Results 101 to 110 of about 52,570 (259)

High‐κ Perovskite‐Like Ternary Niobium Oxide Dielectrics for 2D Electronics

Advanced Materials, EarlyView.
High‐κ dielectrics are vital for scaled electronics. Here, a family of 2D high‐κ perovskite‐like ternary niobium oxides is synthesized via a molten salt‐assisted method. Their integration into FETs and logic gates reveals superior switching characteristics, providing a fresh material platform and new insights for the advancement of high‐performance 2D ...
Biao Zhang, Jianmiao Guo, Jianmin Yan, Jialiang Wang, Chao Yun, Guang Zeng, Jie Li, Cong Wang, Zhengdao Xie, Yanglong Hou, Yang Chai   +10 more
wiley   +1 more source

Cholesterol‐DNA Origami Nanostructures for Synthetic Lipid Rafts Induce Early T Cell Activation Signals

Advanced Materials Interfaces, EarlyView.
Here, we present a nanotechnology approach to construct synthetic lipid rafts on the live T cell membrane, leveraging a versatile DNA origami‐enabled platform named as the “cholesterol nano‐patch” (CNP). Our investigation highlights the effectiveness of DNA nanotechnology in exploring the impact of nanoscale arrangement of cholesterols on the ...
Yunmin Jung, Young‐Joo Kim, Kunwoo Noh, Sunmi Lee, Minsuk Kwak   +4 more
wiley   +1 more source

Constructal design for a clover-shaped high conductivity channel in a square heat generating body

Case Studies in Thermal Engineering
Constructal design of a square heat generating body with a clover-shaped high thermal conductivity channel is carried out. The research focuses on minimizing the maximum temperature difference and the entropy generation rate by releasing degrees of ...
Lingen Chen, Tian Xie, Fengyin Zhang, Huijun Feng, Yanlin Ge   +4 more
doaj   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Geometrical and thermodynamic stability of govaniadine scaffold adducts with dopamine receptor D1

Results in Chemistry
Govaniadine, an isoquinoline alkaloid first isolated from Corydalis govaniana Wall., has been reported to possess multiple biological properties. Its potential as a possible dopamine receptor D1 modulator has been assessed in this research work along ...
Ram Lal Swagat Shrestha, Binita Maharjan, Timila Shrestha, Bishnu Prasad Marasini, Jhashanath Adhikari Subin   +4 more
doaj   +1 more source

Reflections on the thermodynamic optimization of thermoelectric generators

, 2013
Les phénomènes thermoélectriques sont un moyen de convertir directement l’énergie thermique en énergie électrique ; ils sont à ce titre au cœur de nombreuses recherches dans le domaine de l’énergétique. Au-delà de l’optimisation des matériaux constituants les générateurs thermoélectriques, il est également nécessaire de mener une réflexion sur la ...
openaire   +1 more source

Amido‐Amine Co(II) Precursor‐Based Atomic/Molecular Layer Deposition Processes for Cobalt‐Organic Thin Films and Their Thermal Conversion to CoO Thin Films

Advanced Materials Technologies, EarlyView.
Three new atomic/molecular layer deposition processes are developed for Co‐organic thin films using a promising all‐nitrogen‐coordinated cobalt precursor. The study examines film growth, reaction mechanisms, chemical stability, and decomposition pathways of the resulting films through extensive characterization techniques and DFT calculations ...
Topias Jussila, Jorit Obenlüneschloß, Ji Liu, Olga Partanen, Sami Vasala, Detlef Rogalla, Pieter Glatzel, Michael Nolan, Anjana Devi, Maarit Karppinen   +9 more
wiley   +1 more source

Active learning of ternary alloy structures and energies

npj Computational Materials
Machine learning models with uncertainty quantification have recently emerged as attractive tools to accelerate the navigation of catalyst design spaces in a data-efficient manner.
Gaurav Deshmukh, Noah J. Wichrowski, Nikolaos Evangelou, Pushkar G. Ghanekar, Siddharth Deshpande, Ioannis G. Kevrekidis, Jeffrey Greeley   +6 more
doaj   +1 more source

Hard‐Magnetic Soft Millirobots in Underactuated Systems

Advanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang, Zixuan Zhang, Bingyan Li, Junkai Wang, Hongcheng Gu   +4 more
wiley   +1 more source

Precision Editing of NLRS Improves Effector Recognition for Enhanced Disease Resistance

Advanced Science, EarlyView.
Precision engineering of plant NLR immune receptors enables rational design of enhanced pathogen resistance through mismatched pairing, domain swapping, and targeted mutagenesis. These approaches achieve multi‐fold expansion in recognition breadth while minimizing autoimmunity risks and fitness penalties.
Vinit Kumar, Vishwa I. P. W. A. Kumara, Pradeepa C. G. Bandaranayake, Dong Yawen, Yang‐Yang Gao, Junfeng Liu, Ge‐Fei Hao, Xiu‐Fang Xin   +7 more
wiley   +1 more source