activity
20192026
most citedAccurate and efficient machine learning interatomic potentials for finite temperature modeling of molecular crystals

11 citations · 68 across the 18 of their papers we have counts for

collaborators
Showing 2024Show all

6 papers · 1 filter

physics.chem-ph2024★ 8 cited

An accurate and efficient framework for modelling the surface chemistry of ionic materials

Benjamin X. Shi, Andrew S. Rosen, Tobias Schäfer +4

Quantum-mechanical simulations can offer atomic-level insights into chemical processes on surfaces. This understanding is crucial for the rational design of new solid catalysts as…

physics.chem-ph2024★ 11 cited

Systematic discrepancies between reference methods for non-covalent interactions within the S66 dataset

Benjamin X. Shi, Flaviano Della Pia, Yasmine S. Al-Hamdani +3

The accurate treatment of non-covalent interactions is necessary to model a wide range of applications, from molecular crystals to surface catalysts to aqueous solutions and many m…

physics.chem-ph2024★ 9 cited

Basis set incompleteness errors in fixed-node diffusion Monte Carlo calculations on non-covalent interactions

Kousuke Nakano, Benjamin X. Shi, Dario Alfè +1

Basis set incompleteness error (BSIE) is a common source of error in quantum chemistry (QC) calculations, but it has not been comprehensively studied in fixed-node Diffusion Monte…

cond-mat.mtrl-sci2024

Nuclear quantum effects induce superionic proton transport in nanoconfined water

Pavan Ravindra, Xavier R. Advincula, Benjamin X. Shi +3

Recent work has suggested that nanoconfined water may exhibit superionic proton transport at lower temperatures and pressures than bulk water. Using first-principles-level simulati…

cond-mat.mtrl-sci2024★ 1 cited

Cooperative CO capture via oxalate formation on metal-decorated graphene

Inioluwa Christianah Popoola, Benjamin Xu Shi, Fabian Berger +5

CO capture using carbon-based materials, particularly graphene and graphene-like materials, is a promising strategy to deal with CO emissions. However, significant gaps rem…

cond-mat.mtrl-sci2024★ 2 cited

Data-efficient fine-tuning of foundational models for first-principles quality sublimation enthalpies

Harveen Kaur, Flaviano Della Pia, Ilyes Batatia +6

Calculating sublimation enthalpies of molecular crystal polymorphs is relevant to a wide range of technological applications. However, predicting these quantities at first-principl…