5 papers
QERNEL: a Scalable Large Electron Model
Khachatur Nazaryan, Liang Fu
We introduce QERNEL, a foundational neural wavefunction that variationally solves families of parameterized many-electron Hamiltonians and captures their ground states throughout p…
Artificial Intelligence for Quantum Matter: Finding a Needle in a Haystack
Khachatur Nazaryan, Filippo Gaggioli, Yi Teng +1
Neural networks (NNs) have great potential in solving the ground state of various many-body problems. However, several key challenges remain to be overcome before NNs can tackle pr…
Is attention all you need to solve the correlated electron problem?
Max Geier, Khachatur Nazaryan, Timothy Zaklama +1
The attention mechanism has transformed artificial intelligence research by its ability to learn relations between objects. In this work, we explore how a many-body wavefunction an…
Low-temperature electron mobility in doped semiconductors with high dielectric constant
Khachatur G. Nazaryan, Mikhail Feigel'man
We propose and study theoretically a new mechanism of electron-impurity scattering in doped seminconductors with large dielectric constant. It is based upon the idea of \textit{vec…
Conductivity and thermoelectric coefficients of doped SrTiO at high temperatures
Kh. G. Nazaryan, M. V. Feigelman
We developed a theory of electric and thermoelectric conductivity of lightly doped SrTiO in the non-degenerate region , assuming that the major source of electr…