Article
Chemistry, Physical
Nobutaka Shioya, Ryoi Fujiwara, Kazutaka Tomita, Takafumi Shimoaka, Koji K. Okudaira, Hiroyuki Yoshida, Tomoyuki Koganezawa, Takeshi Hasegawa
Summary: Solution-processable organic semiconductors with bulky substituent groups are promising for large-area electronics, but the substituent groups can affect charge-carrier transport in thin films. Using a solvent-soluble precursor compound with thermally cleavable functional groups can generate the desired material consisting solely of conjugated systems, but the overall process of thin film growth remains unrevealed.
JOURNAL OF PHYSICAL CHEMISTRY C
(2021)
Article
Nanoscience & Nanotechnology
Yiru Wang, Limin Kang, Zhenliang Liu, Zuteng Wan, Jiang Yin, Xu Gao, Yidong Xia, Zhiguo Liu
Summary: By intercalating an n-type semiconductor layer in a pentacene OFET structure, the hole barrier caused by the defect layer can be adjusted, resulting in lower P/E gate voltages, higher field-effect mobility, faster P/E speeds, and longer retention time.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Electrochemistry
Qianwen Zhang, Yuxiang Du, Xiaohui Chang, Bangqiang Xu, Genqiang Chen, Shi He, Dan Zhang, Qi Li, Juan Wang, Ruozheng Wang, Hong-Xing Wang
Summary: Assessment of glucose concentration is crucial for diagnosing and treating diabetes mellitus. In this study, a partly-oxygen-diamond solution-gate field-effect transistor (SGFET) was used to detect glucose, taking advantage of the electrochemical properties of diamond in biosensing. The partly-oxygen-diamond was obtained by ultraviolet ozone treatment, and then modified with 1-pyrenebutyric acid-N-hydroxy succinimide ester and glucose oxidase on the diamond surface. The glucose concentration was determined by measuring the shifts of the transistor's transfer characteristics. The biosensor exhibited a wide linear response range and showed good repeatability and stability in multiple detections.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2023)
Article
Physics, Applied
Jiaxuan Wen, Songyou Yao, Xiaoyue Zhang, Yue Zheng
Summary: In this paper, we present reconfigurable ferroelectric field-effect transistors (Fe-FETs) with process dependence based on poly(vinylidene fluoride-trifluoroethylene)/molybdenum telluride [P(VDF-TrFE)/MoTe2] heterostructures. By introducing a thickness gradient to a ferroelectric polymer, we demonstrate programmable configuration of the device depending on the input voltage sequence. Our Fe-FETs exhibit multilevel storage capacity and logic ability, making them suitable for creating intelligent devices.
APPLIED PHYSICS LETTERS
(2023)
Article
Chemistry, Multidisciplinary
Jacopo Oswald, Davide Beretta, Michael Stiefel, Roman Furrer, Dominique Vuillaume, Michel Calame
Summary: The effects of thermally evaporated C60 and Pentacene on the charge transport properties of CVD graphene were investigated. C60 induced a downshift of the graphene Fermi energy by about 100 meV, while Pentacene induced an upshift of about 120 meV. In both cases, the increase in charge carriers was accompanied by a reduction in charge mobility, resulting in an increased sheet resistance of graphene.
Article
Materials Science, Multidisciplinary
Wei Shi, Qingyuan Li, Yunpeng Zhang, Kai Liu, Xin Huang, Xueli Yang, Yang Ran, Yifan Li, Yunlong Guo, Yunqi Liu
Summary: Research on aqueous solution sensors is highly demanded for biological sensing applications. This study introduces an approach to enhance the affinity of organic field-effect transistors (OFETs) to aqueous solutions by incorporating amphiphilic molecules in the hydrophobic semiconductor. The modified OFET demonstrates the ability to detect glucose solutions in the human blood range and achieve selective detection of various aqueous solutions. The sensing performance can be tuned by adjusting the composition of the amphiphilic molecules and introducing dielectric materials.
APPLIED MATERIALS TODAY
(2022)
Article
Chemistry, Multidisciplinary
Meng Liu, Songtai Liang, Dongfang Shi, Siyuan Yang, Yu Lei, Tie Li, Yuelin Wang
Summary: Nanoscale air/vacuum channel devices show great potential in extreme environments, high speed, and low power consumption, but achieving stable large current emission at low voltages remains challenging. A vertical structure with controlled emission currents and fast rise/fall times has been demonstrated, providing good manufacturing and integration possibilities for future nanoscale air/vacuum channel electronics.
Article
Materials Science, Multidisciplinary
Jie Lu, Zi Wang, Di Xue, Ming Chu, Yingying Zhang, Lianlian Ji, Qi Wang, Xingyu Jiang, Yinghui Sun, Qian Miao, Bin Dong, Lizhen Huang, Lifeng Chi
Summary: In this study, a heteroepitaxy strategy was reported to fabricate highly aligned organic crystalline thin films with high charge mobility and air stability. The structured films showed excellent performance in UV light and gas detection.
ACS MATERIALS LETTERS
(2022)
Article
Materials Science, Multidisciplinary
Jie Lu, Zi Wang, Di Xue, Ming Chu, Yingying Zhang, Lianlian Ji, Qi Wang, Xingyu Jiang, Yinghui Sun, Qian Miao, Bin Dong, Lizhen Huang, Lifeng Chi
Summary: An epitaxy strategy was reported for fabricating highly aligned organic crystalline thin films with high charge mobility and responsive surfaces/interfaces.
ACS MATERIALS LETTERS
(2022)
Article
Nanoscience & Nanotechnology
Hao Zong, Min Wang, Weinan Chen, Zhong-Da Zhang, Jia-Wei Cai, Cong Shen, Li-Xing Li, Shui-Long Kang, Yuan Fang, Gang Zhou, Sui-Dong Wang
Summary: A comparison of organic single crystals of different dimensions but with the same material reveals insights into their carrier injection mechanism. Two-dimensional (2D) and microrod single crystals with identical crystalline structure of a thiopyran derivative, C8-SS, were grown on a glycerol surface. Organic field-effect transistors (OFETs) based on the 2D C8-SS single crystal exhibit superior performance, especially in contact resistance (RC). RC is found to be influenced by the resistance of the crystal bulk in the contact region, with the 2D OFETs having significantly reduced RC due to their tiny thickness. The 2D OFETs demonstrate high operational stability and channel mobility up to 5.7 cm2/V center dot s, highlighting the potential of 2D molecular single crystals in organic electronics.
ACS APPLIED MATERIALS & INTERFACES
(2023)
Article
Chemistry, Multidisciplinary
Zeno Schumacher, Rasa Rejali, Megan Cowie, Andreas Spielhofer, Yoichi Miyahara, Peter Grutter
Summary: Inducing an inversion layer in organic semiconductors is a critical achievement for producing OFET devices, and a new pulsed bias technique is developed to characterize the dopant type of different organic material systems. This technique accurately identifies n-doping in pentacene/PTCDI heterostructure, demonstrating that nanometer-scale lateral extent and thickness are sufficient for an OFET device to operate in the inversion regime.
Article
Crystallography
Valery A. A. Postnikov, Artem A. A. Kulishov, Georgy A. A. Yurasik, Nataliya I. I. Sorokina, Timofei A. A. Sorokin, Vadim V. V. Grebenev
Summary: In this work, centimeter-scale pentacene crystals were successfully grown using the physical vapor transport method. The intensive crystal growth processes occurred in transition regions with sudden temperature changes, while crystal growth was not observed in regions with slightly varying temperatures. The crystal structures of the golden needle crystals and dark-blue lamellar pentacene crystals were refined using single-crystal X-ray diffraction, providing valuable insights into their molecular arrangements. The electrical properties of the prepared pentacene thin films and single crystals were evaluated by fabricating and characterizing field-effect transistors (FETs).
Review
Chemistry, Multidisciplinary
Yao Ni, Yongfei Wang, Wentao Xu
Summary: FTSM, a key component in flexible electronics, utilizes floating-gate, charge-trap, and ferroelectric mechanisms for nonvolatile information storage, and can be operated by optical inputs through the introduction of an optical sensory module. Transistor-structured artificial synapse, a special type of FTSM, mimics important functions of biological synapses to achieve brain-inspired memory behaviors and nervous signal transmissions.
Article
Materials Science, Ceramics
Haiping Zhou, Gang Wang, Liping Wang, Zhenhua Zhang, Huiliang Hou, Qifan Zhong, Jin Xiao
Summary: Industrial alumina was used as raw material with the introduction of AlF3 to promote mass transfer in the gas phase for the high-temperature calcination process. The calcination environment, including sealing, temperature, and holding time, was analyzed to enhance the effect of AlF3 on alumina crystal growth. By adding low dosages of AlF3 (0.1-0.4 wt%), round-like flake alpha-Al2O3 particles with an average size of 18-38 μm were obtained. The morphology and size of alpha-Al2O3 were further adjusted by introducing micron-scaled nuclei as template inducers, resulting in round-like flake and spherical-like large single crystals alpha-Al2O3 particles with an average size larger than 35 μm when specific types of nuclei were added.
CERAMICS INTERNATIONAL
(2023)
Article
Engineering, Electrical & Electronic
Weixing Huang, Huilong Zhu, Yongkui Zhang, Junjie Li, Xuezheng Ai, Xiaogen Yin, Chen Li, Yangyang Li, Xinhao Li, Kunpeng Jia, Jinjuan Xiang, Gaobo Xu
Summary: The study explores the fabrication process and characteristics analysis of negative-capacitance field-effect transistors (NCFETs), as well as their impact on ferroelectric properties. Different sub-threshold slope (SS) characteristics were found to be related to the asymmetrical polarization-voltage loops of metal-ferroelectric-insulator-silicon capacitance in NCFETs.
SEMICONDUCTOR SCIENCE AND TECHNOLOGY
(2021)
Article
Materials Science, Multidisciplinary
Takeshi Aoyagi
Summary: Deep learning was applied to predict phase diagrams of block copolymers, successfully classifying metastable structures with a 3D convolutional neural network and assigning them to the correct stable phases. This approach offers an effective way to predict block copolymer phase diagrams without the need for intensive self-consistent field calculations.
COMPUTATIONAL MATERIALS SCIENCE
(2021)
Article
Chemistry, Physical
Hideo Doi, Kazuaki Z. Takahashi, Takeshi Aoyagi
Summary: Research shows that machine learning can effectively identify and distinguish molecular structures of water and ice. Through an investigation of 493 order parameters and 159,767,496 combinations, it was found that the best set of two order parameters, Q(4) and Q(8), can efficiently distinguish different structures, enhancing classification accuracy.
JOURNAL OF CHEMICAL PHYSICS
(2021)
Article
Mechanics
Takeshi Aoyagi
Summary: This study evaluated three slip-spring dissipative particle dynamics models and studied the details behind parameter settings, confirming a linear relationship between slip-spring density and fictitious chemical potentials, and determining coefficients for quantitatively adjusting slip-spring density for each target application.
NIHON REOROJI GAKKAISHI
(2021)
Article
Chemistry, Multidisciplinary
Hideo Doi, Kazuaki Z. Takahashi, Takeshi Aoyagi
Summary: Research on order parameters for ice polymorphs shows that it is possible to distinguish different structures using two or three order parameters, thereby improving accuracy in distinguishing between phases.
JOURNAL OF COMPUTATIONAL CHEMISTRY
(2021)
Article
Polymer Science
Haruka Yasuoka, Kazuaki Z. Takahashi, Jun-ichi Fukuda, Takeshi Aoyagi
Summary: The study investigated the molecular dynamics of liquid crystal elastomers through computer simulations, revealing that main-chain LCEs exhibit clear soft elasticity while the presence of soft elasticity in side-chain LCEs is highly dependent on molecular architecture details. Main-chain LCEs showed drastic symmetry breaking of the orientational order in the stress-strain curves, while in some cases, side-chain LCEs were prevented from experiencing soft elasticity due to local steric constraints caused by the main chain and crosslinked particles.
Correction
Multidisciplinary Sciences
Kazuaki Z. Takahashi, Takeshi Aoyagi, Jun-ichi Fukuda
NATURE COMMUNICATIONS
(2021)
Article
Multidisciplinary Sciences
Kazuaki Z. Takahashi, Takeshi Aoyagi, Jun-ichi Fukuda
Summary: Researchers used molecular dynamics, machine learning, and molecular cluster analysis to investigate the multistep nucleation of smectic clusters not accounted for by classical theory. They observed characteristic metastable clusters preceding supercritical nuclei, revealing the impact of molecular shape on phase transition dynamics and providing deeper understanding of anisotropic materials.
NATURE COMMUNICATIONS
(2021)
Article
Multidisciplinary Sciences
Hiroto Ozaki, Takeshi Aoyagi
Summary: This paper investigates the prediction of velocity field for multiple fixed cylinders using a deep-learning model, and finds that the accuracy of the prediction is influenced by the number of cylinders. The model accurately predicts the flow when the number of cylinders is close to the training dataset, but shows errors when extrapolating to a smaller number of cylinders, which can be attributed to the internal friction of the fluid.
SCIENTIFIC REPORTS
(2022)
Article
Chemistry, Multidisciplinary
Hideo Doi, Kazuaki Z. Takahashi, Takeshi Aoyagi
Summary: A combination of atomic numbers and bond-orientational order parameters is considered as a simple representation that involves both atomic species and their positional relation. By performing regression analysis and supervised machine learning on the atomic charges, 60 fingerprints were selected that successfully estimate the atomic charges and other properties, indicating their potential to precisely describe the chemical and structural information of the atomic environment of molecules.
Article
Materials Science, Multidisciplinary
Takeshi Aoyagi
Summary: This study presents the design of polymer structures with desired stress-strain properties using coarse-grained molecular dynamics simulations and artificial neural networks. Through simulation and optimization, a polymer structure that agrees with the predicted curve is obtained, providing an efficient method for material design.
COMPUTATIONAL MATERIALS SCIENCE
(2022)
Article
Polymer Science
Takeshi Aoyagi
Summary: This study investigated the elasticity of block copolymers through coarse-grained molecular dynamics simulation. The effects of morphology, bridge fraction, and deformation direction on stress-strain curves were studied. The results showed that glassy networks with the DG morphology had higher initial moduli compared to those with the BCC morphology. The rubber elasticity was linearly dependent on the bridge fraction in BCC morphology, but weakly dependent in DG morphology due to the contribution of loop configurations. The effect of deformation direction was insignificant in both morphologies, contrary to experimental results.
Article
Polymer Science
Haruka Yasuoka, Kazuaki Z. Takahashi, Takeshi Aoyagi
Summary: The crosslink density of liquid crystal elastomers (LCEs) plays a crucial role in the stress-strain curves. As the crosslink density increases, the strain region corresponding to soft elasticity becomes narrower, and the change in the orientation order parameter becomes steeper. Meanwhile, the stress values in the plateau region increase. This indicates a systematic trade-off between stress and strain in the soft elasticity of LCEs.
Article
Chemistry, Physical
F. Takano, M. Hiratsuka, T. Aoyagi, K. Z. Takahashi
Summary: The degradation of microplastics in marine pollution is gaining attention, but the microscopic details of their decomposition process are not well understood. This study uses local order parameters and machine learning to distinguish the crystalline and amorphous structures of microplastic lamellae, achieving good results.
JOURNAL OF CHEMICAL PHYSICS
(2022)
Article
Multidisciplinary Sciences
Hideo Doi, Kazuaki Z. Takahashi, Haruka Yasuoka, Jun-ichi Fukuda, Takeshi Aoyagi
Summary: This study focuses on liquid crystal elastomers (LCEs) and aims to identify the design variables of their molecular architectures that govern their macroscopic deformations. Regression analysis using machine learning (ML) is applied to analyze a database of LCE simulations, and a surrogate model is generated to predict stress-strain curves. The results reveal key design variables and demonstrate the predictive potential of the ML scheme in accelerating LCE material exploration.
SCIENTIFIC REPORTS
(2022)
Article
Chemistry, Multidisciplinary
Hironobu Kawaguchi, Mariko I. Ito, Takeshi Aoyagi, Takaaki Ohnishi
Summary: This study proposes a method to predict stress-strain curves of block copolymers with high accuracy by incorporating shortcut connections, pre-training, and transfer learning, reducing training costs.
JOURNAL OF COMPUTER CHEMISTRY-JAPAN
(2021)
Article
Materials Science, Multidisciplinary
Jinfei Dai, Chenjing Zhao, Jie Xu, Hossein Roshan, Hua Dong, Francesco Di Stasio, Fang Yuan, Bo Jiao, Zhaoxin Wu
Summary: In this study, the performance of perovskite nanocrystal light emitting diodes (PNC-LEDs) was enhanced through rational device structure design and the application of high-performance perovskite nanocrystal emitting layers.
ORGANIC ELECTRONICS
(2024)
Article
Materials Science, Multidisciplinary
Jia-Hua Yeh, Suhendro Purbo Prakoso, Leon Lukhas Santoso, Shi-Ju Chen, Bryan Chiang, Ju-Chieh Cheng, Ru-Ning Zhang, Yu-Cheng Chiu
Summary: This study demonstrates the application of a renewable material called dextrin-SMS in the production of electret filters and transistor memory. Dextrin-SMS material can maintain prolonged electrostatic charges and has a relatively wide memory window, making it suitable for the production of biodegradable face masks and green electronics.
ORGANIC ELECTRONICS
(2024)
Article
Materials Science, Multidisciplinary
Ahmad Telfah, Qais M. Al-Bataineh, Ahmad A. Ahmad, Rund Abu-Zurayk, Carlos J. Tavares, Johannes Etzkorn, Farzad Foadian
Summary: Polyacrylic acid complexed with polyaniline (PAA/PANI) composite materials have the potential to form organic mixed ion-electron conductive (OMIEC) films, which can be used in optoelectronic and energy storage applications. The composite films are formed through an acid-base reaction, resulting in strong electrostatic interactions and intermolecular hydrogen bonds between PANI and PAA. The separation of PANI-rich domains from PAA-rich matrix in the composite films is observed. The electrical conductivity of the composite films is higher when the content of PANI is 33 wt%, due to the high ionic-electronic coupling at the interface between phase-separated regions.
ORGANIC ELECTRONICS
(2024)
Article
Materials Science, Multidisciplinary
Min-Chih Hou, Dian Luo, Yu-Ting Huang, Shun-Wei Liu, Chin-Wei Lu, Chih-Hao Chang, Hai-Ching Su
Summary: Light-emitting electrochemical cells (LECs) have great potential for novel emission applications, but their relatively low device efficiency hinders their competitiveness with other emission technologies. A study finds that increasing the concentration of small TiO2 nano-particles in the diffuser film can enhance light extraction and improve the device efficiency of LECs.
ORGANIC ELECTRONICS
(2024)
Article
Materials Science, Multidisciplinary
Qiaoli Niu, Yao Xu, Jun Yang, Wei Hua, Baoxiang Chai, Zequan Zhang, Yuhui Ma, Wenjin Zeng, Ana Flavia Nogueira, Ruidong Xia
Summary: By introducing CPB as a defect passivation agent in the perovskite precursor solution, the optoelectronic properties of perovskite films can be significantly improved and non-radiative carrier recombination can be effectively suppressed. CPB-modified perovskite solar cells exhibit lower trap-state density and stronger carrier migration capability, leading to enhanced power conversion efficiency and stability.
ORGANIC ELECTRONICS
(2024)
Article
Materials Science, Multidisciplinary
Hulya Ozturk Dogan, Fatma Yildirim, Zeynep Orhan, Ali Ben Ahmed, Mostefa Benhaliliba, Sakir Aydogan
Summary: In this study, efficient self-powered visible and UV photodetectors based on hybrid organic-inorganic materials were demonstrated. The photodetectors showed excellent UV detecting capability and good photoresponsivity.
ORGANIC ELECTRONICS
(2024)