Deep Learning the Hohenberg-Kohn Maps of Density Functional Theory

Machine learning accurate exchange and correlation functionals of the electronic density

(2020) Sebastian Dick et al.   Nature Communications

Emerging Two-Dimensional Gauge Theories in Rydberg Configurable Arrays

(2020) Alessio Celi et al.   Physical Review X

Quantum Kibble–Zurek mechanism and critical dynamics on a programmable Rydberg simulator

(2019) Alexander Keesling et al.   NATURE

Supervised machine learning of ultracold atoms with speckle disorder

(2019) S. Pilati et al.   Scientific Reports

Electron Density Studies in Materials Research

(2019) Kasper Tolborg et al.   CHEMISTRY-A EUROPEAN JOURNAL

Generation and manipulation of Schrödinger cat states in Rydberg atom arrays

(2019) A. Omran et al.   SCIENCE

Machine Learning the Physical Nonlocal Exchange–Correlation Functional of Density-Functional Theory

(2019) Jonathan Schmidt et al.   Journal of Physical Chemistry Letters

Machine learning and the physical sciences

(2019) Giuseppe Carleo et al.   REVIEWS OF MODERN PHYSICS

Neural-network Kohn-Sham exchange-correlation potential and its out-of-training transferability

(2018) Ryo Nagai et al.   JOURNAL OF CHEMICAL PHYSICS

Semi-local machine-learned kinetic energy density functional with third-order gradients of electron density

(2018) Junji Seino et al.   JOURNAL OF CHEMICAL PHYSICS

Nonequilibrium Mass Transport in the 1D Fermi-Hubbard Model

(2018) S. Scherg et al.   PHYSICAL REVIEW LETTERS

Solving the quantum many-body problem with artificial neural networks

(2017) Giuseppe Carleo et al.   SCIENCE

Quantum crystallography

(2017) Simon Grabowsky et al.   Chemical Science

Bypassing the Kohn-Sham equations with machine learning

(2017) Felix Brockherde et al.   Nature Communications

Discovering charge density functionals and structure-property relationships with PROPhet: A general framework for coupling machine learning and first-principles methods

(2017) Brian Kolb et al.   Scientific Reports

Understanding machine-learned density functionals

(2015) Li Li et al.   INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY

Orbital-free bond breaking via machine learning

(2013) John C. Snyder et al.   JOURNAL OF CHEMICAL PHYSICS

Finding Density Functionals with Machine Learning

(2012) John C. Snyder et al.   PHYSICAL REVIEW LETTERS

Challenges for Density Functional Theory

(2011) Aron J. Cohen et al.   CHEMICAL REVIEWS

Single-atom-resolved fluorescence imaging of an atomic Mott insulator

(2010) Jacob F. Sherson et al.   NATURE

Strongly Interacting Bosons in a Disordered Optical Lattice

(2009) M. White et al.   PHYSICAL REVIEW LETTERS

Localization and Delocalization Errors in Density Functional Theory and Implications for Band-Gap Prediction

(2008) Paula Mori-Sánchez et al.   PHYSICAL REVIEW LETTERS

Many-body physics with ultracold gases

(2008) Immanuel Bloch et al.   REVIEWS OF MODERN PHYSICS

Insights into Current Limitations of Density Functional Theory

(2008) A. J. Cohen et al.   SCIENCE