Results 91 to 100 of about 100,531 (319)

Low‐Symmetry Weyl Semimetals: A Path to Ideal Topological States

open access: yesAdvanced Functional Materials, EarlyView.
This study presents a theoretical framework for realizing ideal Weyl semimetals, where Weyl nodes are well‐isolated at the Fermi level. The approach is exemplified in the low‐symmetry material Cu2SnSe3, which exhibits tunable topological phases, current‐induced orbital magnetization, and a strong circular photogalvanic effect, making it a promising ...
Darius‐Alexandru Deaconu   +3 more
wiley   +1 more source

Symmetry Enhanced Unconventional Spin Current Anisotropy in a Collinear Antiferromagnet

open access: yesAdvanced Functional Materials, EarlyView.
Spin‐orbit torques (SOTs) are investigated in epitaxial FeSn, a topological antiferromagnet with kagome lattice symmetry. Combining experimental and theoretical approaches, the study identifies a six‐fold conventional damping‐like spin‐orbit torque (DL SOT), along with the coexistence of both six‐fold and uniaxial unconventional field‐like torque (FL ...
Pankhuri Gupta   +10 more
wiley   +1 more source

The Transposon Registry

open access: yesMobile DNA, 2019
Transposable elements in prokaryotes are found in many forms and therefore a robust nomenclature system is needed in order to allow researchers to describe and search for them in publications and databases.
Supathep Tansirichaiya   +2 more
doaj   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

open access: yesAdvanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu   +5 more
wiley   +1 more source

Patterning the Void: Combining L‐Systems with Archimedean Tessellations as a Perspective for Tissue Engineering Scaffolds

open access: yesAdvanced Functional Materials, EarlyView.
This study introduces a novel multi‐scale scaffold design using L‐fractals arranged in Archimedean tessellations for tissue regeneration. Despite similar porosity, tiles display vastly different tensile responses (1–100 MPa) and deformation modes. In vitro experiments with hMSCs show geometry‐dependent growth and activity. Over 55 000 tile combinations
Maria Kalogeropoulou   +4 more
wiley   +1 more source

Understanding Functional Materials at School

open access: yesAdvanced Functional Materials, EarlyView.
This review outlines strategies for effectively teaching nanoscience in schools, focusing on challenges such as scale comprehension and curriculum integration. Emphasizing inquiry‐based learning and chemistry core concepts, it showcases hands‐on activities, digital tools, and interdisciplinary approaches.
Johannes Claußnitzer, Jürgen Paul
wiley   +1 more source

Telescope: Characterization of the retrotranscriptome by accurate estimation of transposable element expression.

open access: yesPLoS Computational Biology, 2019
Characterization of Human Endogenous Retrovirus (HERV) expression within the transcriptomic landscape using RNA-seq is complicated by uncertainty in fragment assignment because of sequence similarity.
Matthew L Bendall   +11 more
doaj   +1 more source

RepetDB: a unified resource for transposable element references

open access: yesMobile DNA, 2019
Background Thanks to their ability to move around and replicate within genomes, transposable elements (TEs) are perhaps the most important contributors to genome plasticity and evolution.
Joëlle Amselem   +11 more
doaj   +1 more source

An Ultra‐Robust Memristor Based on Vertically Aligned Nanocomposite with Highly Defective Vertical Channels for Neuromorphic Computing

open access: yesAdvanced Functional Materials, EarlyView.
An ultra‐robust memristor based on SrTiO3‐CeO2 (S‐C) vertically aligned nanocomposite (VAN) achieving exceptional endurance of 1012 switching cycles via interface engineering. Artificial neural networks (ANNs) integrated with S‐C VAN memristors exhibit high training accuracy across multiple datasets.
Zedong Hu   +12 more
wiley   +1 more source

Electron Compensation Enhanced Triboelectric Sensor Assisted by Machine Learning for Tactile Perception Recognition

open access: yesAdvanced Functional Materials, EarlyView.
Integrating polyethyleneimine and carbon black into polyurethane enhances electron transport and mechanical durability. The resulting sensor achieves significantly improved electrical signal and sensitivity, enabling efficient machine learning‐based tactile signal recognition in bionic applications.
Xiangkun Bo   +4 more
wiley   +1 more source

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