Zobrazeno 1 - 10
of 1 156
pro vyhledávání: '"Spencer, James A."'
Publikováno v:
Science 385, 6711 (2024)
We present a variational Monte Carlo algorithm for estimating the lowest excited states of a quantum system which is a natural generalization of the estimation of ground states. The method has no free parameters and requires no explicit orthogonaliza
Externí odkaz:
http://arxiv.org/abs/2308.16848
This project demonstrates how medical corpus hypothesis generation, a knowledge discovery field of AI, can be used to derive new research angles for landscape and urban planners. The hypothesis generation approach herein consists of a combination of
Externí odkaz:
http://arxiv.org/abs/2306.02588
Autor:
Lou, Wan Tong, Sutterud, Halvard, Cassella, Gino, Foulkes, W. M. C., Knolle, Johannes, Pfau, David, Spencer, James S.
Publikováno v:
Phys. Rev. X 14, 021030 (2024)
Understanding superfluidity remains a major goal of condensed matter physics. Here we tackle this challenge utilizing the recently developed Fermionic neural network (FermiNet) wave function Ansatz [D. Pfau et al., Phys. Rev. Res. 2, 033429 (2020).]
Externí odkaz:
http://arxiv.org/abs/2305.06989
We present a novel neural network architecture using self-attention, the Wavefunction Transformer (Psiformer), which can be used as an approximation (or Ansatz) for solving the many-electron Schr\"odinger equation, the fundamental equation for quantu
Externí odkaz:
http://arxiv.org/abs/2211.13672
Autor:
Schaarschmidt, Michael, Riviere, Morgane, Ganose, Alex M., Spencer, James S., Gaunt, Alexander L., Kirkpatrick, James, Axelrod, Simon, Battaglia, Peter W., Godwin, Jonathan
We present evidence that learned density functional theory (``DFT'') force fields are ready for ground state catalyst discovery. Our key finding is that relaxation using forces from a learned potential yields structures with similar or lower energy t
Externí odkaz:
http://arxiv.org/abs/2209.12466
We report the development of a python-based auxiliary-field quantum Monte Carlo (AFQMC) program, ipie, with preliminary timing benchmarks and new AFQMC results on the isomerization of [Cu$_2$O$_2$$]^{2+}$. We demonstrate how implementations for both
Externí odkaz:
http://arxiv.org/abs/2209.04015
Autor:
Hermann, Jan, Spencer, James, Choo, Kenny, Mezzacapo, Antonio, Foulkes, W. M. C., Pfau, David, Carleo, Giuseppe, Noé, Frank
Machine learning and specifically deep-learning methods have outperformed human capabilities in many pattern recognition and data processing problems, in game playing, and now also play an increasingly important role in scientific discovery. A key ap
Externí odkaz:
http://arxiv.org/abs/2208.12590
Autor:
Gibson, Spencer James, Narendra, Aditya, Dainotti, Maria Giovanna, Bogdan, Malgorzata, Pollo, Agniezska, Poliszczuk, Artem, Rinaldi, Enrico, Liodakis, Ioannis
Redshift measurement of active galactic nuclei (AGNs) remains a time-consuming and challenging task, as it requires follow up spectroscopic observations and detailed analysis. Hence, there exists an urgent requirement for alternative redshift estimat
Externí odkaz:
http://arxiv.org/abs/2203.00087
Autor:
Narendra, Aditya, Gibson, Spencer James, Dainotti, Maria Giovanna, Bogdan, Malgorzata, Pollo, Agnieszka, Liodakis, Ioannis, Poliszczuk, Artem
Measuring the redshift of active galactic nuclei (AGNs) requires the use of time-consuming and expensive spectroscopic analysis. However, obtaining redshift measurements of AGNs is crucial as it can enable AGN population studies, provide insight into
Externí odkaz:
http://arxiv.org/abs/2201.05374
Autor:
Jane Shawcroft, Megan Gale, Sarah M. Coyne, Jean M. Twenge, Jason S. Carroll, W. Brad Wilcox, Spencer James
Publikováno v:
Heliyon, Vol 10, Iss 9, Pp e30236- (2024)
Externí odkaz:
https://doaj.org/article/b480b1ab611247ab82ddba04a60efac5