We present our work on a new variational approach for thermodynamic topology optimization of hyperelastic structures: building upon previous works, we follow deriving field equation that describes the evolution density. The problem is consequently solved without need expensive routines. Furthermore, formulation can also be applied to structures which show remarkable difference optimized small d...

Heliothermic technologies are affected by their low density, intermittence and economic competitiveness. Hybrid solar–waste heat power systems can increase plant conversion efficiency generation while reducing intermittence. This study focused on the development of software (AERES) to economically optimize hybrid in terms technology selection, sizing, operating conditions block characteristics....

We extend to the K-SAT and p-XOR-SAT optimization problems the results recently achieved, by introducing the concept of Random MultiOverlap Structure, for the Viana-Bray model of diluted mean field spin glass. More precisely one can prove a generalized bound and an extended variational principle for the free energy per site in the thermodynamic limit. Moreover a trial function implementing ultr...

The sensitivity of the native states of protein-like heteropolymers to mutations modelled as perturbations in the interaction potential between amino acids is studied. The stability threshold against mutations is shown to be zero for random heteropolymers on a lattice in two dimensions, whereas a design procedure modelling evolution produces a non-zero threshold. We introduce an evolution-like ...

Shannon’s rate-distortion curve characterizes optimal lossy compression. I show here that the optimization principle that has to be solved to compute the rate-distortion function can be derived from a least effort principle: minimizing required thermodynamic effort necessitates the minimization of information (compatible with a given fidelity). Retaining less information costs less physical eff...

The values of many of the parameters in climate models are often not known with any great precision. We describe the use of automatic diierentiation to examine the sensitivity of an uncoupled dynamic-thermodynamic sea-ice model to various parameters. We also illustrate the eeectiveness of using these sensitivity derivatives with an optimization algorithm to tune the parameters to maximize the a...

Biogas can be currently considered as an alternative option for electricity production, mainly due to its high energy content (hydrocarbon-rich source), its renewable status and its relatively low utilization cost. Solid Oxide Fuel Cell (SOFC) stacks convert fuel’s chemical energy to electricity with high efficiencies and reveal significant advantages on fuel flexibility combined with lower emi...

The search for reliable and efficient global optimization algorithms for solving phase stability and phase equilibrium problems in applied thermodynamics is an ongoing area of research. In this study, we introduce a new algorithm, MAKHA, which is a hybrid between Monkey Algorithm (MA and Krill Herd Algorithm (KHA). Its performance is compared with the two original algorithms along with Cuckoo S...