Results 91 to 100 of about 35,563 (212)
This review comprehensively outlines how Ti3C2Tx MXene transforms carbon fiber from a structural component into a multifunctional platform. We systematically detail cutting‐edge modification strategies and showcase exceptional performance in EMI shielding, energy storage, smart sensing, and beyond.
Hongshuo Cao +6 more
wiley +1 more source
Rational design and synthesis of new acetamide-indole-benzo[d]imidazole-carboxylic acid hybrids as dual PTP1B/α-glucosidase inhibitors. [PDF]
Dastyafteh N +11 more
europepmc +1 more source
This study integrates hybrid density functional theory, Boltzmann transport theory, and machine learning to accelerate the discovery of lead‐free halide double perovskites for thermoelectric energy conversion. By screening 102 compounds, the authors identify high‐performing candidates such as Rb2GeI6 and Cs2SnBr6, offering a sustainable pathway toward ...
Souraya Goumri‐Said +2 more
wiley +1 more source
Autonomous codesign and fabrication of multistimuli-responsive material systems. [PDF]
Wang L +4 more
europepmc +1 more source
Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?
ABSTRACT The study aims to explore the network topology of the international commodity market by examining the interconnections among 21 commodity futures across various categories, including energy, precious and industrial metals, and agriculture. We analyze the market structure of these commodity futures under both low and high uncertainty conditions
Ibrahim Yagli, Bayram Deviren
wiley +1 more source
Tight Bounds Between the Jensen-Shannon Divergence and the Minmax Divergence. [PDF]
Akopyan A +3 more
europepmc +1 more source
Double construction for monoidal categories
Christian Kassel, V. Turaev
semanticscholar +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Network rewiring conserves the topology of drought-impaired food webs. [PDF]
Ma A, Kratina P, Ledger ME, O'Gorman EJ.
europepmc +1 more source
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source

