Zobrazeno 1 - 10
of 1 163
pro vyhledávání: '"Sparks, P. D."'
Autor:
Jain, Rakshit, Roddy, Matthew, Gupta, Vishakha, Huang, Benjamin, Sayeed, Hasan M., Alnaser, Husain F., Vashist, Amit, Watanabe, Kenji, Taniguchi, Takashi, Deshpande, Vikram V., Sparks, Taylor D., Ralph, Daniel C.
Quantized anomalous Hall effects (QAHEs) occur in remarkable electronic states which possess not only quantized Hall signals but in some cases regions of dissipationless electron transport. The initial demonstrations of a QAHE in a magnetically-doped
Externí odkaz:
http://arxiv.org/abs/2412.05380
Vector embeddings derived from large language models (LLMs) show promise in capturing latent information from the literature. Interestingly, these can be integrated into material embeddings, potentially useful for data-driven predictions of materials
Externí odkaz:
http://arxiv.org/abs/2409.11971
Autor:
Gupta, Vishakha, Jain, Rakshit, Ren, Yafei, Zhang, Xiyue S., Alnaser, Husain F., Vashist, Amit, Deshpande, Vikram V., Muller, David A., Xiao, Di, Sparks, Taylor D., Ralph, Daniel C.
We demonstrate advantages of samples made by mechanical stacking of exfoliated van der Waals materials for controlling the topological surface state of a 3-dimensional topological insulator (TI) via interaction with an adjacent magnet layer. We assem
Externí odkaz:
http://arxiv.org/abs/2206.02537
The recent emergence of multi-species multi-phase materials provides intriguing opportunities to maximize electrochemical performance in various electrochemical devices. This work summarizes the current understanding of the coupled transport reaction
Externí odkaz:
http://arxiv.org/abs/2206.14141
The current work studies the effect of sintering conditions on the densification behavior, microstructure, and electrochemical performance of 6 mol% Sc2O3, 1 mol% CeO2 co-doped ZrO2 (6Sc1CeZr) for solid-state electrolyte applications. The specimen's
Externí odkaz:
http://arxiv.org/abs/2205.12589
Expensive-to-train deep learning models can benefit from an optimization of the hyperparameters that determine the model architecture. We optimize 23 hyperparameters of a materials informatics model, Compositionally-Restricted Attention-Based Network
Externí odkaz:
http://arxiv.org/abs/2203.12597
Experimentally [1-38] and computationally [39-50] validated machine learning (ML) articles are sorted based on the size of the training data: 1-100, 101-10000, and 10000+ in a comprehensive set summarizing legacy and recent advances in the field. The
Externí odkaz:
http://arxiv.org/abs/2202.02380
Autor:
Baral, Raju, Christensen, Jacob, Hamilton, Parker, Ye, Feng, Chesnel, Karine, Sparks, Taylor D., Ward, Rosa, Yan, Jiaqiang, McGuire, Michael A., Manley, Michael E., Staunton, Julie B., Hermann, Raphaël P., Frandsen, Benjamin A.
Publikováno v:
Matter, 5, pp. 1853-1864 (2022)
Short-range magnetic correlations can significantly increase the thermopower of magnetic semiconductors, representing a noteworthy development in the decades-long effort to develop high-performance thermoelectric materials. Here, we reveal the nature
Externí odkaz:
http://arxiv.org/abs/2201.05241
As the thickness of a three-dimensional (3D) topological insulator (TI) becomes comparable to the penetration depth of the surface states, quantum tunneling between surfaces turns their gapless Dirac electronic structure into a gapped surface state.
Externí odkaz:
http://arxiv.org/abs/2004.04870
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.