activity
20172025
most citedPassive high-yield seawater desalination at below one sun by modular and low-cost distillation

422 citations · 606 across the 7 of their papers we have counts for

collaborators

8 papers

physics.comp-ph2025★ 1 cited

Notes on Quantum Computing for Thermal Science

Pietro Asinari, Nada Alghamdi, Paolo De Angelis +6

This document explores the potential of quantum computing in Thermal Science. Conceived as a living document, it will be continuously updated with experimental findings and insight…

q-bio.BM2024

Pore-level Quantitative Structure-Activity Relationship (QSAR) for Water Permeation Rate in Aquaporins

Juan José Galano-Frutos, Luca Bergamasco, Paolo Vigo +5

Aquaporins (AQPs) and aquaglyceroporins (AQGPs) play a crucial role in regulating water transport and solute selectivity across biological membranes. Besides their biological relev…

cond-mat.mes-hall2024★ 22 cited

Ultrafast nano generation of acoustic waves in water via a single carbon nanotube

Michele Diego, Marco Gandolfi, Alessandro Casto +9

Generation of ultra high frequency acoustic waves in water is key to nano resolution sensing, acoustic imaging and theranostics. In this context water immersed carbon nanotubes (CN…

cond-mat.mtrl-sci2023★ 17 cited

Enhancing ReaxFF for Molecular Dynamics Simulations of Lithium-Ion Batteries: An interactive reparameterization protocol

Paolo De Angelis, Roberta Cappabianca, Matteo Fasano +2

Lithium-ion batteries (LIBs) are crucial for the green economy, powering portable electronics, electric vehicles, and renewable energy systems. The solid-electrolyte interphase (SE…

cond-mat.mtrl-sci2022★ 30 cited

Mesoscopic modeling and experimental validation of thermal and mechanical properties of polypropylene nanocomposites reinforced by graphene-based fillers

Atta Muhammad, Rajat Srivastava, Nikos Koutroumanis +7

The development of nanocomposites relies on structure-property relations, which necessitate multiscale modeling approaches. This study presents a modelling framework that exploits…

cond-mat.mtrl-sci2022★ 78 cited

The impact of physicochemical features of carbon electrodes on the capacitive performance of supercapacitors: A machine learning approach

Sachit Mishra, Rajat Srivastava, Atta Muhammad +4

Hybrid electric vehicles and portable electronic systems use supercapacitors for energy storage owing to their fast charging discharging rates, long life cycle, and low maintenance…

cond-mat.other2021★ 36 cited

Minimal set of crystallographic descriptors for sorption properties in hypothetical Metal Organic Frameworks: Role in sequential learning optimization

Giovanni Trezza, Luca Bergamasco, Matteo Fasano +1

Several studies have been recently reported in the literature on sorption properties of MOFs with a number of organic sorbates, such as ethanol and methanol. Surprisingly, still fe…

cond-mat.other2017★ 422 cited

Passive high-yield seawater desalination at below one sun by modular and low-cost distillation

Eliodoro Chiavazzo, Matteo Morciano, Francesca Viglino +2

Although seawater is abundant, desalination is energy-intensive and expensive. Using the sun as an energy source is attractive for desalinating seawater; however, the performance o…