activity
20242026
most citedAccurate and efficient machine learning interatomic potentials for finite temperature modeling of molecular crystals

11 citations · 61 across the 11 of their papers we have counts for

collaborators
Showing cond-mat.mtrl-sciShow all

5 papers · 1 filter

cond-mat.mtrl-sci2026

Towards viable H storage in Ca decorated low-dimensional materials with insights from reference quantum Monte Carlo

Yasmine S. Al-Hamdani, Dario Alfè, Andrea Zen

Hydrogen technology is set to be a key energy alternative for mitigating pollution and reducing CO emissions. However, the current storage mechanism of hydrogen molecules in ca…

cond-mat.mtrl-sci2026★ 1 cited

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…

cond-mat.mtrl-sci2024★ 8 cited

A brief introduction to the diffusion Monte Carlo method and the fixed-node approximation

Alfonso Annarelli, Dario Alfè, Andrea Zen

Quantum Monte Carlo (QMC) methods represent a powerful family of computational techniques for tackling complex quantum many-body problems and performing calculations of stationary…

cond-mat.mtrl-sci2024★ 5 cited

On the increase of the melting temperature of water confined in one-dimensional nano-cavities

Flaviano Della Pia, Andrea Zen, Venkat Kapil +3

Water confined in nanoscale cavities plays a crucial role in everyday phenomena in geology and biology, as well as technological applications at the water-energy nexus. However, ev…

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…