Publications of Liam Huber

Zhao, H.; Gault, B.; De Geuser, F.; Huber, L.; Lu, W.; Peter, N. J.; Ponge, D.; Raabe, D.: Segregation and precipitation at grain boundaries in an Al-Zn-Mg-Cu alloy. Advanced Metallic Systems CDT seminar, virtual, Manchester, UK (2020)

Zhao, H.; Gault, B.; De Geuser, F.; Huber, L.; Lu, W.; Peter, N. J.; Ponge, D.; Raabe, D.: Segregation and precipitation at grain boundaries in an Al-Zn-Mg-Cu alloy. 17th International Conference on Aluminium Alloys ICAA 2020, virtual, Grenoble, France (accepted)

Neugebauer, J.; Lymperakis, L.; Janßen, J.; Huber, L.; Hickel, T.: Modeling crystal growth and materials design in high dimensional chemical and structural configuration spaces. German Conference on Crystal Growth DKT 2020, München/Garching, Germany (2020)

Neugebauer, J.; Janßen, J.; Huber, L.; Ikeda, Y.; Körmann, F.; Grabowski, B.; Hickel, T.; Shapeev, A.: Materials Design in High Dimensional Chemical and Structural Configuration Spaces. TMS 2020 Annual Meeting & Exhibition, San Diego, CA, USA (2020)

Zhao, H.; Huber, L.; Lu, W.; Peter, N. J.; An, D.; De Geuser, F.; Dehm, G.; Ponge, D.; Neugebauer, J.; Gault, B. et al.; Ponge, D.; Raabe, D.: Interplay of chemistry and faceting at grain boundaries in a model Al-alloy. TMS Annual Meeting & Exhibition, San Diego, CA, USA (2020)

Neugebauer, J.; Janßen, J.; Huber, L.; Körmann, F.; Hickel, T.; Grabowski, B.: Construction and exploitation of large ab initio data spaces to design materials with superior mechanical properties. MRS-J: Materials Research Meeting 2019, Yokohama, Japan (2019)

Neugebauer, J.; Huber, L.; Körmann, F.; Grabowski, B.; Hickel, T.: Ab initio input for multiphysics models: Accuracy, performance and challenges. ISAM4: The fourth International Symposium on Atomistic and Multiscale Modeling of Mechanics and Multiphysics, Erlangen, Germany (2019)

Huber, L.; Hadian, R.; Grabowski, B.; Neugebauer, J.: Computing and modelling solute-grain boundary interaction. Canadian Materials Science Conference, Vancouver, Canada (2019)

Huber, L.: High-throughput calculations and modelling of solute-GB segregation. Thermec 2018 Conference, Paris, France (2018)

Poul, M.; Huber, L.; Bitzek, E.; Neugebauer, J.: Systematic Structure Datasets for Machine Learning Potentials: Application to Moment Tensor Potentials of Magnesium and its Defects. arXiv (2022)