activity
20132024
most citedA foundation model for atomistic materials chemistry

249 citations · 359 across the 9 of their papers we have counts for

collaborators

9 papers

cond-mat.soft2024★ 1 cited

Water under hydrophobic confinement: entropy and diffusion

Lorenzo Agosta, Kersti Hermansson, Mikhail Dzugutov

The properties of liquid water are known to change drastically in confined geometries. A most interesting and intriguing phenomenon is that the diffusion of water is found to be st…

physics.chem-ph2024★ 1 cited

Calculated state-of-the art results for solvation and ionization energies of thousands of organic molecules relevant to battery design

Jan Weinreich, Konstantin Karandashev, Daniel Jose Arismendi Arrieta +2

We present high-quality reference data for two fundamentally important groups of molecular properties related to a compound's utility as a lithium battery electrolyte. The first pr…

physics.chem-ph2024★ 249 cited

A foundation model for atomistic materials chemistry

Ilyes Batatia, Philipp Benner, Yuan Chiang +85

Atomistic simulations of matter, especially those that leverage first-principles (ab initio) electronic structure theory, provide a microscopic view of the world, underpinning much…

cond-mat.mtrl-sci2023★ 5 cited

The entropic origin of the enhancement of liquid diffusion at the confining wall

Lorenzo Agosta, Mikhail Dzugutov, Wim Briels +1

We report a molecular dynamics simulation investigating the dynamics of a simple liquid in the proximity to a non-interacting smooth confining wall. A strong enhancement of the liq…

physics.chem-ph2023★ 18 cited

Reducing Training Data Needs with Minimal Multilevel Machine Learning (M3L)

Stefan Heinen, Danish Khan, Guido Falk von Rudorff +7

For many machine learning applications in science, data acquisition, not training, is the bottleneck even when avoiding experiments and relying on computation and simulation. Corre…

physics.chem-ph2023★ 5 cited

Evolutionary Monte Carlo of QM properties in chemical space: Electrolyte design

Konstantin Karandashev, Jan Weinreich, Stefan Heinen +4

Optimizing a target function over the space of organic molecules is an important problem appearing in many fields of applied science, but also a very difficult one due to the vast…

cond-mat.mtrl-sci2021

Data Management Plans: the Importance of Data Management in the BIG-MAP Project

Ivano E. Castelli, Daniel J. Arismendi-Arrieta, Arghya Bhowmik +27

Open access to research data is increasingly important for accelerating research. Grant authorities therefore request detailed plans for how data is managed in the projects they fi…

physics.chem-ph2019★ 68 cited

Temperature effects on the ionic conductivity in concentrated alkaline electrolyte solutions

Yunqi Shao, Matti Hellström, Are Yllö +4

Alkaline electrolyte solutions are important components in rechargeable batteries and alkaline fuel cells. As the ionic conductivity is thought to be a limiting factor in the perfo…

cond-mat.mtrl-sci2013★ 12 cited

Comment on "First-principles study of the influence of (110)-oriented strain on the ferroelectric properties of rutile TiO2" [arXiv:1106.2820]

Keith Refson, Barbara Montanari, Pavlin D. Mitev +2

In a recent article, Grünebohm et al. [Phys. Rev. B 84 132105 (2011), arXiv:1106.2820] report that they fail to reproduce the A2u ferroelectric instability of TiO2 in the rutile st…