Artificial neural networks applied to colorimetric nanosensors: An undergraduate experience tailorable from gold nanoparticles synthesis to optical spectroscopy and machine … D Revignas, V Amendola Journal of Chemical Education 99 (5), 2112-2120, 2022 | 24 | 2022 |
Interplay of particle morphology and director distortions in nematic fluids D Revignas, A Ferrarini Physical Review Letters 125 (26), 267802, 2020 | 8 | 2020 |
Spontaneous twisting of achiral hard rod nematics D Revignas, A Ferrarini Physical Review Letters 130 (2), 028102, 2023 | 7 | 2023 |
Microscopic modelling of nematic elastic constants beyond Straley theory D Revignas, A Ferrarini Soft Matter 18 (3), 648-661, 2022 | 7 | 2022 |
From bend to splay dominated elasticity in nematics D Revignas, A Ferrarini Crystals 11 (7), 831, 2021 | 6 | 2021 |
On the elusive saddle–splay and splay–bend elastic constants of nematic liquid crystals D Revignas, A Ferrarini The Journal of Chemical Physics 159 (3), 2023 | 3 | 2023 |
Molecular shape, elastic constants and spontaneous twist in chiral and achiral nematics: insights from a generalised Maier–Saupe framework D Revignas, A Ferrarini Liquid Crystals, 1-21, 2024 | 1 | 2024 |
Elasticity of lyotropic nematic liquid crystals: a review of experiments, theory and simulation S Varytimiadou, D Revignas, F Giesselmann, A Ferrarini Liquid Crystals Reviews 12 (1), 57-104, 2024 | | 2024 |
Curvature, flexibility and orientational fluctuations: how molecular features translate into elastic properties and mesoscale structure in nematics D Revignas Padua University, 2023 | | 2023 |