Results 81 to 90 of about 7,747 (289)

Conductive Hydrogels for Exogenous Sensing and Cell Fate Control

Advanced Materials, EarlyView.
We engineer electrically conductive hydrogels by combining sulfated glycosaminoglycans with semiconducting polymers. These hydrogels bind bioactive proteins, including growth factors, whose release or retention can be modulated by low‐voltage stimulation. The hydrogels are also integrated as 3D channels in organic electrochemical transistors as part of
Teuku Fawzul Akbar, Carlos Alejandro Jimenez‐Rodriguez, Railia Biktimirova, Ilka Hermes, Thomas Kurth, My Duyen Pham, Mikhail Tsurkan, Jens Friedrichs, Francis L. C. Morgan, Hans Kleemann, Olga Guskova, Uwe Freudenberg, Peter Fratzl, Carsten Werner, Christoph Tondera, Ivan R. Minev   +15 more
wiley   +1 more source

Computational modeling of the experimental response of microscale bistable tensegrity structures

, 2021
We report about the analysis, design, and experimental testing of modular structures composed of bistable units derived from the classic triangular tensegrity prism.
Vangelatos Z., Fraternali F., Micheletti A., Singh N., Grigoropoulos C. P.   +4 more
core   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Machine Learning-Enhanced Model-Based Optical Proximity Correction Framework With Convolutional Neural Network-Based Variable Threshold Method Near the Diffraction Limit

IEEE Access
As semiconductor manufacturing approaches the diffraction limit of lithography, traditional model-based optical proximity correction (MBOPC) techniques face accuracy bottlenecks due to physical modeling errors. This study proposes a Machine Learning (ML)-
Jinhao Zhu, Liwan Yue, Ying Li, Xianhe Liu, Qiang Wu, Qi Wang, Yanli Li   +6 more
doaj   +1 more source

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

Advanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao, Ranjan Singh, Zhen Tian   +11 more
wiley   +1 more source

Interference Lithography‐Based Fabrication of 3D Metallic Mesostructures on Reflective Substrates using Electrodeposition‐Compatible Anti‐Reflection Coatings for Power Electronics Cooling

Advanced Electronic Materials
A nanostructured copper oxide (nCO) coating which can be electrochemically reduced to copper metal is demonstrated as an anti‐reflection coating, enabling interference lithography of three‐dimensionally structured templates on a surface compatible with ...
Gaurav Singhal, Sujan Dewanjee, Gwangmin Bae, Youngjin Ham, Danny J. Lohan, Kai‐Wei Lan, Jiaqi Li, Tarek Gebrael, Shailesh N. Joshi, Seokwoo Jeon, Nenad Miljkovic, Paul V. Braun   +11 more
doaj   +1 more source

Computational lithography with advanced optimization algorithms

, 2016
Lithography techniques have long been the driving power for the advancement of Moore’s law for the semiconductor industry. In recent years, next generation lithog- raphy techniques, such as extreme ultraviolet lithography, have been extensively de- layed.
吴小飞, Wu, Xiaofei
core  

Ferroelectric Dynamic‐Field‐Driven Nucleation and Growth Model for Predictive Materials‐To‐Circuit Co‐Design

Advanced Materials, EarlyView.
This study presents a compact dynamic‐field‐driven nucleation and growth (DFNG) model that captures ferroelectric switching behavior under arbitrary voltage waveforms. It enables extraction of time‐dependent domain wall velocity and growth dimensionality, which can then be extended to device‐level modeling.
Yi Liang, Soohyeon Kim, Tony Chiang, Megan K. Lenox, Ian Mercer, John J. Plombon, Jon‐Paul Maria, Jon F. Ihlefeld, Wenhao Sun, Wei Lu, John T. Heron   +10 more
wiley   +1 more source

Memory efficient constrained optimization of scanning-beam lithography

, 2022
This article describes a memory efficient method for solving large-scale optimizationproblems that arise when planning scanning-beam lithography processes.
Jidling, Carl,, Schön, Thomas B., Wills, Adrian G.,, Jidling, Carl, Schön, Thomas B.,, Wills, Adrian G., Fleming, Andrew J.,, Fleming, Andrew J.   +7 more
core   +1 more source

Near‐Unity Chiral Lasing Enabled by Quasi‐Bound States in the Continuum

Advanced Materials, EarlyView.
Nanoimprinted chiral array that supports bound states in the continuum is doped with an efficient non‐chiral molecule (Rhodamine‐B) acting as gain medium to produce fully circularly polarized lasing emission. The chiral lasing wavelength can be tuned across the emission band of Rhodamine‐B by adjusting the coating thickness of the TiO2 high refractive ...
Jose Mendoza‐Carreño, Luis A. Pérez, Carlota Ruiz De Galarreta, Théo Rouanet, M. Isabel Alonso, Agustín Mihi   +5 more
wiley   +1 more source