11 citations · 68 across the 18 of their papers we have counts for
21 papers
Democratizing Atomistic Simulation Workflows for the AI Era with the Quantum Accelerator
Andrew S. Rosen, Naisargi Goyal, Brad Ayers +25
We present the Quantum Accelerator (QuAcc), an open-source workflow library for atomistic simulations with an emphasis on quantum-mechanical calculations. QuAcc provides predefined…
How reproducible are first-principles simulations of liquid water?
Niamh ONeill, Benjamin X. Shi, William J. Baldwin +5
Liquid water is fundamentally important, and its accurate computer simulation has been the driving force for myriad methodological developments. Ab initio molecular dynamics with f…
Assessing the impact of nodal surface optimization in fixed-node diffusion Monte Carlo on non-covalent interactions
Kousuke Nakano, Benjamin X. Shi, Dario Alfè +1
Diffusion quantum Monte Carlo (DMC) and coupled cluster theory [CCSD(T)] are widely-employed benchmark methods for noncovalent interactions (NCIs). However, recent studies have rep…
Practical and accurate density functionals for transition-metal heterogeneous catalysis
Benjamin X. Shi, Timothy C. Berkelbach
Density functional theory (DFT) underpins modern atomistic simulations of transition-metal surfaces. It can predict key properties linked to catalytic performance, such as adsorpti…
From Accurate Quantum Chemistry to Converged Thermodynamics for Ion Pairing in Solution
Niamh O'Neill, Benjamin X. Shi, William C. Witt +6
Quantitative prediction of thermodynamic properties in solution is essential for translating atomistic simulations into reliable chemical insight. As an exemplar system, the behavi…
Efficient first-principles modeling of complex molecular crystals at sub-chemical accuracy
Benjamin X. Shi, Kristina M. Herman, Flaviano Della Pia +5
Molecules can form myriad crystalline polymorphs, each with distinct properties affecting their performance across diverse applications, from pharmaceuticals to functional material…
MACE-POLAR-1: A Polarisable Electrostatic Foundation Model for Molecular Chemistry
Ilyes Batatia, William J. Baldwin, Domantas Kuryla +10
Accurate modelling of electrostatic interactions and charge transfer is fundamental to computational chemistry, yet most machine learning interatomic potentials (MLIPs) rely on loc…
Towards Routine Condensed Phase Simulations with Delta-Learned Coupled Cluster Accuracy: Application to Liquid Water
Niamh O'Neill, Benjamin X. Shi, William Baldwin +5
Simulating liquid water to an accuracy that matches its wealth of available experimental data requires both precise electronic structure methods and reliable sampling of nuclear (q…
Accurate and efficient machine learning interatomic potentials for finite temperature modeling of molecular crystals
Flaviano Della Pia, Benjamin X. Shi, Venkat Kapil +3
As with many parts of the natural sciences, machine learning interatomic potentials (MLIPs) are revolutionizing the modeling of molecular crystals. However, challenges remain for t…
Reproducibility of fixed-node diffusion Monte Carlo across diverse community codes: The case of water-methane dimer
Flaviano Della Pia, Benjamin X. Shi, Yasmine S. Al-Hamdani +30
Fixed-node diffusion quantum Monte Carlo (FN-DMC) is a widely-trusted many-body method for solving the Schrödinger equation, known for its reliable predictions of material and mole…
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…
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…
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…
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…
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…
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…
To Pair or not to Pair? Machine-Learned Explicitly-Correlated Electronic Structure for NaCl in Water
Niamh O'Neill, Benjamin X. Shi, Kara Fong +2
The extent of ion pairing in solution is an important phenomenon to rationalise transport and thermodynamic properties of electrolytes. A fundamental measure of this pairing is the…
Going for Gold(-Standard): Attaining Coupled Cluster Accuracy in Oxide-Supported Nanoclusters
Benjamin X. Shi, David J. Wales, Angelos Michaelides +1
The structure of oxide-supported metal nanoclusters plays an essential role in their sharply enhanced catalytic activity over bulk metals. Simulations provide the atomic-scale reso…
Accurate and efficient structure factors in ultrasoft pseudopotential and projector augmented wave DFT
Benjamin X. Shi, Rebecca J. Nicholls, Jonathan R. Yates
Structure factors obtained from diffraction experiments are one of the most important quantities for characterizing the electronic and structural properties of materials. Methods f…
General embedded cluster protocol for accurate modeling of oxygen vacancies in metal-oxides
Benjamin Xu Shi, Venkat Kapil, Andrea Zen +3
The O vacancy (Ov) formation energy, , is an important property of a metal-oxide, governing its performance in applications such as fuel cells or heterogeneous catal…
Direct Imaging of Charge Redistribution due to Bonding at Atomic Resolution via Electron Ptychography
Gerardo T. Martinez, Benjamin X. Shi, Timothy C. Naginey +6
Phase imaging in electron microscopy is sensitive to the local potential, including charge redistribution from bonding. We demonstrate that electron ptychography provides the neces…