Results 151 to 160 of about 3,891,671 (285)

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Stable Liquid-Metal-Based Magnetic Droplet Robot Enabled by ATRP-Grafted PMMA on Cobalt Ferrite Particles. [PDF]

ACS Omega
Dong Y, Zhao J, Lv Y, Wang C, Mao M, Ping Z, Yang Y, Xu W, Zhang L, Kan F, Xie F.   +10 more
europepmc   +1 more source

Versatile Standing Wave Generation Between Arbitrarily Oriented Surfaces Using Acoustic Metasurface Deflectors and Retroreflectors

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel method for generating versatile standing wave fields using an acoustic metasurface deflector and retroreflector is introduced. By overcoming traditional constraints of parallel surfaces, the approach enables customizable wave patterns and enhances applications in particle manipulation.
Chadi Ellouzi, Farhood Aghdasi, Ali Zabihi, Amir K. Miri, Chen Shen   +4 more
wiley   +1 more source

Dynamic Operations in Macromolecular Data Storage

Angewandte Chemie, EarlyView.
With the exponential growth of digital data and the limitations of conventional silicon‐based storage and computing technologies, macromolecular data storage, the practice of encoding digital information within large, complex molecules like DNA or synthetic polymers, has emerged as a scalable and sustainable alternative to traditional digital ...
Jakub Ossowski, Oskar Affenberger, Jean‐François Lutz, Maria Nerantzaki   +3 more
wiley   +2 more sources

Reconfigurable assembly, disassembly, and self-propulsion of microparticles via optoelectronic tweezers. [PDF]

Microsyst Nanoeng
Wang A, Wang Z, Niu W, Ni C, Huang S, Wang C, Tan M, Zhang L, Feng L.   +8 more
europepmc   +1 more source

Collaborative Visual Localization for Modular Self‐Reconfigurable Robots

Advanced Intelligent Systems, EarlyView.
Relative localization in modular self‐reconfigurable robots is challenged by hardware limitations, constrained fields of view, and sensor faults. This paper, based on the SnailBot platform, presents a vision‐based collaborative localization method that combines ArUco markers with learning‐based algorithms to enable robust pose estimation from ...
Guanqi Liang, Rong Ou, Peiqi Wang, Xianghong Wang, Tin Lun Lam   +4 more
wiley   +1 more source

Reprogrammable Phase-Transition Composites for Adaptive Dynamic Shape Morphing. [PDF]

Adv Sci (Weinh)
Zhong Y, Tang W, Guo X, Qin K, Zhu P, Sheng Q, Wang Y, Yang H, Zou J.   +8 more
europepmc   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Agile legged locomotion in reconfigurable modular robots. [PDF]

Proc Natl Acad Sci U S A
Yu C, Matthews D, Wang J, Gu J, Blackiston D, Rubenstein M, Kriegman S.   +6 more
europepmc   +1 more source

Overcoming the Phase Discontinuity Problem in RIS Optimization: A Robust and Scalable Phase‐Aware Deep Regression Framework via Hybrid CNN–LSTM Architecture

Advanced Intelligent Systems, EarlyView.
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen, Ali Çalhan, Murtaza Cicioğlu, Oğuzhan Demiryürek   +3 more
wiley   +1 more source