Results 101 to 110 of about 259,517 (255)
Crystal Engineering of Reticular Materials for Gas‐ and Liquid‐Phase Hydrocarbon Separation
Crystal engineering enables systematic study of structure/function relationships as exemplified by pore engineering of reticular sorbents, including porous coordination networks and covalent organic frameworks. This review assesses such studies applied across the full scope of industrially relevant hydrocarbon separations to provide insight into how ...
Xia Li +2 more
wiley +1 more source
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
This review explores recent advances in digital micromirror device (DMD)‐based lithography, focusing on its programmable light modulation, multi‐material compatibility, and dimensional patterning strategies. It highlights innovations from optical system design to materials integration and multifunctional applications, positioning DMD lithography as a ...
Yubin Lee +5 more
wiley +1 more source
3D Printing of Stretchable, Compressible and Conductive Porous Polyurethane for Soft Robotics
A 3D‐printable porous dopamine‐polyurethane acrylate elastomer results in conductive, stretchable, and compressible structures that can be metallized in situ through catechol‐mediated silver reduction. The resulting material function as both compliant soft robot with a and strain sensors without complex assemblies, enabling fully 3D‐printed soft ...
Ouriel Bliah +3 more
wiley +1 more source
Meta-learning within Projective Simulation
Learning models of artificial intelligence can nowadays perform very well on a large variety of tasks. However, in practice, different task environments are best handled by different learning models, rather than a single universal approach.
Adi Makmal +3 more
doaj +1 more source
Recent advances in nanophotonics‐based chiral biosensing approaches are comprehensively reviewed, highlighting key trends, advantages, and limitations of each technology. Special attention is given to emerging strategies that exploit magneto‐optical and quantum plasmonic phenomena to enhance sensitivity down to the level of a few molecules, or even a ...
Jorge Ricardo Mejía‐Salazar
wiley +1 more source
FedSeq: Personalized Federated Learning via Sequential Layer Expansion in Representation Learning
Federated learning ensures the privacy of clients by conducting distributed training on individual client devices and sharing only the model weights with a central server.
Jae Won Jang, Bong Jun Choi
doaj +1 more source
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
Extended version of a paper accepted at KDD ...
Daniel Mas Montserrat +4 more
openaire +2 more sources
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source

