, Hyungro Lee, Mohammad Soroush Barhaghi, Zhiyi Wu, Wei-Tse Hsu, Alexander Schlaich, Jérôme Hénin, Thomas T. Joseph, Irfan Alibay, Pascal T. Merz, Domenico Marson, Shujie Fan, Jan Janssen, Haoxi Li, Helmut Carter, David L. Mobley, Michael R. Shirts, Jennifer A. Clark:
alchemlyb: the simple alchemistry library. Version 2.4.1. Zenodo, 2024 [all versions] - [i1]Rafael Ferreira da Silva, Deborah Bard, Kyle Chard, Shaun De Witt, Ian T. Foster, Tom Gibbs, Carole A. Goble, William F. Godoy, Johan Gustafsson, Utz-Uwe Haus, Stephen Hudson, Shantenu Jha, Laila Los, Drew Paine, Frédéric Suter, Logan T. Ward, Sean R. Wilkinson, Marcos Amaris, Yadu N. Babuji, Jonathan Bader, Riccardo Balin, Daniel Balouek, Sarah J. Beecroft, Khalid Belhajjame, Rajat Bhattarai, Wes Brewer, Paul Brunk, Silvina Caíno-Lores, Henri Casanova, Daniela Cassol, Jared Coleman, Tainã Coleman, Iacopo Colonnelli, Anderson Andrei Da Silva, Daniel de Oliveira, Pascal Elahi, Nour Elfaramawy, Wael R. Elwasif, Brian Etz, Thomas Fahringer, Wesley Ferreira, Rosa Filgueira, Jacob Fosso-Tande, Luiz Gadelha, Andy Gallo, Daniel Garijo, Yiannis Georgiou, Philipp Gritsch, Patricia Grubel, Amal Gueroudji, Quentin Guilloteau, Carlo Hamalainen, Rolando P. Hong Enriquez, Lauren Huet, Kevin Hunter Kesling, Paula Iborra, Shiva Jahangiri, Jan Janssen, Joe Jordan, Sehrish Kanwal, Liliane N. O. Kunstmann, Fabian Lehmann, Ulf Leser, Chen Li, Peini Liu, Jakob Lüttgau, Richard Lupat, José M. Fernández, Ketan Maheshwari, Tanu Malik, Jack Marquez, Motohiko Matsuda, Doriana Medic, Somayeh Mohammadi, Alberto Mulone, John-Luke Navarro, Kin Wai Ng, Klaus Nölp, Bruno de Paula Kinoshita, Ryan Prout, Michael R. Crusoe, Sashko Ristov, Stefan A. Robila, Daniel Rosendo, Billy Rowell, Jedrzej Rybicki, Hector Sanchez, Nishant Saurabh, Sumit Kumar Saurav, Tom Scogland, Dinindu Senanayake, Woong Shin, Raül Sirvent, Tyler J. Skluzacek, Barry Sly-Delgado, Stian Soiland-Reyes, Abel Souza, Renan Souza, Domenico Talia, Nathan R. Tallent:
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows. CoRR abs/2410.14943 (2024) - 2023
- [j5]Andrew Rohskopf, C. Sievers, Nicholas Lubbers, Mary Alice Cusentnio, James Goff, Jan Janssen, Megan McCarthy, David Montes Oca de Zapiain, Svetoslav Nikolov, Khachik Sargsyan, Dionysios Sema, Ember Sikorski, Logan Williams, Aidan P. Thompson, Mitchell A. Wood:
FitSNAP: Atomistic machine learning with LAMMPS. J. Open Source Softw. 8(83): 5118 (2023)
2010 – 2019
- 2018
- [c3]Mazyar Seraj, Serge Autexier, Jan Janssen:
BEESM, a block-based educational programming tool for end users. NordiCHI 2018: 886-891
2000 – 2009
- 2002
- [j4]Jan Janssen, Danny De Vleeschauwer, Maarten Büchli, Guido H. Petit:
Assessing Voice Quality in Packet-Based Telephony. IEEE Internet Comput. 6(3): 48-57 (2002) - [j3]Jan Janssen, Danny De Vleeschauwer, Guido H. Petit, Rudi Windey, Jean-Marie Leroy:
Delay Bounds for Voice over IP Calls Transported over Satellite Access Networks. Mob. Networks Appl. 7(1): 79-89 (2002) - [c2]Maarten Büchli, Danny De Vleeschauwer, Jan Janssen, Guido H. Petit:
Policing aggregates of voice traffic with the token bucket algorithm. ICC 2002: 2547-2551 - 2001
- [c1]Maarten Büchli, Danny De Vleeschauwer, Jan Janssen, Annelies Van Moffaert, Guido H. Petit:
Resource allocation and management in DiffServ networks for IP telephony. NOSSDAV 2001: 33-39
1990 – 1999
- 1997
- [j2]Min Hu, Ken Jackson, Jan Janssen, Stefan Vandewalle:
Remarks on the optimal convolution kernel for CSOR waveform relaxation. Adv. Comput. Math. 7(1-2): 135-156 (1997) - 1996
- [j1]Jan Janssen, Stefan Vandewalle:
Multigrid Waveform Relaxation on Spatial Finite Element Meshes: The Discrete-Time Case. SIAM J. Sci. Comput. 17(1): 133-155 (1996)
Coauthor Index
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last updated on 2025-12-23 02:08 CET by the dblp team
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