Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.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
On one-dimensional stochastic control problems: applications to investment models [PDF]
The paper provides a systematic way for finding a partial differential equation that characterize directly the optimal control, in the framework of one?dimensional stochastic control problems of Mayer, with no constraints on the controls.
Ricardo Josa-Fombellida +1 more
core
Flax Composites With Improved Interfacial Strength Through Microbially Induced Mineral Precipitation
Advanced Materials, EarlyView.A bio‐inspired biomineralization strategy introduces an additional hierarchy to flax fiber composites. By controlling microbe‐mediated mineral particle deposition through tuned salt concentrations, stress transfer within the natural fiber composite is enhanced.
Deniz Sayinbas +5 more
wiley +1 more source
Atomic‐Scale Detection of Néel Vector Switching in the Single‐Layer A‐Type Antiferromagnet Cr2S3‐2D
Advanced Materials, EarlyView.Interfacial electron donation from graphene redistributes charge within single‐layer Cr2S3‐2D, preferentially accumulating at the lower Cr/S plane. The resulting minute magnetic imbalance lifts the equivalence of the two magnetic sublayers, enabling atomic‐resolution identification and field‐induced control of Néel‐vector states in a two‐dimensional A ...
Affan Safeer +11 more
wiley +1 more source
On equivalence notions for discrete-time stochastic control systems
, 2015 In this paper we propose definitions of equivalence via stochastic bisimulation and of equivalence of stochastic external behavior for the class of discrete-time stochastic nonlinear control systems with possibly degenerate distributed disturbances.
van der Schaft, Arjan J. +8 more
core +1 more source
Breaking the Surface: Buoyant Metal–Polymer Open–Cell Hybrid Lattice Metamaterials
Advanced Materials, EarlyView.Open‐cell metal–polymer lattice metamaterials that defy sinking. (a) Injection process of the polyurethane (PU) foam into the titanium (Ti‐6Al‐4V) hollow‐strut lattice creating the open‐cell Ti‐6Al‐4V+PU hybrid lattice, (b) flotation test of a hybrid lattice specimen, and (c) a digital representation and experimental validation of a marine buoy ...
Jordan Noronha +7 more
wiley +1 more source
Stochastic model predictive control of LPV systems via scenario optimization [PDF]
, 2013 A stochastic receding-horizon control approach for constrained Linear Parameter Varying discrete-time systems is proposed in this paper. It is assumed that the time-varying parameters have stochastic nature and that the system's matrices are bounded but ...
FAGIANO, LORENZO MARIO +4 more
core +1 more source
Moiré‐Induced Symmetry Breaking of Charge Order in van der Waals Heterostructures
Advanced Materials, EarlyView.A uniaxial moiré potential in misfit (MS)1+δTaS2 heterostructures selectively reshape charge order: the embedded 1H‐TaS2 layer hosts an incommensurate charge‐density wave, fragmented into nanometer domains and stripped of threefold symmetry. Superconductivity, however, remains uniform and fully gapped, revealing heterosymmetry stacking as a selective ...
Sandra Sajan +12 more
wiley +1 more source
Theory of Stochastic Optimal Economic Growth [PDF]
This paper is a survey of the theory of stochastic optimal economic growth.International Development,
Olson, Lars J., Roy, Santanu
core
Iterative Learning Control Using Stochastic Approximation Theory with Application to a Mechatronic System [PDF]
In this paper it is shown how Stochastic Approximation theory can be used to derive and analyse well-known Iterative Learning Control algorithms for linear systems.
Karimi, Alireza +1 more
core +1 more source