Results 131 to 140 of about 28,017 (258)

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Unveiling Exsolution‐Induced Giant Electronic and Magnetic Property Changes in Non‐Stoichiometric Titanate Perovskite Thin Films

Advanced Materials, EarlyView.
A giant insulator to metal transition and emergent superparamagnetism are revealed by nanoparticle exsolution in non‐stoichiometric titanate perovskite thin films. By combining transport, synchrotron spectroscopy, and first‐principles calculations, this work reveals how defect reconfiguration and lattice reconstruction fundamentally reshape electronic ...
Sungil Kim, June Ho Lee, Yaolong Xing, Dongchang Kim, Haeseong Jeong, Mongjun Jeong, Manuel Valvidares, Stuart S. P. Parkin, Sang Ho Oh, Donghwa Lee, Hyojin Yoon, Hyeon Han   +11 more
wiley   +1 more source

Can Elastomers Combine Stiffness, Toughness and Fatigue Resistance?

Advanced Materials, EarlyView.
This review studies how the molecular and macroscopic architecture of elastomers influence their mechanical properties including: stiffness, stretchability, toughness, fatigue resistance, and damping behavior. By linking the structure to performance, it proposes design principles for advanced elastomeric systems that combine mechanical properties ...
Eva Baur, Esther Amstad
wiley   +1 more source

Radiative Thermal Management for Extreme Environments: Mechanisms and Design Strategies

Advanced Materials, EarlyView.
In this review, we discuss the fundamental mechanisms of radiative cooling and solar heating, material and structural design strategies, hybrid approaches integrating additional heat transfer pathways, and durability‐oriented designs addressing environmental stresses.
Hyung Rae Kim, Haeseong Kim, Joo Hwan Ko, Gil Ju Lee, Dae‐Hyeong Kim, Young Min Song   +5 more
wiley   +1 more source

Fin-Ray soft gripper for object manipulation with multi-robot systems. [PDF]

HardwareX
Velasquez S, Toro-Ossaba A, Sanin-Villa D, Núñez JD, Rozo-Osorio D, Bonet I, Góngora M, Giraldo MA, Tejada JC.   +8 more
europepmc   +1 more source

Biohybrid Crawling Robot With Spiral‐Spring Backbone and Inclined Legs for Enhanced Locomotion

Advanced Materials, EarlyView.
We present a biohybrid crawling robot integrating a muscle ring with a flexible skeleton combining two complementary structural elements. The spiral‐spring backbone enables large‐amplitude bending without compromising axial stability, while outward‐inclined legs with unequal front–rear lengths effectively convert deformation into directional strides ...
Tomohiro Morita, Minghao Nie, Shoji Takeuchi   +2 more
wiley   +1 more source

Learning faults in time: sequential behavioural modelling for complex fault detection in multi-robot systems. [PDF]

Front Robot AI
Mazloum FF, Portugal D, Couceiro MS.
europepmc   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 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