Results 81 to 90 of about 20,135,100 (276)

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

Ionic Gating of Liquid‐Crystal‐Like Pteridine Assemblies Enables Tunable Light Scattering

Advanced Materials, EarlyView.
Tunable optical properties emerge through developmentally regulated ionic gating, which transforms disordered, ultraviolet (UV)‐absorbing organelles into concentrically ordered, liquid‐crystal‐like light scatterers. By integrating analyses of pteridine composition, potassium‐dependent assembly, hierarchical ultrastructure, and optical behavior, the ...
Sourabh Bera, Zohar Eyal, Yael Noy, Yuval Barzilay, Siddharth Sahoo, Srikant Moharana, Avi Baram, Tali Lerer‐Goldshtein, Neta Varsano, Bar Bader, Lothar Houben, Uwe Heinig, Iddo Pinkas, Moshe Goldsmith, Tamar Unger, Shira Albeck, Andrea Sorrentino, Maxim Itkin, Sergey Malitsky, Ziv Porat, Ido Hadar, Venkata Jayasurya Yallapragada, Dvir Gur   +22 more
wiley   +1 more source

FEM and FVM Methods for Design and Manufacturing of Hierarchical Aerospace Composites: A Review

Applied Sciences
The manufacturing of multiscale composite structures in aerospace engineering is governed by complex interactions among material heterogeneity, fluid rheology, and multiphysics phenomena—including thermal, chemical, electrical, and mechanical effects ...
Hatim Alotaibi, Constantinos Soutis, Masoud Jabbari   +2 more
doaj   +1 more source

Nonplanar Bouligand Architectures for Enhanced Mechanical Performance in Cementitious Composites

Advanced Materials, EarlyView.
Inspired by the impact region of the Mantis shrimp dactyl club, nonplanar additive manufacturing translates sinusoidal Bouligand architectures into cementitious composites. Printing‐induced anisotropy and architected interfaces promote distributed damage and arrest crack propagation, enhancing strength and energy absorption.
Yu Wang, Loukham Shyamsunder, Phani Saketh Dasika, Andrew Nguyen, David Kisailus, Jan Olek, Jeffrey P. Youngblood, Pablo D. Zavattieri   +7 more
wiley   +1 more source

A Hybrid Computational Approach for Singularly Perturbed Parabolic Differential Equations Involving Small Negative Shift Parameters

International Journal of Mathematics and Mathematical Sciences
The present paper addresses the numerical computation of singularly perturbed differential equations incorporating small negative shift parameters in the convection and reaction terms.
Amare Worku Demsie, Awoke Andargie Tiruneh, Endalew Getnet Tsega   +2 more
doaj   +1 more source

Generalized multiscale finite element methods: Oversampling strategies

, 2014
In this paper, we propose oversampling strategies in the generalized multiscale finite element method (GMsFEM) framework. The GMsFEM, which has been recently introduced in Efendiev et al. (2013b) [Generalized Multiscale Finite Element Methods, J. Comput.
Presho, Michael, Efendiev, Yalchin, Li, Guanglian, Efendiev, Yalchin R., Galvis, Juan   +4 more
core   +1 more source

Giant Anisotropic Spin Absorption in Chiral Hybrid Semiconductors

Advanced Materials, EarlyView.
Researchers uncover that chiral hybrid organic–inorganic semiconductors absorb spin differently depending on its polarization direction. This anisotropic spin absorption is primarily driven by the local symmetry breaking within the layered structure.
Cong Yang, Rui Sun, Mingwei Ge, Shehzad Khan, Subhrangsu Mukherjee, Matthew P. Hautzinger, Tianyou Lu, Harald Ade, Pius M. Theiler, Matthew C. Beard, Dali Sun, Mengxia Liu, Jun Liu   +12 more
wiley   +1 more source

Computational blood flow modeling: A multiscale constitutive framework

, 2023
This study presents and discusses a multiscale constitutive framework for 1D blood flow modeling. By analyzing the proposed model’s asymptotic limits, it is demonstrated that different blood propagation phenomena can be described by selecting scaling ...
Pareschi Lorenzo, Bertaglia Giulia
core  

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

A Noninvasive Approach to Study Localized Forces in 3D Epithelia

Advanced Materials, EarlyView.
Epithelial morphogenesis depends on dynamic mechanical coupling between adhesion complexes and the cytoskeleton, yet its regulation in polarized 3D tissues remains elusive. We developed a noninvasive strategy using cell‐like elastic microbeads to quantify local forces in intact epithelia.
Niels Gouirand, Muhamet Ibrahimi, Claire Valotteau, Brice Lecouffe, André Le Bivic, Dominique Massey‐Harroche, Felix Rico, Matthias Merkel, Delphine Delacour, Elsa Bazellières   +9 more
wiley   +1 more source