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19932026
most citedSchNet - a deep learning architecture for molecules and materials

2.3k citations

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147 papers · 1 filter

cond-mat.soft2022★ 63 cited

Drying of Bio-colloidal Sessile Droplets: Advances, Applications, and Perspectives

Anusuya Pal, Amalesh Gope, Anupam Sengupta

Drying of biologically-relevant sessile droplets, including passive systems (like DNA and proteins), as well as active microbial systems comprising bacteria and algae, have garnere…

nlin.AO2022★ 6 cited

Buffering variability in cell regulation motifs close to criticality

Daniele Proverbio, Arthur N. Montanari, Alexander Skupin +1

Bistable biological regulatory systems need to cope with stochastic noise to fine-tune their function close to bifurcation points. Here, we study stability properties of this regim…

cond-mat.mes-hall2022★ 16 cited

Intrinsic control of interlayer exciton generation rate in van der Waals materials via Janus layers

Engin Torun, Fulvio Paleari, Milorad V. Milosevic +2

We demonstrate the possibility of engineering the optical properties of transition metal dichalcogenide heterobilayers when one of the constitutive layers has a Janus structure. Th…

cond-mat.stat-mech2022★ 3 cited

Integrable hydrodynamics of Toda chain: case of small systems

Aritra Kundu

Passing from a microscopic discrete lattice system with many degrees of freedom to a mesoscopic continuum system described by a few coarse-grained equations is challenging. The com…

physics.optics2022★ 49 cited

Magnetoplasmonics: current challenges and future opportunities

Nicolò Maccaferri, Alessio Gabbani, Francesco Pineider +3

Plasmonics represents a unique approach to confine and enhance electromagnetic radiation well below the diffraction limit, bringing a huge potential for novel applications, for ins…

cond-mat.mtrl-sci2022★ 5 cited

Investigating the Electromechanical Behavior of Unconventionally Ferroelectric -based Capacitors Through Operando Nanobeam X-ray Diffraction

Evgenios Stylianidis, Pranav Surabhi, Ruben Hamming-Green +13

Understanding various aspects of ferroelectricity in hafnia-based nanomaterials is of vital importance for the development of future non-volatile memory and logic devices. Here, th…