| Teaching solid mechanics to artificial intelligence—a fast solver for heterogeneous materials JR Mianroodi, N H. Siboni, D Raabe Npj Computational Materials 7 (1), 99, 2021 | 80 | 2021 |
| An artificial neural network for surrogate modeling of stress fields in viscoplastic polycrystalline materials MS Khorrami, JR Mianroodi, NH Siboni, P Goyal, B Svendsen, P Benner, ... npj Computational Materials 9 (1), 37, 2023 | 25 | 2023 |
| Machine-learning-based surrogate modeling of microstructure evolution using phase-field I Peivaste, NH Siboni, G Alahyarizadeh, R Ghaderi, B Svendsen, ... Computational Materials Science 214, 111750, 2022 | 20 | 2022 |
| Nonmonotonic classical magnetoconductivity of a two-dimensional electron gas in a disordered array of obstacles NH Siboni, J Schluck, K Pierz, HW Schumacher, D Kazazis, J Horbach, ... Physical Review Letters 120 (5), 056601, 2018 | 18 | 2018 |
| Lossless multi-scale constitutive elastic relations with artificial intelligence JR Mianroodi, S Rezaei, NH Siboni, BX Xu, D Raabe npj Computational Materials 8 (1), 67, 2022 | 17 | 2022 |
| Deep learning framework for uncovering compositional and environmental contributions to pitting resistance in passivating alloys KN Sasidhar, NH Siboni, JR Mianroodi, M Rohwerder, J Neugebauer, ... Npj Materials Degradation 6 (1), 71, 2022 | 15 | 2022 |
| Modeling and simulation of microstructure in metallic systems based on multi-physics approaches JR Mianroodi, P Shanthraj, C Liu, S Vakili, S Roongta, NH Siboni, ... npj Computational Materials 8 (1), 93, 2022 | 13 | 2022 |
| Anomalous transport in heterogeneous media J Horbach, NH Siboni, SK Schnyder The European Physical Journal Special Topics 226, 3113-3128, 2017 | 12 | 2017 |
| Non-monotonic response of a sheared magnetic liquid crystal to a continuously increasing external field N H Siboni, GP Shrivastav, SHL Klapp The Journal of Chemical Physics 152 (2), 2020 | 11 | 2020 |
| Enhancing corrosion-resistant alloy design through natural language processing and deep learning KN Sasidhar, NH Siboni, JR Mianroodi, M Rohwerder, J Neugebauer, ... Science Advances 9 (32), eadg7992, 2023 | 10 | 2023 |
| Transport and phase separation of active Brownian particles in fluctuating environments SMJ Khadem, NH Siboni, SHL Klapp Physical Review E 104 (6), 064615, 2021 | 10 | 2021 |
| Linear negative magnetoresistance in two-dimensional Lorentz gases J Schluck, M Hund, T Heckenthaler, T Heinzel, NH Siboni, J Horbach, ... Physical Review B 97 (11), 115301, 2018 | 9 | 2018 |
| Steady-state rheology and structure of soft hybrid mixtures of liquid crystals and magnetic nanoparticles GP Shrivastav, NH Siboni, SHL Klapp Soft Matter 16 (10), 2516-2527, 2020 | 8 | 2020 |
| Aging in amorphous solids: A study of the first-passage time and persistence time distributions NH Siboni, D Raabe, F Varnik Europhysics Letters 111 (4), 48004, 2015 | 7 | 2015 |
| Maintaining the equipartition theorem in small heterogeneous molecular dynamics ensembles NH Siboni, D Raabe, F Varnik Physical Review E 87 (3), 030101, 2013 | 7 | 2013 |
| Computational discovery of energy-efficient heat treatment for microstructure design using deep reinforcement learning JR Mianroodi, NH Siboni, D Raabe arXiv preprint arXiv:2209.11259, 2022 | 3 | 2022 |
| Teaching Solid Mechanics to Artificial Intelligence: a fast solver for heterogeneous solids JR Mianroodi, NH Siboni, D Raabe arXiv preprint arXiv:2103.09147, 2021 | 3* | 2021 |
| Chapman-Enskog Analysis of Finite Volume Lattice Boltzmann Schemes NH Siboni, D Raabe, F Varnik arXiv preprint arXiv:1407.5266, 2014 | 3 | 2014 |
| Structure and rheology of soft hybrid systems of magnetic nanoparticles in liquid-crystalline matrices: results from particle-resolved computer simulations NH Siboni, GP Shrivastav, SD Peroukidis, SHL Klapp Physical Sciences Reviews 7 (11), 1345-1371, 2022 | 2 | 2022 |
| Surrogate modeling of stress fields in periodic polycrystalline microstructures using U-Net and Fourier neural operators S Kapoor, J Mianroodi, B Svendsen, M Khorrami, NH Siboni NeurIPS 2022 AI for Science: Progress and Promises, 2022 | 2 | 2022 |
Dierk RaabeMax Planck Institute for Sustainable MaterialsVerified email at mpie.de
