Results 141 to 150 of about 121,135,969 (308)

Correlated Charge Transport in an Organic Coulomb Glass

open access: yesAdvanced Materials, EarlyView.
ABSTRACT Advances in the development of organic field‐effect transistors (OFETs), electrically gated organic semiconductors (EGOFETs), and organic electrochemical transistors (OECTs) allow for the operation of these devices at very high charge‐carrier densities, where Coulomb interactions between carriers can be expected to become significant.
Magdalena Sophie Dörfler   +3 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced 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

Measuring the Hall Effect in Hysteretic Materials

open access: yesAdvanced Materials, EarlyView.
The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya   +6 more
wiley   +1 more source

A priori estimate for a singularly perturbed mixed-order boundary value problem

open access: yes, 2000
In this paper we study mixed-order (Douglis-Nirenberg) boundary value problems which depend on a real parameter but which are not elliptic with parameter in the sense of Agmon-Agranovich-Vishik.
Denk, Robert, Volevič, Leonid R.
core   +1 more source

1T‐to‐2H Phase Evolution During Epitaxial Growth of Transition Metal Dichalcogenides

open access: yesAdvanced Materials, EarlyView.
During MOCVD growth of MoS2 and WSe2, a transient metallic 1T phase emerges in early, edge‐rich, chalcogen‐deficient domains and declines as the films ultimately coalesce as 2H material. Together, experiments and ReaxFF simulations link domain size, edge stoichiometry, and vacancies to this evolution.
Andrew R. Graves   +8 more
wiley   +1 more source

Leveraging Mechanical Resonances for the Selection of Promising Materials in Complex Phase Spaces

open access: yesAdvanced Materials Technologies, EarlyView.
A central challenge in materials science is the design of new functional materials with enhanced performance for targeted applications. This paper demonstrates that “listening” to materials through measuring their mechanical resonances is a rich, and largely untapped, platform for the rapid identification of promising novel compounds and a powerful ...
Christopher A. Mizzi   +4 more
wiley   +1 more source

Spatial Stiffness Programming in Single‐Filament Material Extrusion Through Data‐Driven Thermal Foaming

open access: yesAdvanced Materials Technologies, EarlyView.
Single‐filament material extrusion enables spatial stiffness programming through locally controlled thermal foaming of TPU. A data‐driven G‐code framework tunes porosity from 15.7% to 40.7% and hardness from 90 to 63 Shore A within and across layers. Monolithic hands and soft actuators consequently achieve distinct programmed motions without material ...
Rosanna Rifino   +3 more
wiley   +1 more source

High‐Density Magnetomyography With Optical Magnetometers Reveals Spatiotemporal Patterns of Evoked Muscle Activity

open access: yesAdvanced Materials Technologies, EarlyView.
Optically pumped magnetometers are employed to contactlessly map the spatiotemporal dynamics of the magnetic field linked to electrical activity of a skeletal muscle in vivo. It is demonstrated that localization of the clinically relevant innervation zone is feasible using this non‐invasive magnetic measurement modality. ABSTRACT Magnetomyography (MMG)
Simon Nordenström   +12 more
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat   +4 more
wiley   +1 more source

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