activity
20092023
most citedCrystal structure prediction using the Minima Hopping method

306 citations · 2.3k across the 38 of their papers we have counts for

collaborators

39 papers

quant-ph2023★ 5 cited

Quantum-enhanced quantum Monte Carlo: an industrial view

Maximilian Amsler, Peter Deglmann, Matthias Degroote +10

In this work, we test a recently developed method to enhance classical auxiliary-field quantum Monte Carlo (AFQMC) calculations with quantum computers against examples from chemist…

quant-ph2022★ 18 cited

Extending the Variational Quantum Eigensolver to Finite Temperatures

Johannes Selisko, Maximilian Amsler, Thomas Hammerschmidt +2

We present a variational quantum thermalizer (VQT), called quantum-VQT (qVQT), which extends the variational quantum eigensolver (VQE) to finite temperatures. The qVQT makes use of…

cond-mat.mtrl-sci2022★ 1 cited

Effects of thermal, elastic, and surface properties on the stability of SiC polytypes

Senja Ramakers, Anika Marusczyk, Maximilian Amsler +4

SiC polytypes have been studied for decades, both experimentally and with atomistic simulations, yet no consensus has been reached on the factors that determine their stability and…

cond-mat.supr-con2021★ 223 cited

Towards high-throughput superconductor discovery via machine learning

Stephen R. Xie, Y. Quan, Ajinkya Hire +5

Even though superconductivity has been studied intensively for more than a century, the vast majority of superconductivity research today is carried out in nearly the same manner a…

cond-mat.mtrl-sci2021★ 15 cited

Thermal conductivity of CaF at high pressure

Somayeh Faraji, S. Mehdi Vaez Allaei, Maximilian Amsler

We study the thermal transport properties of three CaF polymorphs up to a pressure of 30 GPa using first-principle calculations and an interatomic potential based on machine…

cond-mat.mtrl-sci2021★ 99 cited

Autonomous synthesis of metastable materials

Sebastian Ament, Maximilian Amsler, Duncan R. Sutherland +7

Autonomous experimentation enabled by artificial intelligence (AI) offers a new paradigm for accelerating scientific discovery. Non-equilibrium materials synthesis is emblematic of…