M
Matthias Troyer
Researcher at Microsoft
Publications - 481
Citations - 35590
Matthias Troyer is an academic researcher from Microsoft. The author has contributed to research in topics: Quantum Monte Carlo & Monte Carlo method. The author has an hindex of 86, co-authored 473 publications receiving 28965 citations. Previous affiliations of Matthias Troyer include University of Zurich & ETH Zurich.
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Journal Article
Superfluidity of Grain Boundaries in Solid $^4$He
Nikolay Prokofiev,Lode Pollet,Massimo Boninsegni,Anatoly Kuklov,Boris Svistunov,Matthias Troyer +5 more
TL;DR: This article showed that grain boundaries in 4He crystals are generically superfluid at low temperature, with a transition temperature of the order of approximately 0.5 K at the melting pressure; nonsuperfluid grain boundaries are found only for special orientations of the grains.
Journal ArticleDOI
Absence of a structural glass phase in a monoatomic model liquid predicted to undergo an ideal glass transition
TL;DR: In this paper, numerically a monodisperse model of interacting classical particles predicted to exhibit a static liquid-glass transition was studied and shown to not freeze into a glassy phase at low temperatures.
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Density functional theory versus quantum Monte Carlo simulations of Fermi gases in the optical-lattice arena
Sebastiano Pilati,Sebastiano Pilati,Ilia Zintchenko,Matthias Troyer,Matthias Troyer,Francesco Ancilotto +5 more
TL;DR: In this article, the ground state energies and the density profiles of atomic repulsive Fermi gases in optical lattices computed via Density Functional Theory (DFT) against the results of diffusion Monte Carlo (DMC) simulations are compared.
Publishing Provenance-rich Scientific Papers.
TL;DR: The experience in preparing and publishing two specific executable papers where the VisTrails workflow system was used to embed full provenance information of the paper is reported on and open challenges and issues the authors encountered are discussed.
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High-throughput ab initio reaction mechanism exploration in the cloud with automated multi-reference validation.
Jan P. Unsleber,Hongbin Liu,Leopold Talirz,Thomas Weymuth,Maximilian Mörchen,Adam Grofe,Dave Wecker,Christopher J. Stein,Ajay Panyala,Bo Peng,Karol Kowalski,Matthias Troyer,Markus Reiher +12 more
TL;DR: The AutoRXN workflow as mentioned in this paper is an automated workflow for exploratory high-throughput electronic structure calculations of molecular systems, in which density functional theory methods are exploited to deliver minimum and transition-state structures and corresponding energies and properties, coupled cluster calculations are then launched for optimized structures to provide more accurate energy and property estimates.