Computational number theory pdf research papers

Materials Science, Physics. Nature Nanotechnology. Prospects of spintronics based on 2D materials. An artificial intelligence-aided virtual screening recipe for two-dimensional materials discovery.

Solution-processable 2D semiconductors for high-performance large-area electronics. Recent progress and challenges in magnetic tunnel junctions with 2D materials for spintronic applications. As Moore's law is gradually losing its effectiveness, the development of alternative high-speed and low-energy—consuming information technology with postsilicon-advanced materials is urgently needed.

Physics, Materials Science. Chemistry of Materials. Despite their extraordinary properties, electrides are still a relatively unexplored class of materials with only a few compounds grown experimentally. This service is more advanced with JavaScript available.

Editors view affiliations Marc Fischlin Stefan Katzenbeisser. Builder and director of the research group CDC Leading figure in computational number theory, cryptography and information security Numerous scientific publications covering a very wide spectrum of interests. Front Matter. Laudatio in Honour of Professor Dr.

Johannes Buchmann on the Occasion of His 60 th Birthday. Pages Operating Degrees for XL vs. Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data. Equivariant analytical mapping of first principles Hamiltonians to accurate and transferable materials models. We propose a data-driven scheme to construct predictive models for Hamiltonian and overlap matrices in atomic orbital representation from ab initio data as a function of local atomic and bond … Expand.

View 1 excerpt, cites methods. Inverse design of 3d molecular structures with conditional generative neural networks. Computer Science, Physics. The Journal of Physical Chemistry C. Gebauer, M. Gastegger, and K. Atomic permutationally invariant polynomials for fitting molecular force fields. Machine-learned potential energy surfaces PESs for molecules with more than 10 atoms are typically forced to use lower-level electronic structure methods such as density functional theory and … Expand.

Equivariant message passing for the prediction of tensorial properties and molecular spectra. Chemical reviews. Improved accuracy and transferability of molecular-orbital-based machine learning: Organics, transition-metal complexes, non-covalent interactions, and transition states.

The Journal of chemical physics. Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics.