Results 131 to 140 of about 9,788 (273)

Enhanced High Dimensionality and the Information Processing Capacity in Interfered Spin Wave‐Based Reservoir Computing, Achieved With Eight Detectors

Advanced Electronic Materials, EarlyView.
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa, Wataru Namiki, Daiki Nishioka, Maki Nishimura, Ryo Iguchi, Kazuya Terabe, Takashi Tsuchiya   +6 more
wiley   +1 more source

Near‐Infrared‐Light‐Driven Photochemistry and Photocatalysis: Mechanisms, Recent Applications, and Opportunities in Organic Synthesis and Biology

Angewandte Chemie, EarlyView.
This minireview highlights recent advances in catalyst development and mechanistic strategies that enable photochemical and photocatalytic reactivity under 700–1000 nm NIR light, emphasizing how long‐wavelength excitation expands opportunities in both synthetic chemistry and biology.
Santosh K. Pagire, Wesley J. Olivier, Debabrata Maiti, Alex C. Bissember   +3 more
wiley   +2 more sources

Advances in Metamaterials: Structure, Properties and Applications. [PDF]

Materials (Basel)
Zheng B, Zhu P.
europepmc   +1 more source

Topological Materials and Related Applications

Advanced Electronic Materials, EarlyView.
This review covers topological materials—including topological insulators, quantum valley Hall and quantum spin Hall insulators, and topological Weyl and Dirac semimetals—as well as their most recent advancements in fields such as spintronics, electronics, photonics, thermoelectrics, and catalysis.
Carlo Grazianetti, Roberto Mantovan, Emanuele Longo, Harold J. W. Zandvliet, Pantelis Bampoulis, Yu Pan, Fan Li, Xia Wang, Payton Downey, Alessandro Molle   +9 more
wiley   +1 more source

Editorial: Quantum electromagnetic photon-mediated communication in neuronal networks. [PDF]

Front Syst Neurosci
Cavaglià M, Pettini M, Craddock TJA, Dogariu A.   +3 more
europepmc   +1 more source

Introduction [PDF]

, 2013
Agrawal, A., Rahman, B. M.
core  

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Analytically grounded full-wave methods for advances in computational electromagnetics. [PDF]

Philos Trans A Math Phys Eng Sci
Lucido M, Kobayashi K, Nosich AI, Pérez Arancibia C, Vukovic A.   +4 more
europepmc   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

Robust and Integrable Time-Varying Metamaterials: A Systematic Survey and Coherent Mapping. [PDF]

Nanomaterials (Basel)
Koutzoglou I, Amanatiadis S, Kantartzis NV.   +2 more
europepmc   +1 more source