Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Acoustic standing wave driven bubble dynamics in Oldroyd-B fluids using a semi analytical approach. [PDF]
Alirahimi S +2 more
europepmc +1 more source
Can Elastomers Combine Stiffness, Toughness and Fatigue Resistance?
This review studies how the molecular and macroscopic architecture of elastomers influence their mechanical properties including: stiffness, stretchability, toughness, fatigue resistance, and damping behavior. By linking the structure to performance, it proposes design principles for advanced elastomeric systems that combine mechanical properties ...
Eva Baur, Esther Amstad
wiley +1 more source
Multiscale Viscoelastic Analysis of Asphalt Concrete. [PDF]
Klimczak M.
europepmc +1 more source
Nonreciprocal buckling makes active filaments polyfunctional. [PDF]
Al-Izzi SC +7 more
europepmc +1 more source
Design and Modeling of Piezoelectric Nanofilm Actuators for Low-Voltage Powered Microrobots. [PDF]
Lin J, Chen Z, Liu Q.
europepmc +1 more source
Bidirectional fractional-order dynamics of the microbiota-gut-brain axis in autism spectrum disorder featuring memory effects and inflammation thresholds. [PDF]
Qahiti R +3 more
europepmc +1 more source
Effect of fluid elasticity on the emergence of oscillations in an active elastic filament. [PDF]
Link KG, Guy RD, Thomases B, Arratia PE.
europepmc +1 more source
Revisiting Volterra defects: geometrical relation between edge dislocations and wedge disclinations. [PDF]
Kobayashi S, Takemasa K, Tarumi R.
europepmc +1 more source
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Linearized Elasticity as Γ-Limit of Finite Elasticity
Set-Valued and Variational Analysis, 2002Linearized elastic energies are derived from rescaled nonlinear energies by means of \(\Gamma\)-convergence. For Dirichlet and mixed boundary value problems in a Lipschitz domain \(\Omega\), the convergence of minimizers takes place in the weak topology of \(H^1(\Omega,\mathbb{R}^n)\) and in the strong topology of \(W^{1,q}(\Omega,\mathbb{R}^n)\) for \(
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