Kostya S. Novoselov

According to our database, Kostya S. Novoselov authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Composable Crystals: Controllable Materials Discovery via Concept Learning.

Nian Liu, Yuwei Zeng, Ryoji Kubo, Nikita Kazeev, Stephen G. Dale, Artem Maevskiy, Pengru Huang, Thomas Laurent, Kostya S. Novoselov, Xavier Bresson

CoRR, May, 2026

Crys-JEPA: Accelerating Crystal Discovery via Embedding Screening and Generative Refinement.

Nian Liu, Nikita Kazeev, Stephen G. Dale, Artem Maevskiy, Yuwei Zeng, Ryoji Kubo, Pengru Huang, Thomas Laurent, Yann LeCun, Kostya S. Novoselov, Xavier Bresson

CoRR, May, 2026

2025

Scalable learning of macroscopic stochastic dynamics.

Mengyi Chen, Pengru Huang, Kostya S. Novoselov, Qianxiao Li

CoRR, November, 2025

2024

Robotization of Synthesis and Analysis Process of Graphene Oxide-Based Membrane.

Aleksei V. Meshkov, Anna A. Nikitina, Timur A. Aliev, Vladislav S. Gromov, Siyu Chen, Kou Yang, Qian Wang, Kostya S. Novoselov, Daria V. Andreeva, Ekaterina V. Skorb

Adv. Intell. Syst., May, 2024

Constructing custom thermodynamics using deep learning.

Xiaoli Chen, Beatrice W. Soh, Zi-En Ooi, Eléonore Vissol-Gaudin, Haijun Yu, Kostya S. Novoselov, Kedar Hippalgaonkar, Qianxiao Li

Nat. Comput. Sci., 2024

Diagonalization without Diagonalization: A Direct Optimization Approach for Solid-State Density Functional Theory.

Tianbo Li, Min Lin, Stephen Dale, Zekun Shi, A. H. Castro Neto, Kostya S. Novoselov, Giovanni Vignale

CoRR, 2024

2023

D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory.

Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan

Proceedings of the Eleventh International Conference on Learning Representations, 2023