Results 91 to 100 of about 71,849 (256)
Actuation of Cell Layers in Three Dimensions
Advanced Materials, EarlyView.ABSTRACT The alignment of fibers and cells in living tissues affect their mechanical properties and functionality. In this context, one can draw an analogy between tissues and nematic liquid crystal elastomers. We explore this analogy by growing fibroblasts on 2D‐patterned substrates and observing the contraction of cell sheets upon detachment from the
Kirsten Endresen +6 more
wiley +1 more source
Inverse Design of Amorphous Materials With Targeted Properties
Advanced Materials, EarlyView.AMDEN is a diffusion model framework for the inverse design of amorphous materials with targeted properties. By incorporating Hamiltonian Monte Carlo refinement into the denoising process, the framework overcomes the challenge of generating thermally relaxed disordered structures.
Jonas A. Finkler +4 more
wiley +1 more source
Why Is the Mechanism Underlying the Chiral‐Induced Selectivity Effect Still Challenging?
Advanced Materials, EarlyView.The chiral‐induced spin selectivity (CISS) effect is observed in many experimental configurations and for different materials. However, there are theoretical challenges in attempting to explain those results. A qualitative framework for explaining all the results is presented.
Ron Naaman, Yossi Paltiel
wiley +1 more source
Perfect Matching Complexes of Polygonal Line Tiling
The perfect matching complex of a simple graph G is a simplicial complex having facets (maximal faces) as the perfect matchings of G. This article discusses the perfect matching complex of polygonal line tiling and the $\left(2 \times n\right)$-grid ...
Chandrakar, Himanshu, Singh, Anurag
core
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
Advanced Materials, EarlyView.This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
Advances in Magnesium‐Based Thermoelectrics: A Critical Review
Advanced Materials, EarlyView.Magnesium‐based thermoelectric materials have emerged as promising candidates for low‐to‐mid‐temperature energy conversion due to their abundance, low cost, and competitive performance. This review summarizes recent advances in Mg3X2, MgAgSb, and Mg2X systems, covering transport mechanisms, fabrication strategies, stability challenges, and device ...
Li‐Min Zhang +5 more
wiley +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Advanced Materials, EarlyView.Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
Weighted inverse maximum perfect matching problems under the Hamming distance
, 2013 National Natural Science Foundation of China [11001232]; Fundamental Research Funds for the Central Universities [2010121004]Given an undirected network G(V, E, c) and a perfect matching M (0), the inverse maximum perfect matching problem is to modify ...
Yao, Enyu, 刘龙城, Liu, Longcheng
core
Programmable Stepwise Heteroepitaxial Growth of Colloidal Crystals With Different Phases
Advanced Materials, EarlyView.Stepwise heteroepitaxial growth is adapted to colloidal crystal engineering with DNA, enabling face‐centered cubic (fcc) facets to grow on body‐centered cubic (bcc) crystals with 110 facets. This approach tolerates large lattice mismatches, extending heteroepitaxy beyond the limits of conventional atomic systems.
Xiaowei Liu +9 more
wiley +1 more source
Advanced Materials, EarlyView.We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano +5 more
wiley +1 more source