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Nima H. siboni
Nima H. siboni
Research Engineer in InstaDeep
Bestätigte E-Mail-Adresse bei instadeep.com
Titel
Zitiert von
Zitiert von
Jahr
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
762021
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
252023
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
182018
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
172022
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
162022
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
152022
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
132022
Anomalous transport in heterogeneous media
J Horbach, NH Siboni, SK Schnyder
The European Physical Journal Special Topics 226, 3113-3128, 2017
122017
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
112020
Transport and phase separation of active Brownian particles in fluctuating environments
SMJ Khadem, NH Siboni, SHL Klapp
Physical Review E 104 (6), 064615, 2021
92021
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
92018
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
82023
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
82020
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
72015
Maintaining the equipartition theorem in small heterogeneous molecular dynamics ensembles
NH Siboni, D Raabe, F Varnik
Physical Review E 87 (3), 030101, 2013
72013
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
32022
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
32014
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
22022
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
22022
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