FHI
The NOMAD Laboratory

Novel Materials Discovery at the Fritz Haber Institute of the Max Planck Society

Publications

Publications of the NOMAD Laboratory

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2025

Articles

  1. Akhil S. Nair, L. Foppa, M. Scheffler,
    Materials-Discovery Workflows Guided by Symbolic Regression: Identifying Acid-Stable Oxides for Electrocatalysis.
    npj Comput Mater 11, 150 (2025), https://doi.org/10.1038/s41524-025-01596-4 
    Download (2025): pdf

  2. Y. Cao, M. Zhang, P. Lin, M. Chen, X. Ren,
    Applying Space-Group Symmetry to Speed up Hybrid-Functional Calculations within the Framework of Numerical Atomic Orbitals.
    J. Chem. Theory Comput. 2025, 21, 16, 8086–8105, https://doi.org/10.1021/acs.jctc.5c00537 
    Download (2025): pdf

  3. C. Carbogno, N. Rybin, S. P. Jand, A. Akkoush, C. M. Acosta, Z. Yuan, M. Rossi,
    Polarisation, Born Effective Charges, and Topological Invariants via a Berry-Phase Approach.
    Submitted for publication January 5, 2025, https://arxiv.org/abs/2501.02550 
    Preprint Download (2025): arXiv

  4. C. Liu, A. Meledin, W. Aggoune, Y. Sun, M. Abdeldayem, T. Remmele, A. Fiedler, T. Schulz, Y. Yang, J. Schwarzkopf, M. Scheffler, M. Albrecht, D. Zhou,
    Ex Situ and In Situ STEM Investigations of Memristive Switching Mechanisms in Off-stoichiometric SrTiO3.
    Microscopy and Microanalysis, Volume 31, Issue Supplement_1, July 2025, https://doi.org/10.1093/mam/ozaf048.561
    Download (2025): pdf

  5. S. Eibl, Y. Yao, M. Scheffler, M. Rampp, L. M. Ghiringhelli, T. A. R. Purcell,
    A high-performance and portable implementation of the SISSO method for CPUs and GPUs.
    Mach. Learn.: Sci. Technol. 6 047001, 2025; https://doi.org/10.1088/2632-2153/ae0ab3
    Download (2025): pdf

  6. L. Foppa, M. Scheffler,
    Coherent Collections of Rules Describing Exceptional Materials Identified with a Multi-Objective Optimization of Subgroups.
    Digit. Discov. 2025, 4, 2175-2187; https://doi.org/10.1039/D5DD00174A
    Download (2025): pdf

  7. A. M. Ganose, H. Sahasrabuddhe, M. Asta, K. Beck,T. Biswas, A. Bonkowski, J. Bustamante, X. Chen, Y. Chiang, D. C. Chrzan, J. Clary, O. A. Cohen, C. Ertural, M. C. Gallant, J. George, S. Gerits, R. E. A. Goodall, R. D. Guha, G. Hautier, M. Horton, A. D. Kaplan, R. S. Kingsbury, M. C. Kuner, B. Li, X. Linn, M. J. McDermott, R. S. Mohanakrishnan, A. N. Naik, J. B. Neaton, K. A. Persson, G. Petretto, T. A. R. Purcell, F. Ricci, B. Rich, J. Riebesell, G.-M. Rignanese, A. S. Rosen, M. Scheffler, J. Schmidt, J.-X. Shen27, A. Sobolev, R. Sundararaman, C. Tezak, V. Trinquet, J. B. Varley, D. Vigil-Fowler, D. Wang, D. Waroquiers, M. Wen, H. Yang, H. Zheng, J. Zheng, Z. Zhu, A. Jain,
    Atomate2: Modular workflows for materials science.
    Digital Discovery, 2025, 4, 1944-1973 ; https://doi.org/10.1039/D5DD00019J 
    Download (2025): pdf

  8. H. I. Rivera-Arrieta, L. Foppa,
    Rules Describing CO2 Activation on Single-Atom Alloys from DFT-meta-GGA Calculations and Artificial Intelligence.
    ACS Catal. 2025, 15, 4, 2916–2926; https://doi.org/10.1021/acscatal.4c07178 
    Download (2025): pdf

  9. K. Kang, T. A. R. Purcell, C. Carbogno, M. Scheffler,
    Accelerating the Training and Improving the Reliability of Machine-Learned Interatomic Potentials for Strongly Anharmonic Materials through Active Learning.
    Phys. Rev. Materials 9, 063801, https://link.aps.org/doi/10.1103/PhysRevMaterials.9.063801
    Download (2025): pdf

  10. S. Kokott, V. Blum, M. Scheffler,
    Efficient computation of the long-range exact exchange using an extended screening function.
    J. Chem. Phys. 162, 224103 (2025), https://doi.org/10.1063/5.0262451 
    Download (2025): pdf

  11. M. Azizi, F. A. Delesma, M. Giantomassi, D.Zavickis, M. Kuisma, K. Thyghesen, D. Golze, A. Buccheri, M. Zhang, P. Rinke, C. Draxl, A. Gulans, X. Gonze,
    Precision benchmarks for solids: G0W0 calculations with different basis sets.
    Computational Materials Science, Volume 250, 2025, 113655, https://doi.org/10.1016/j.commatsci.2024.113655 
    Download (2025): pdf

  12. J. M. Mauß, Klara S. Kley, R. Khobragade, N.-K. Tran, J. de Bellis, F. Schüth, M. Scheffler, L. Foppa,
    Modeling Time-On-Stream Catalyst Reactivity in the Selective Hydrogenation of Concentrated Acetylene Streams under Industrial Conditions via Experiments and AI.
    ACS Catal. 2025, 15, XXX, 12652–12665, https://doi.org/10.1021/acscatal.5c02226 
    Download (2025): pdf

  13. E. Moerman, A. Gallo, A. Irmler, T. Schäfer, F. Hummel, A. Grüneis, M. Scheffler,
    Finite-size Effects in periodic EOM-CCSD for Ionization Energies and Electron Affinities: Convergence Rate and Extrapolation to the Thermodynamic Limit.
    J. Chem. Theory Comput. 2025, 21, 4, 1865–1878, https://doi.org/10.1021/acs.jctc.4c01451 
    Download (2025): pdf

  14. E. Moerman, H. Miranda, A. Gallo, A. Irmler, T. Schäfer, F. Hummel, M. Engel, G. Kresse, M. Scheffler,
    Exploring the accuracy of the equation-of-motion coupled-cluster band gap of solids.
    Phys. Rev. B 111, L121202, https://doi.org/10.1103/PhysRevB.111.L121202
    Download (2025): pdf

  15. Akhil S. Nair, L. Foppa, M. Scheffler,
    Materials Database from All-electron Hybrid Functional DFT Calculations.
    Sci Data 12, 1518 (2025), https://doi.org/10.1038/s41597-025-05867-z 
    Download (2025): pdf

  16. R. Shi, M. Zhang, P. Lin, L. He, X. Ren,
    LibRPA: A software package for low-scaling first-principles calculations of random phase approximation electron correlation energy based on numerical atomic orbitals.
    Computer Physics Communications, 309, 109496, 2025, https://doi.org/10.1016/j.cpc.2024.109496 
    Download: pdf

  17. D. T. Speckhard, C. Carbogno, L. M. Ghiringhelli, S. Lubeck, M. Scheffler, C. Draxl,
    Extrapolation to the complete basis-set limit in density-functional theory using statistical learning.
    Phys. Rev. Materials 9, 013801, 2025, https://doi.org/10.1103/PhysRevMaterials.9.013801  
    Download: pdf 

  18. M. N. Tahir, H. Shang, X. Ren,
    Analytical gradients of random-phase approximation plus corrections from renormalized single excitations.
    J. Chem. Theory Comput. 2025, 21, 21, 10822–10841, https://doi.org/10.1021/acs.jctc.5c01053  
    Download (2025): pdf

  19. W. Aggoune, M. Scheffler,
    Defect-driven switchable polarization in SrTiO3.
    Phys. Rev. Materials 9, 114601, 2025, https://doi.org/10.1103/7sd9-6gll 
    Download (2025): pdf