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Guillaume Laurent

Publications and source records attributed to Guillaume Laurent.

7 recordsLinked to original sources

Constraint-Free Static Modeling of Continuum Parallel Robot

Continuum parallel robots (CPR) combine rigid actuation mechanisms with multiple elastic rods in a closed-loop topology, making forward statics challenging when rigid--continuum junctions are enforced by explicit kinematic constraints. Such constraint-based formulations typically introduce additional algebraic variables and complicate both numerical solution and downstream control. This paper presents a geometric exact, configuration-based and constraint-free static model of CPR that remains valid under geometrically nonlinear, large-deformation and large-rotation conditions. Connectivity constraints are eliminated by kinematic embedding, yielding a reduced unconstrained problem. Each rod of CPR is discretized by nodal poses on SE(3), while the element-wise strain field is reconstructed through a linear strain parameterization. A fourth-order Magnus approximation yields an explicit and geometrically consistent mapping between element end poses and the strain. Rigid attachments at the motor-driven base and the end-effector platforms are handled through kinematic embeddings. Based on total potential energy and virtual work, we derive assembly-ready residuals and explicit Newton tangents, and solve the resulting nonlinear equilibrium equations using a Riemannian Newton iteration on the product manifold. Experiments on a three-servomotor, six-rod prototype validate the model by showing good agreement between simulation and measurements for both unloaded motions and externally loaded cases.

cs.RO↗

Unveiling the Interstitial Pressure Between Growing Ice Crystals During Ice-Templating Using a Lipid Lamellar Probe

What is pressure generated by ice crystals during ice-templating? This work addresses this crucial question by estimating the pressure exerted by oriented ice columns on a supramolecular probe composed of a lipid lamellar hydrogel during directional freezing. This process, also known as freeze-casting, has emerged as a unique processing technique for a broad class of organic, inorganic, soft and biological materials. Nonetheless, the pressure exerted during and after crystallization between two ice columns is not known, despite its importance with respect to the fragility of the frozen material, especially for biological samples. By using the lamellar period of a glycolipid lamellar hydrogel as a common probe, we couple data obtained from ice-templated-resolved in situ synchrotron Small Angle X-ray Scattering (SAXS) with data obtained from controlled adiabatic dessication experiments. We estimate the pressure to vary between 1 $\pm$ 10% kbar at-15{\textdegree}C and 3.5 $\pm$ 20% kbar at-60{\textdegree}C.

cond-mat.soft↗

Hybrid KTP-plasmonic nanostructures for enhanced nonlinear optics at the nanoscale

The search for miniaturized components for nonlinear optical processes needs a way to overcome the efficiency loss due to the effective size reduction of the active medium. We investigate here a combination of a nanosized nonlinear dielectric crystal and metallic nanoantennas that benefits from both the intrinsic nonlinear conversion efficiency of the nonlinear medium and the local-field enhancement of plasmonic resonances in metallic nanostructures. Careful comparison between experiments and numerical simulations reveals that the observed 10 to 1000 fold enhancement in Second Harmonic Generation intensity between isolated elements and their hybrid structure can be attributed unequivocally to the field enhancement effect of plasmonic resonances on the nonlinear crystal for gold - crystal structures, while the enhancement observed in aluminum-based hybrid structures is attributed to linear dielectric effect on the plasmonic antennas.

physics.optics↗

Photon-pair production at the nanoscale with hybrid nonlinear/plasmonic antennas

Integration of photon pairs nanosources is a major challenge for quantum technology. In this context, we develop a formalism for the investigation of Spontaneous Parametric Down Conversion in hybrid structures that combine plasmonic resonances and intrinsic nonlinearity. Using quantum and numerical approaches together, we quantitatively evaluate photon pair correlation measurements for realistic experimental configurations. Hybrid structures embedding a small nanocystal allow for a $10^{3}$ fold increase in pair production compared to the same nanocrystal alone and a photon pair production efficiency close to the best source to date.

physics.optics↗

Examining the Transition from Multiphoton to Optical-Field Photoemission From Silicon Nanostructures

We perform a detailed experimental and theoretical study of the transition from multiphoton to optical-field photoemission from n-doped, single-crystal silicon nanotips. Around this transition, we measure an enhanced emission rate as well as intensity-dependent structure in the photoelectron yield from the illuminated nanostructures. Numerically solving the time-dependent Schrödinger equation (TDSE), we demonstrate that the excess emission derives from the build-up of standing electronic wavepackets near the surface of the silicon, and the intensity dependent structure in this transition results from the increased ponderomotive potential and channel closing effects. By way of time-dependent perturbation theory (TDPT), we then show that the visibility of intensity dependent structure, the transition rate from multiphoton to optical-field emission, and scaling rate at high intensities are all consistent with a narrow band of ground-state energies near the conduction band dominating the emission process in silicon. These results highlight the importance of considering both coherent electron wavepacket dynamics at the emitter surface as well as the ground-state energy distribution when interpreting strong-field photoemission from solids.

cond-mat.mes-hall↗

Wave-mixing origin and optimization in single and compact aluminum nanoantennas

The outstanding optical properties for plasmon resonances in noble metal nanoparticles enable the observation of non-linear optical processes such as second-harmonic generation (SHG) at the nanoscale. Here, we investigate the SHG process in single rectangular aluminum nanoantennas and demonstrate that i) a doubly resonant regime can be achieved in very compact nanostructures, yielding a 7.5 enhancement compared to singly resonant structures and ii) the \(χ_{\perp\perp\perp}\) local surface and \(γ_{bulk}\) nonlocal bulk contributions can be separated while imaging resonant nanostructures excited by a tightly focused beam, provided the \(χ_{\perp\parallel\parallel}\) local surface is assumed to be zero, as it is the case in all existing models for metals. Thanks to the quantitative agreement between experimental and simulated far-field SHG maps, taking into account the real experimental configuration (focusing and substrate), we identify the physical origin of the SHG in aluminum nanoantennas as arising mainly from \(χ_{\perp\perp\perp}\) local surface sources.

physics.optics↗

From calls to communities: a model for time varying social networks

Social interactions vary in time and appear to be driven by intrinsic mechanisms, which in turn shape the emerging structure of the social network. Large-scale empirical observations of social interaction structure have become possible only recently, and modelling their dynamics is an actual challenge. Here we propose a temporal network model which builds on the framework of activity-driven time-varying networks with memory. The model also integrates key mechanisms that drive the formation of social ties - social reinforcement, focal closure and cyclic closure, which have been shown to give rise to community structure and the global connectedness of the network. We compare the proposed model with a real-world time-varying network of mobile phone communication and show that they share several characteristics from heterogeneous degrees and weights to rich community structure. Further, the strong and weak ties that emerge from the model follow similar weight-topology correlations as real-world social networks, including the role of weak ties.

physics.soc-ph↗