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20122026
most citedAI for Next Generation Computing: Emerging Trends and Future Directions

681 citations

Showing 2024Show all

5 papers · 1 filter

physics.app-ph2024★ 5 cited

Symmetry-driven Phononic Metamaterials

Simon Yves, Michel Fruchart, Romain Fleury +4

Phonons are quasiparticles associated with mechanical vibrations in materials. They are at the root of the propagation of sound and elastic waves, as well as of thermal phenomena,…

cond-mat.mtrl-sci2024★ 13 cited

Illustrating an Effective Workflow for Accelerated Materials Discovery

Mrinalini Mulukutla, A. Nicole Person, Sven Voigt +26

Algorithmic materials discovery is a multi-disciplinary domain that integrates insights from specialists in alloy design, synthesis, characterization, experimental methodologies, c…

physics.chem-ph2024★ 3 cited

Water Isotope Separation using Deep Learning and a Catalytically Active Ultrathin Membrane

Jinu Jeong, Chenxing Liang, Narayana Aluru

Water isotope separation, specifically separating heavy from light water, is a socially significant issue due to the usage of heavy water in applications such as nuclear magnetic r…

math.DS2024★ 3 cited

Non-reflective traveling waves in finite thin beams: A parametric study

Amirhossein Omidi Soroor, Pablo A. Tarazaga

In the present study, the authors introduce a geometrically improved model inspired by the mammalian basilar membrane's properties and special vibratory behavior while conducting a…

physics.optics2024★ 20 cited

Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning

Wei "Wayne" Chen, Rachel Sun, Doksoo Lee +2

Metamaterials with functional responses can exhibit varying properties under different conditions (e.g., wave-based responses or deformation-induced property variation). This work…