Results 71 to 80 of about 224,966 (246)

Design Principles for Deployable Fibers Inspired by Hagfish Defense

Advanced Science, EarlyView.
Hagfish slime deploys fibers from coiled skeins to form an ultra‐dilute, water‐trapping network. Inspired by this mechanism, design principles are established for synthetic skeins, fabricated with tightly coiled fibers that unravel under flow. These synthetic skeins demonstrate deployable fibrous networks, highlighting generalizable strategies for ...
Mohammad Tanver Hossain, Wonsik Eom, Pallab Layak, Jeongmin Kim, Carolyn Darling, Andrew Lowe, Douglas S. Fudge, Sameh H. Tawfick, Randy H. Ewoldt   +8 more
wiley   +1 more source

Highly Efficient Discovery of 3D Mechanical Metamaterials via Monte Carlo Tree Search

Advanced Science, EarlyView.
Machine learning (ML), as a data‐driven method, has revolutionized metamaterial design, surpassing traditional intuition‐driven trial‐and‐error methods in both efficiency and performance. Here, MCTS‐AL, an active learning framework integrating finite element simulation (FEM), convolutional neural networks (CNNs), and Monte Carlo Tree Search (MCTS ...
Jiamu Liu, Bo Peng, Weiyun Xu, Ye Wei, Peng Wen   +4 more
wiley   +1 more source

Toward efficient quantum computation of molecular ground‐state energies

AIChE Journal, EarlyView.
Abstract Variational quantum eigensolvers (VQEs) represent a promising approach to computing molecular ground states and energies on modern quantum computers. These approaches use a classical computer to optimize the parameters of a trial wave function, while the quantum computer simulates the energy by preparing and measuring a set of bitstring ...
Farshud Sorourifar, Mohamed Taha Rouabah, Nacer Eddine Belaloui, Mohamed Messaoud Louamri, Diana Chamaki, Erik J. Gustafson, Norm M. Tubman, Joel A. Paulson, David E. Bernal Neira   +8 more
wiley   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

Advanced Intelligent Discovery, EarlyView.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
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, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Prediction of One‐Dimensional Metallicity and π‐Band Superconductivity in Rhodizonate Radical Pancakes

Angewandte Chemie, EarlyView.
Equidistant stacking of radicals is typically unstable due to symmetry‐lowering distortions. We predict that such arrangements can be stabilized by multicentered covalent (“pancake”) bonding and Coulombic repulsion between negatively charged radicals.
Alvaro Lobato, Fernando Izquierdo‐Ruiz, Martin Rahm   +2 more
wiley   +2 more sources

Advancements in Machine Learning for Microrobotics in Biomedicine

Advanced Intelligent Systems, EarlyView.
Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi, Soleiman Hosseinpour, Nasrollah Tabatabaei, Mahmoud Soltani Firouz, Niloufar Zadebana, Richard Nauber, Mariana Medina‐Sánchez   +6 more
wiley   +1 more source

Self‐Organized Multitarget Pursuit in Multi‐Unmanned Aerial Vehicle Systems via Hierarchical Probabilistic Graphical Models

Advanced Intelligent Systems, EarlyView.
Multi‐UAV systems face challenges in adversarial environments due to limited adaptability and interpretability. This study proposes a self‐organized approach using hierarchical probabilistic graphical models with density‐driven parameter estimation.
Yixin Huang, Xiaojia Xiang, Chao Yan, Heda Xu, Tianjiang Hu, Han Zhou   +5 more
wiley   +1 more source