Zobrazeno 1 - 10
of 1 123
pro vyhledávání: '"Pierleoni, A"'
Autor:
Bonitz, Michael, Vorberger, Jan, Bethkenhagen, Mandy, Böhme, Maximilian, Ceperley, David, Filinov, Alexey, Gawne, Thomas, Graziani, Frank, Gregori, Gianluca, Hamann, Paul, Hansen, Stephanie, Holzmann, Markus, Hu, S. X., Kählert, Hanno, Karasiev, Valentin, Kleinschmidt, Uwe, Kordts, Linda, Makait, Christopher, Militzer, Burkhard, Moldabekov, Zhandos, Pierleoni, Carlo, Preising, Martin, Ramakrishna, Kushal, Redmer, Ronald, Schwalbe, Sebastian, Svensson, Pontus, Dornheim, Tobias
Accurate knowledge of the properties of hydrogen at high compression is crucial for astrophysics (e.g. planetary and stellar interiors, brown dwarfs, atmosphere of compact stars) and laboratory experiments, including inertial confinement fusion. Ther
Externí odkaz:
http://arxiv.org/abs/2405.10627
Extracting structured information from unstructured text is critical for many downstream NLP applications and is traditionally achieved by closed information extraction (cIE). However, existing approaches for cIE suffer from two limitations: (i) they
Externí odkaz:
http://arxiv.org/abs/2404.12788
We study the electronic excitation spectra in solid molecular hydrogen (phase I) at ambient temperature and 5-90 GPa pressures using Quantum Monte Carlo methods and Many-Body Perturbation Theory. In this range, the system changes from a wide gap mole
Externí odkaz:
http://arxiv.org/abs/2311.08506
Autor:
Ceperley, David M., Jensen, Scott, Yang, Yubo, Niu, Hongwei, Pierleoni, Carlo, Holzmann, Markus
Publikováno v:
Electron. Struct. 6 (2024) 015011
Quantum Monte Carlo (QMC) can play a very important role in generating accurate data needed for constructing potential energy surfaces. We argue that QMC has advantages in terms of a smaller systematic bias and an ability to cover phase space more co
Externí odkaz:
http://arxiv.org/abs/2310.15994
Autor:
Whitehouse, Chenxi, Vania, Clara, Aji, Alham Fikri, Christodoulopoulos, Christos, Pierleoni, Andrea
Extracting structured and grounded fact triples from raw text is a fundamental task in Information Extraction (IE). Existing IE datasets are typically collected from Wikipedia articles, using hyperlinks to link entities to the Wikidata knowledge base
Externí odkaz:
http://arxiv.org/abs/2305.14293
Publikováno v:
Condensed Matter Physics, 2023, vol. 26, No. 3, 33701
We present a method of calculating the energy gap of a charge-neutral excitation using only ground-state calculations. We report Quantum Monte Carlo calculations of $\Gamma\rightarrow\Gamma$ and $\Gamma\rightarrow X$ particle-hole excitation energies
Externí odkaz:
http://arxiv.org/abs/2303.17944
Autor:
Niu, Hongwei, Yang, Yubo, Jensen, Scott, Holzmann, Markus, Pierleoni, Carlo, Ceperley, David M.
Publikováno v:
Phys. Rev. Lett. 130, 076102 (2023)
We survey the phase diagram of high-pressure molecular hydrogen with path integral molecular dynamics using a machine-learned interatomic potential trained with Quantum Monte Carlo forces and energies. Besides the HCP and C2/c-24 phases, we find two
Externí odkaz:
http://arxiv.org/abs/2209.00658
We introduce ReFinED, an efficient end-to-end entity linking model which uses fine-grained entity types and entity descriptions to perform linking. The model performs mention detection, fine-grained entity typing, and entity disambiguation for all me
Externí odkaz:
http://arxiv.org/abs/2207.04108
Recent work in entity disambiguation (ED) has typically neglected structured knowledge base (KB) facts, and instead relied on a limited subset of KB information, such as entity descriptions or types. This limits the range of contexts in which entitie
Externí odkaz:
http://arxiv.org/abs/2207.04106
Autor:
Johnson, Nicole V., Wall, Steven C., Kramer, Kevin J., Holt, Clinton M., Periasamy, Sivakumar, Richardson, Simone I., Manamela, Nelia P., Suryadevara, Naveenchandra, Andreano, Emanuele, Paciello, Ida, Pierleoni, Giulio, Piccini, Giulia, Huang, Ying, Ge, Pan, Allen, James D., Uno, Naoko, Shiakolas, Andrea R., Pilewski, Kelsey A., Nargi, Rachel S., Sutton, Rachel E., Abu-Shmais, Alexandria A., Parks, Robert, Haynes, Barton F., Carnahan, Robert H., Crowe, James E., Jr., Montomoli, Emanuele, Rappuoli, Rino, Bukreyev, Alexander, Ross, Ted M., Sautto, Giuseppe A., McLellan, Jason S., Georgiev, Ivelin S.
Publikováno v:
In Structure 7 November 2024 32(11):1893-1909
