activity
20232026
most citedAutomated all-functionals infrared and Raman spectra

27 citations · 83 across the 11 of their papers we have counts for

collaborators

15 papers

cond-mat.mtrl-sci2026

A grand potential for molten-salt electrochemical phase diagrams from first principles

Lorenzo Bastonero, Lucio Colombi Ciacchi, Nicola Marzari

The clean-energy transition is driving unprecedented demand for metals, whose extraction is among the largest industrial sources of carbon emissions. Molten-salt electrolysis offer…

cond-mat.mtrl-sci2026

Extreme anharmonicity determines the superionic transition in the prototypical antifluorite LiO

Lorenzo Bastonero, Chiara Cignarella, Nicola Marzari +1

Superionic conductors are promising electrolyte candidates for all-solid-state batteries, thanks to their liquid-like ionic mobility. In the prototypical lithium-ion oxide superion…

cond-mat.mtrl-sci2026

Experimentally constrained modeling of the Pockels response of KNbO3 and KTaNbO3

Virginie de Mestral, Lorenzo Bastonero, Petr Bednyakov +6

The soft-mode of electro-optic (EO) metal-oxide perovskites plays a critical role in determining their Pockels responses. This is the case of potassium tantalate niobate (KTN), whi…

cond-mat.mtrl-sci2026

Resonant Raman spectroscopies beyond density-functional theory

Aleksandr Poliukhin, Corto Babs Aubry, Lorenzo Bastonero +1

Resonant Raman spectroscopy probes, in a single measurement, how electrons and phonons couple in a material. Density-functional theory (DFT) typically reproduces well phonon freque…

cond-mat.mtrl-sci2026

Predicting challenging phase transitions with Bayesian active learning

Lorenzo Bastonero, Gabriel Joalland, Chiara Cignarella +2

Materials underpin modern technologies, from energy harvesting, storage, and conversion to information and communication technologies. Their functionality is often governed by the…

physics.soc-ph2025

AI4X Roadmap: Artificial Intelligence for the advancement of scientific pursuit and its future directions

Stephen G. Dale, Nikita Kazeev, Alastair J. A. Price +65

Artificial intelligence and machine learning are reshaping how we approach scientific discovery, not by replacing established methods but by extending what researchers can probe, p…

cond-mat.mtrl-sci2025★ 3 cited

Extreme anharmonicity and thermal contraction of 1D wires

Chiara Cignarella, Lorenzo Bastonero, Lorenzo Monacelli +1

Ultrathin nanowires could play a central role in next-generation downscaled electronics. Here, we explore some of the most promising candidates identified from previous high-throug…

cond-mat.mtrl-sci2025★ 1 cited

Making atomistic materials calculations accessible with the AiiDAlab Quantum ESPRESSO app

Xing Wang, Edan Bainglass, Miki Bonacci +23

Despite the wide availability of density functional theory (DFT) codes, their adoption by the broader materials science community remains limited due to challenges such as software…

cond-mat.mtrl-sci2025★ 1 cited

Ab initio functional-independent calculations of the clamped Pockels tensor of tetragonal barium titanate

Virginie de Mestral, Lorenzo Bastonero, Michele Kotiuga +3

We present an ab initio method to calculate the clamped Pockels tensor of ferroelectric materials from density-functional theory, the modern theory of polarization exploiting the e…

cond-mat.mtrl-sci2025★ 9 cited

First-principles Hubbard parameters with automated and reproducible workflows

Lorenzo Bastonero, Cristiano Malica, Eric Macke +4

We introduce an automated, flexible framework (aiida-hubbard) to self-consistently calculate Hubbard and parameters from first-principles. By leveraging density-functional…

cond-mat.mtrl-sci2025★ 9 cited

BaZrS Lights Up: The Interplay of Electrons, Photons, and Phonons in Strongly Luminescent Single Crystals

Rasmus Svejstrup Nielsen, Ángel Labordet Álvarez, Yvonne Tomm +8

Chalcogenide perovskites have emerged as a promising class of materials for the next generation of optoelectronic applications, with BaZrS attracting significant attenti…

cond-mat.supr-con2025★ 10 cited

Charting the landscape of Bardeen-Cooper-Schrieffer superconductors in experimentally known compounds

Marnik Bercx, Samuel Poncé, Yiming Zhang +8

We perform a high-throughput computational search for novel phonon-mediated superconductors, starting from the Materials Cloud 3-dimensional structure database of experimentally kn…

cond-mat.mtrl-sci2023★ 1 cited

First-principles characterization of thermal conductivity in LaPO4-based alloys

Anees Pazhedath, Lorenzo Bastonero, Nicola Marzari +1

Alloys based on lanthanum phosphate (LaPO) are often employed as thermal barrier coatings, due to their low thermal conductivity and structural stability over a wide temperat…

cond-mat.mtrl-sci2023★ 22 cited

Understanding the role of Hubbard corrections in the rhombohedral phase of BaTiO

G. Gebreyesus, Lorenzo Bastonero, Michele Kotiuga +2

We present a first-principles study of the low-temperature rhombohedral phase of BaTiO using Hubbard-corrected density-functional theory. By employing density-functional pertur…

cond-mat.mtrl-sci2023★ 27 cited

Automated all-functionals infrared and Raman spectra

Lorenzo Bastonero, Nicola Marzari

Infrared and Raman spectroscopies are ubiquitous techniques employed in many experimental laboratories, thanks to their fast and non-destructive nature able to capture materials' f…