Results 91 to 100 of about 232 (184)

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, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Analytical realization of complex thermal meta-devices. [PDF]

Nat Commun
Li W, Sigmund O, Zhang XS.
europepmc   +1 more source

Phase Engineering of Atomically Precise Nanoclusters (APNCs) of Gold and Beyond

Advanced Materials, EarlyView.
Engineering the structural phase of materials is of paramount importance for both fundamental research and practical applications. In this Review, we summarize the recent progress in controlling the phases of atomically precise nanoclusters (APNCs) of gold, silver and copper, as well as bimetallic systems. The phase‐enabled material properties of APNCs
Yitong Wang, Avirup Sardar, Weijie Ji, Zhongyu Liu, Rongchao Jin   +4 more
wiley   +1 more source

Estimation of Hankel inequalities of symmetric starlike functions in crescent-shaped domains and their application in image processing. [PDF]

Sci Rep
Kanwal B, Iman A, Kanwal S, Alkhalifa AK.   +3 more
europepmc   +1 more source

Monolithic 3D‐Integrated All‐Solid Ion‐Gated Carbon Nanotube Transistors With Tunable Ionic Conductance for Multi‐Timescale Reservoir Computing

Advanced Materials, EarlyView.
A dual‐timescale reservoir based on monolithically 3D (M3D)‐integrated CNT solid ion‐gated transistors is demonstrated. Tunable ionic dynamics and pulse‐engineered operation enable linear and symmetric synaptic updates. The M3D‐integrated array achieves robust temporal encoding and accurate classification of moving MNIST sequences, highlighting its ...
Haksoon Jung, Hanbin Cho, Yongwoo Lee, Seunghun Baek, Hyeongjun Kim, Yun Goo Ro, Hyunhyub Ko, Joonki Suh, Yong‐Young Noh, Jimin Kwon   +9 more
wiley   +1 more source

Resonant Domain Wall Dynamics in a Three‐Dimensional Magnetic Nano Double Helix

Advanced Materials, EarlyView.
3D magnetic nanostructures promise exciting possibilities for magnetization dynamics. However, experimental realizations remain scarce. In nanoprinted cobalt double helices, time‐resolved X‐ray microscopy reveals harmonic domain wall dynamics. Simulations identify the mode and additional higher‐frequency resonances, revealing a rich dynamic landscape ...
Pamela Morales‐Fernández, Iason Konstantinos‐Douveas, Claas Abert, Elina Zhakina, Sandra Ruiz‐Gómez, Claudia Fernández‐González, Luke Alexander Turnbull, Sebastian Wintz, Markus König, Simone Finizio, Markus Weigand, Naëmi Leo, Dieter Suess, Aurelio Hierro‐Rodríguez, Amalio Fernández‐Pacheco, Claire Donnelly   +15 more
wiley   +1 more source

A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era. [PDF]

J Chem Theory Comput
Li Z, Chen X, Wen H, Zhang RQ, Li M, Zhang X, Yin H, Yang Q, Lam KY, Lio P, Yiu SM.   +10 more
europepmc   +1 more source

Accessory parameters in conformal mapping: exploiting the isomonodromic tau function for Painlevé VI. [PDF]

Proc Math Phys Eng Sci, 2018
Anselmo T, Nelson R, Carneiro da Cunha B, Crowdy DG.   +3 more
europepmc   +1 more source

Space‐Time Coding Conformal Metasurfaces for Multifrequency Beam Steering and Shaping

Advanced Materials, EarlyView.
Space‐time coding conformal metasurfaces enable dynamic wave control on curved surfaces by combining programmable spatial patterns with temporal modulation. This study shows that a single conformal aperture can independently manipulate multiple frequency components, achieving multifunctional beam shaping and steering, with implications for ...
Filippo Pepe, Lei Zhang, Yi Ning Zheng, Xiao Qing Chen, Ivan Iudice, Giuseppe Castaldi, Marco Di Renzo, Tie Jun Cui, Vincenzo Galdi   +8 more
wiley   +1 more source

Engineering Layered Magnetic Hydrogels for Cell Placement via Shear and Magnetic Field‐Induced Assembly

Advanced Materials, EarlyView.
Magnetic particles are organized into layered architectures by combining shear flow and magnetic fields, with the resulting structures governed by appropriate Mason numbers. The programmed assemblies provide spatial guidance for cell placement, linking field‐controlled self‐assembly, flow‐induced structuring and biological organization.
Guillermo Camacho, Jose R. Morillas, Jesús García‐Gutiérrez, Stefania Nardecchia, Óscar Martínez‐Cano, Juan de Vicente   +5 more
wiley   +1 more source