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Electric field induced formation of a two-dimensional adatom gas on cryogenic Li surfaces
Shyam Katnagallu
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Samuel Henrique Mattoso
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Huan Zhao
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Se-Ho Kim
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Jing Yang
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Baptiste Gault
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Christoph Freysoldt
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Jörg Neugebauer
Phys. Rev. B 112, 115426
September 19, 2025
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A high-throughput ab initio study of elemental segregation and cohesion at ferritic-iron grain boundaries
Han Lin Mai
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Xiang-Yuan Cui
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Tilmann Hickel
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Jörg Neugebauer
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Simon P. Ringer
Acta Materialia, Volume 297, 121288
September 15, 2025
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32 examples of LLM applications in materials science and chemistry: towards automation, assistants, agents, and accelerated scientific discovery
Yoel Zimmermann
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Adib Bazgir
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Alexander Al-Feghali
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Mehrad Ansari
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Joshua Bocarsly
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L. Catherine Brinson
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Yuan Chiang
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Defne Circi
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Min-Hsueh Chiu
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Nathan Daelman
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Matthew L. Evans
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Abhijeet S. Gangan
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Janine George
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Hassan Harb
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Ghazal Khalighinejad
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Sartaaj Takrim Khan
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Sascha Klawohn
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Magdalena Lederbauer
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Soroush Mahjoubi
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Bernadette Mohr
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Seyed Mohamad Moosavi
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Aakash Naik
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Aleyna Beste Ozhan
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Dieter Plessers
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Aritra Roy
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Fabian Schöppach
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Philippe Schwaller
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Carla Terboven
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Katharina Ueltzen
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Yue Wu
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Shang Zhu
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Jan Janssen
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Calvin Li
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Ian Foster
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Ben Blaiszik
Machine Learning Science and technology
August 29, 2025
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Faceting transition in aluminum as a grain boundary phase transition
Yoonji Choi
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Tobias Brink
Phys. Rev. Materials 9, 083607
August 25, 2025
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Information-entropy-driven generation of material-agnostic datasets for machine-learning interatomic potentials
Aparna P. A. Subramanyam
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Danny Perez
npj Computational Materials, Volume 11, Number 218
July 07, 2025
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Magnetism in iron alloys: methodological advances for thermodynamics, defects, and kinetics
Tilmann Hickel
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Sergiy Divinski
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Sergei Starikov
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Frédéric Soisson
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Christian Mény
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Omkar Hegde
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Marius Gerlitz
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Gladice Magnifouet
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Anton Schneider
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Cyrille Barreteau
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Isabelle Mirebeau
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Van Truong Tran
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Georg Daniel Förster
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Alexis Front
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Aleksei Egorov
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Gerhard Wilde
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Hakim Amara
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Thomas Hammerschmidt
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Matous Mrovec
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Véronique Pierron-Bohnes
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Ralf Drautz
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Chu-Chun Fu
International Journal of Materials Research, Volume 116, Issue 6
June 16, 2025
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Automated generation of structure datasets for machine learning potentials and alloys
Marvin Poul
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Liam Huber
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Jörg Neugebauer
npj Computational Materials, Volume 11, Number 174
June 07, 2025
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Data-Driven Kinetic Reaction Networks for Separation Chemistry
Jiyoung Lee
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Logan J. Augustine
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Graeme Henkelman
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Ping Yang
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Danny Perez
J. Chem. Theory Comput. 2025, 21, 10, 5182–5193
May 13, 2025
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Hierarchical Gaussian process-based Bayesian optimization for materials discovery in high entropy alloy spaces
Sk Md Ahnaf Akif Alvi
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Jan Janssen
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Danial Khatamsaz
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Danny Perez
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Douglas Allaire
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Raymundo Arróyave
Acta Materialia, Volume 289, 120908
May 01, 2025
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When more data hurts: Optimizing data coverage while mitigating diversity-induced underfitting in an ultrafast machine-learned potential
Jason B. Gibson
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Tesia D. Janicki
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Ajinkya C. Hire
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Chris Bishop
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J. Matthew D. Lane
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Richard G. Hennig
Phys. Rev. Materials 9, 043802
April 22, 2025
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StahlDigital: Ontology-Based Workflows for the Steel Industry
Franz Roters
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Ahmed Aslam
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Yang Bai
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Matthias Büschelberger
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Kirill Bulert
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Alexander Butz
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Tilmann Hickel
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Tushar Jogi
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Silke Klitschke
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Michael Martin
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Lars-Peter Meyer
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Lukas Morand
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Yoav Nahshon
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Norman Radtke
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Ujjal Saikia
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Andreas Trondl
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Alexander Wessel
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Paul Zierep
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Dirk Helm
Advanced Engineering Materials, Volume 27, Issue 8
February 26, 2025
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An Ontology-Augmented Digital Twin for Fiber-Reinforced Polymer Structures at the Example of Wind Turbine Rotor Blades
Marc Luger
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Alexander Seidel
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Ursula Pähler
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Sebastian Schröck
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Peter Hofmann
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Sebastian Kölbl
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Klaus Drechsler
Advanced Engineering Materials, Volume 27, Issue 8
January 15, 2025
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Advancing Digital Transformation in Material Science: The Role of Workflows Within the MaterialDigital Initiative
Simon Bekemeier
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Celso Ricardo Caldeira Rêgo
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Han Lin Mai
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Ujjal Saikia
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Osamu Waseda
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Markus Apel
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Felix Arendt
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Alexander Aschemann
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Bernd Bayerlein
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Robert Courant
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Gordian Dziwis
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Florian Fuchs
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Ulrich Giese
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Kurt Junghanns
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Mohamed Kamal
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Lukas Koschmieder
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Sebastian Leineweber
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Marc Luger
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Marco Lukas
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Jürgen Maas
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Jana Mertens
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Björn Mieller
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Ludger Overmeyer
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Norbert Pirch
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Jan Reimann
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Sebastian Schröck
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Philipp Schulze
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Jörg Schuster
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Alexander Seidel
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Oleg Shchyglo
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Marek Sierka
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Frank Silze
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Simon Stier
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Marvin Tegeler
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Jörg F. Unger
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Matthias Weber
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Tilmann Hickel
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Jörg Schaarschmidt
Advanced Engineering Materials, Volume 27, Issue 8
January 13, 2025
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Computational screening of transition metal-nitrogen-carbon materials as electrocatalysts for CO2 reduction
Megan C. Davis
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Wilton J.M. Kort-Kamp
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Edward F. Holby
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Piotr Zelenay
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Ivana Matanovic
Electrochimica Acta, Volume 510, 145357
January 10, 2025
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Accelerating ab initio melting property calculations with machine learning: application to the high entropy alloy TaVCrW
Li-Fang Zhu
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Fritz Körmann
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Qing Chen
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Malin Selleby
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Jörg Neugebauer
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Blazej Grabowski
npj Computational Materials, Volume 10, Number 274
November 29, 2024
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Automated optimization and uncertainty quantification of convergence parameters in plane wave density functional theory calculations
Jan Janssen
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Edgar Makarov
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Tilmann Hickel
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Alexander V. Shapeev
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Jörg Neugebauer
npj Computational Materials, Volume 10, Number 263
November 19, 2024
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On the Importance of Configuration Search to the Predictivity of Lanthanide Selectivity
Thomas J. Summers
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Michael G. Taylor
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Logan J. Augustine
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Jan Janssen
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Danny Perez
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Enrique R. Batista
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Ping Yang
JACS Au, 5, 2, 631–641
November 18, 2024
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From electrons to phase diagrams with machine learning potentials using pyiron based automated workflows
Sarath Menon
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Yury Lysogorskiy
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Alexander L. M. Knoll
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Niklas Leimeroth
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Marvin Poul
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Minaam Qamar
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Jan Janssen
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Matous Mrovec
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Jochen Rohrer
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Karsten Albe
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Jörg Behler
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Ralf Drautz
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Jörg Neugebauer
npj Computational Materials, Volume 10, Number 261
November 17, 2024
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Efficient Parametrization of Transferable Atomic Cluster Expansion for Water
Eslam Ibrahim
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Yury Lysogorskiy
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Ralf Drautz
Journal of Chemical Theory and Computation, Volume 20, Issue 24
October 21, 2024
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mamonca: magnetic Monte Carlo code
Osamu Waseda
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Tilmann Hickel
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Jörg Neugebauer
Journal of Open Source Software, 9(100), 6194
August 15, 2024
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Comparative analysis of surface phase diagrams in aqueous environment: Implicit vs explicit solvation models
Jing Yang
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Mira Todorova
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Jörg Neugebauer
J. Chem. Phys. 160, 164715
April 25, 2024
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General purpose potential for glassy and crystalline phases of Cu-Zr alloys based on the ACE formalism
Niklas Leimeroth
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Jochen Rohrer
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Karsten Albe
Phys. Rev. Materials 8, 043602
April 16, 2024
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Melting properties of the refractory metals V and W and the binary VW alloy fully from first principles
Li-Fang Zhu
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Prashanth Srinivasan
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Yilun Gong
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Tilmann Hickel
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Blazej Grabowski
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Fritz Körmann
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Jörg Neugebauer
Phys. Rev. B 109, 094110
March 15, 2024
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Diffusion-controlled growth and microstructural evolution between Pt and Pd containing B2-NiAl bondcoats and Ni-based single crystal superalloy
Neelamegan Esakkiraja
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Aditya Vishwakarma
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Surendra K Makineni
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Vikram Jayaram
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Tilmann Hickel
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Sergiy V. Divinski
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Aloke Paul
Acta Materialia, Volume 266, 119687
March 01, 2024
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Sampling-free computation of finite temperature material properties in isochoric and isobaric ensembles using the mean-field anharmonic bond model
Raynol Dsouza
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Marvin Poul
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Liam Huber
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Thomas D. Swinburne
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Jörg Neugebauer
Phys. Rev. B 109, 064108
February 20, 2024
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Laterally Resolved Free Energy Profiles and Vibrational Spectra of Chemisorbed H Atoms on Pt(111)
Sudarsan Surendralal
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Mira Todorova
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Jörg Neugebauer
J. Chem. Theory Comput. 20, 5, 2192–2201
February 07, 2024
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Parametrization protocol and refinement strategies for accurate and transferable analytic bond-order potentials: Application to Re
Aparna P. A. Subramanyam
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Jan Jenke
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Alvin N. Ladines
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Ralf Drautz
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Thomas Hammerschmidt
Phys. Rev. Materials 8, 013803
January 17, 2024
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Atomic cluster expansion for a general-purpose interatomic potential of magnesium
Eslam Ibrahim
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Yury Lysogorskiy
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Matous Mrovec
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Ralf Drautz
Phys. Rev. Materials 7, 113801
November 17, 2023
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Modeling solute-grain boundary interactions in a bcc Ti-Mo alloy using density functional theory
Hariharan Umashankar
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Daniel Scheiber
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Vsevolod I. Razumovskiy
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Matthias Militzer
Computational Materials Science, Volume 229, 112393
October 05, 2023
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Architector for high-throughput cross-periodic table 3D complex building
Michael G. Taylor
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Daniel J. Burrill
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Jan Janssen
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Enrique R. Batista
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Danny Perez
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Ping Yang
Nature Communications, Volume 14, Number 2786
October 04, 2023
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MLIP-3: Active learning on atomic environments with moment tensor potentials
Evgeny Podryabinkin
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Kamil Garifullin
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Alexander Shapeev
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Ivan Novikov
J. Chem. Phys. 159, 084112
August 28, 2023
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Segregation to 𝛼2/𝛾 interfaces in TiAl alloys: A multiscale QM/MM study
D. Gehringer
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L. Huber
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J. Neugebauer
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D. Holec
Phys. Rev. Materials 7, 063604
June 23, 2023
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FitSNAP: Atomistic machine learning with LAMMPS
A. Rohskopf
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C. Sievers
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N. Lubbers
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M.a. Cusentino
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J. Goff
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J. Janssen
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M. McCarthy
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D. Montes Oca de Zapiain
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S. Nikolov
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K. Sargsyan
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D. Sema
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E. Sikorski
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L. Williams
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A.p. Thompson
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M.a. Wood
Journal of Open Source Software, 8(84), 5118
April 06, 2023
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Systematic atomic structure datasets for machine learning potentials: Application to defects in magnesium
Marvin Poul
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Liam Huber
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Erik Bitzek
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Jörg Neugebauer
Phys. Rev. B 107, 104103
March 13, 2023
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Ab initio vacancy formation energies and kinetics at metal surfaces under high electric field
Shyam Katnagallu
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Christoph Freysoldt
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Baptiste Gault
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Jörg Neugebauer
Phys. Rev. B 107, L041406
January 20, 2023
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Short range order in disordered spinels and the impact on cation vacancy transport
Peter Hatton
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Blas Pedro Uberuaga
J. Mater. Chem. A, 11, 3471-3480
January 11, 2023
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Accurately Determining the Phase Transition Temperature of CsPbI3 via Random-Phase Approximation Calculations and Phase-Transferable Machine Learning Potentials
Tom Braeckevelt
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Ruben Goeminne
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Sander Vandenhaute
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Sander Borgmans
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Toon Verstraelen
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Julian A. Steele
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Maarten B. J. Roeffaers
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Johan Hofkens
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Sven M. J. Rogge
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Veronique Van Speybroeck
Chem. Mater. 2022, 34, 19, 8561–8576
September 22, 2022
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Approximating the impact of nuclear quantum effects on thermodynamic properties of crystalline solids by temperature remapping
Raynol Dsouza
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Liam Huber
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Blazej Grabowski
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Jörg Neugebauer
Phys. Rev. B 105, 184111
May 26, 2022
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Ab initio calculation of the magnetic Gibbs free energy of materials using magnetically constrained supercells
Eduardo Mendive-Tapia
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Jörg Neugebauer
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Tilmann Hickel
Phys. Rev. B 105, 064425
February 17, 2022
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Classification for transmission electron microscope images from different amorphous states using persistent homology
Fumihiko Uesugi
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Masashi Ishii
Microscopy, Volume 71, Issue 3, Pages 161–168
February 16, 2022
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Impact of magnetic transition on Mn diffusion in 𝛼-iron: Correlative state-of-the-art theoretical and experimental study
Omkar Hegde
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Vladislav Kulitckii
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Anton Schneider
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Frédéric Soisson
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Tilmann Hickel
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Jörg Neugebauer
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Gerhard Wilde
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Sergiy Divinski
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Chu-Chun Fu
Phys. Rev. B 104, 184107
November 10, 2021
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Electrons Meet Alloy Development: A γ-TiAl-Based Alloy Showcase
David Holec
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Neda Abdoshahi
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Dominik Gehringer
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Lukas Hatzenbichler
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Amin Sakic
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Helmut Clemens
Adcanced Engineering Materials, Volume 24, Issue 1, 2100977
September 18, 2021
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Performant implementation of the atomic cluster expansion (PACE) and application to copper and silicon
Yury Lysogorskiy
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Cas van der Oord
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Anton Bochkarev
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Sarath Menon
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Matteo Rinaldi
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Thomas Hammerschmidt
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Matous Mrovec
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Aidan Thompson
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Gábor Csányi
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Christoph Ortner
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Ralf Drautz
npj Computational Materials Volume 7, Number 97
June 28, 2021
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Impact of Water Coadsorption on the Electrode Potential of H-Pt(1 1 1)-Liquid Water Interfaces
Sudarsan Surendralal
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Mira Todorova
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Jörg Neugebauer
Phys. Rev. Lett. 126, 166802
April 21, 2021
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Ab initio study of the structural response to magnetic disorder and van der Waals interactions in FeSe
Felix Lochner
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Ilya M. Eremin
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Tilmann Hickel
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Jörg Neugebauer
Phys. Rev. B 103, 054506
February 15, 2021
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A fully automated approach to calculate the melting temperature of elemental crystals
Li-Fang Zhu
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Jan Janssen
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Shoji Ishibashi
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Fritz Körmann
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Blazej Grabowski
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Joerg Neugebauer
Computational Materials Science 187, 110065
February 01, 2021
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Atomic relaxation around defects in magnetically disordered materials computed by atomic spin constraints within an efficient Lagrange formalism
Omkar Hegde
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Maximilian Grabowski
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Xie Zhang
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Osamu Waseda
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Tilmann Hickel
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Christoph Freysoldt
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Jörg Neugebauer
Phys. Rev. B 102, 144101
October 09, 2020
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Generalized dipole correction for charged surfaces in the repeated-slab approach
Christoph Freysoldt
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Arpit Mishra
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Michael Ashton
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Joerg Neugebauer
Physical Review B 102, 045403
July 01, 2020
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Interplay of Chemistry and Faceting at Grain Boundaries in a Model Al Alloy
Huan Zhao
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Liam Huber
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Wenjun Lu
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Nicolas J. Peter
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Dayong An
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Frédéric De Geuser
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Gerhard Dehm
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Dirk Ponge
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Joerg Neugebauer
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Baptiste Gault
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Dierk Raabe
Physical Review Letters 124, 106102
March 09, 2020
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Phase transitions in titanium with an analytic bond-order potential
Alberto Ferrari
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Malte Schröder
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Yury Lysogorskiy
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Jutta Rogal
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Matous Mrovec
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Ralf Drautz
Modelling and Simulation in Materials Science and Engineering, Volume 27, Number 8
October 09, 2019
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Ab initio vibrational free energies including anharmonicity for multicomponent alloys
Blazej Grabowski
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Yuji Ikeda
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Prashanth Srinivasan
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Fritz Körmann
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Christoph Freysoldt
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Andrew Ian Duff
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Alexander Shapeev
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Jörg Neugebauer
npj Computational Materials, Volume 5, Number 80
July 26, 2019
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pyiron: An integrated development environment for computational materials science
Jan Janssen
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Sudarsan Surendralal
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Yury Lysogorskiy
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Mira Todorova
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Tilmann Hickel
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Ralf Drautz
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Jörg Neugebauer
Computational Materials Science 163, 24-26
June 01, 2019
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