Results 171 to 180 of about 1,729,244 (310)

Recomposable Layered Metasurfaces for Wavelength‐Multiplexed Optical Encryption via Modular Diffractive Deep Neural Networks

Advanced Functional Materials, EarlyView.
Modular diffractive deep neural network metasurfaces encode and reconstruct holograms across layer combinations and wavelengths, enabling secure, multifunctional operation. Each layer acts independently yet composes jointly, yielding up to m(2N −1) channels for m wavelengths and N layers.
Cherry Park, Youngsun Jeon, Seokho Lee, Yeseul Kim, Junsuk Rho   +4 more
wiley   +1 more source

Block Copolymers: Emerging Building Blocks for Additive Manufacturing

Advanced Functional Materials, EarlyView.
This review addresses how block copolymer (BCP) physics and rheology have led to the widespread use of BCPs in advanced additive manufacturing techniques, with particular emphasis on the untapped potential of these nanostructured materials toward achieving multi‐scale architected materials with unique, programmable material properties.
Alice S. Fergerson, Hemish B. Thakkar, Jiaen Wu, Emily C. Davidson   +3 more
wiley   +1 more source

Membrane Wrapping for High Capacity and Rapidly Switchable Adhesives

Advanced Functional Materials, EarlyView.
A membrane‐wrapping mechanism enables high‐capacity, rapidly switchable adhesion by coupling suction, friction, and adhesion. Broadband performance is achieved in dry and underwater conditions, allowing fast, reversible manipulation of objects of diverse sizes and shapes, from delicate eggs and berries to flat, complex, or heavy objects. These outcomes
Yeunhee Kim, Camryn A. Mills, Michael D. Bartlett   +2 more
wiley   +1 more source

Predicting Atomic Charges in MOFs by Topological Charge Equilibration

Advanced Functional Materials, EarlyView.
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi, Sumukh Shankar Sharadaprasad, Rochus Schmid   +2 more
wiley   +1 more source

Switchable Supramolecular Adhesive by Tuning Interfacial Bonding and Modulus

Advanced Functional Materials, EarlyView.
The supramolecular adhesive (HyDiP) shows reversible adhesion and recyclability. In the dehydrated state, it is dense, stiff (E ≈445 MPa), transparent, and provides strong bonding with adhesion strengths up to 4.65 MPa. In the hydrated state, it becomes porous, soft (E ≈0.11 MPa), and detaches easily, enabling sustainable high‐strength applications ...
Rumin Fu, Cairong Xiao, Zihao Du, Changhong Linghu, Yongdong Shi, Chuyang Xiang, Mingxin Wan, Guoxin Tan, Limin Lu, Chengyun Ning, K Jimmy Hsia   +10 more
wiley   +1 more source

Scalable time-constrained planning of multi-robot systems. [PDF]

Auton Robots, 2020
Nikou A, Heshmati-Alamdari S, Dimarogonas DV.   +2 more
europepmc   +1 more source

Encoding Magnetic Anisotropies in Digital Light Processing 3D Printing

Advanced Functional Materials, EarlyView.
A hybrid magnetic device—combining a coaxial coil within a nested Halbach array—is presented, integrated into a DLP 3D printer to enable spatially resolved magnetic field control. This system enables complex, multimodal responses by programming liquid crystal elastomer resins for magnetic and thermal actuation, and by inducing electrically conductive ...
Eléonore Aïdonidis, Andrea Cosola, Pierre Bourdon, Hichem Dammak, Marco Sangermano, Frédéric Demoly, Marco Faustini, Amélie Pérot, Didier Lairez, Rakine Mouhoubi, Sébastien Blanquer, Giancarlo Rizza   +11 more
wiley   +1 more source

An Evaluation Model for Information Distribution in Multi-Robot Systems. [PDF]

Sensors (Basel), 2020
Barciś M, Barciś A, Hellwagner H.
europepmc   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

Planned synchronization for multi-robot systems with active observations. [PDF]

Auton Robots
Zhong P, Rossi F, Shell DA.
europepmc   +1 more source