Results 151 to 160 of about 12,747,172 (293)

Multifunctional Neutrophil Nanovesicles Induce Remodeling of Tumor Immune Microenvironment and Synergistic Multimodal Tumor Therapy

Advanced Functional Materials, EarlyView.
Schematic illustration of the engineered RN@FDT for multimodal tumor therapy. a) Fabrication of FD&DOX/TFA‐loaded RGD‐NNV (RN@FDT) and the light‐triggered disassemble of RN@FDT. b) After internalized by tumor cells, RN@FDT are disintegrated under NIR‐II laser irradiation to boost PTT and induce cell apoptosis.
Jiahui Zhang, Cheng Ji, Xin‐Jian Fang, Yu Qian, Jiayuan Shi, Wenhui Liu, Baiyuan Fan, Yuan Zhong, Jiayi Wang, Dan Yu, Maoye Wang, Min Fu, Xiaoxin Zhang, Runbi Ji, Hélder A. Santos, Hongbo Zhang, Xu Zhang   +16 more
wiley   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

From LLM narratives to parameterized cooperation policies in multi-agent systems. [PDF]

Front Artif Intell
de Curtò J, de Zarzà I, Cabot J, Manzoni P, Calafate CT.   +4 more
europepmc   +1 more source

Bio‐Inspired Artificial Ionic Mechanoreceptor

Advanced Functional Materials, EarlyView.
A skin‐inspired artificial mechanoreceptor based on ionic interactions is presented for biomimetic tactile sensing. Pressure‐driven ionic redistribution within microfluidic channels generates a self‐powered electrical signal without external bias. The generated waveform exhibits mechanoreceptor‐like temporal features, including overshoot and undershoot,
Mohammad Akbari, Jeppe Don, Lasse A. N. Pedersen, John Noee, Rassoul Tabassian   +4 more
wiley   +1 more source

Symbolic model checking for multi-agent systems

, 2001
Multi-Agent Systems are increasingly complex, and the problem of their verification and validation is acquiring increasing importance. In this paper we show how a well known and effective verification technique, symbolic model checking, can be ...
Cimatti, Alessandro, Massimo Benerecetti
core  

Fault-Tolerant Formation Tracking Control for Multi-Agent Systems with Bearing-Only Measurement. [PDF]

Sensors (Basel)
Zhao Y, Wang J, Dou L, Zhou M, Ju S.
europepmc   +1 more source

Load Distributing Metamaterials Via Discrete Optimization

Advanced Functional Materials, EarlyView.
Mechanical metamaterials are computationally optimized to homogenize transmitted forces by minimizing the spread of reaction forces. The resulting architectures transform localized loading into broader, more uniform force distributions and experimentally demonstrate robust load spreading under quasi‐static and impact loading.
Andrea Detry, Hannes Holey, Raja Zulkarnain, Roberto Guerra, Ilaria Papa, Michael Zaiser, Stefano Zapperi   +6 more
wiley   +1 more source

Leader-Following Fault-Tolerant Consensus Control for Multi-Agent Systems Based on Observers. [PDF]

Sensors (Basel)
Liu T, Zhu F, Xu H.
europepmc   +1 more source

Comparative Performance and Partial Load Cycling of Sodium‐Metal Chloride Battery Modules With Mixed‐Metal Fe,Zn and Ni,Fe Cells

Advanced Functional Materials, EarlyView.
Sustainable Na‐(Fe,Zn)Cl2 battery modules deliver discharge energies comparable to state‐of‐the‐art Na‐(Ni,Fe)Cl2 batteries through high active‐material utilization, although with lower power capability. Advanced electrochemical characterization reveals a distinct reaction mechanism and low resistance during Fe dechlorination.
Enea Svaluto‐Ferro, William Nash, Robert Zboray, Fabrizio Vagliani, Diego Basso, Alberto Turconi, Andrea Pozzi, Corsin Battaglia, Norbert Weber, Tom Weier, Meike V. F. Heinz   +10 more
wiley   +1 more source

Adversarial robustness of LLM-based multi-agent systems for engineering problems. [PDF]

Front Artif Intell
Wiesmeier L, Busch M, Tacke M, Linka K, Cyron C, Aydin R.   +5 more
europepmc   +1 more source