Synergistic effects of 2D/2D ZnV2O6/RGO nanosheets heterojunction for stable and high performance photo-induced CO2 reduction to solar fuels

2018 ◽  
Vol 334 ◽  
pp. 2142-2153 ◽  
Author(s):  
Abdullah Bafaqeer ◽  
Muhammad Tahir ◽  
Nor Aishah Saidina Amin
Author(s):  
W.W. Adams ◽  
S. J. Krause

Rigid-rod polymers such as PBO, poly(paraphenylene benzobisoxazole), Figure 1a, are now in commercial development for use as high-performance fibers and for reinforcement at the molecular level in molecular composites. Spinning of liquid crystalline polyphosphoric acid solutions of PBO, followed by washing, drying, and tension heat treatment produces fibers which have the following properties: density of 1.59 g/cm3; tensile strength of 820 kpsi; tensile modulus of 52 Mpsi; compressive strength of 50 kpsi; they are electrically insulating; they do not absorb moisture; and they are insensitive to radiation, including ultraviolet. Since the chain modulus of PBO is estimated to be 730 GPa, the high stiffness also affords the opportunity to reinforce a flexible coil polymer at the molecular level, in analogy to a chopped fiber reinforced composite. The objectives of the molecular composite concept are to eliminate the thermal expansion coefficient mismatch between the fiber and the matrix, as occurs in conventional composites, to eliminate the interface between the fiber and the matrix, and, hopefully, to obtain synergistic effects from the exceptional stiffness of the rigid-rod molecule. These expectations have been confirmed in the case of blending rigid-rod PBZT, poly(paraphenylene benzobisthiazole), Figure 1b, with stiff-chain ABPBI, poly 2,5(6) benzimidazole, Fig. 1c A film with 30% PBZT/70% ABPBI had tensile strength 190 kpsi and tensile modulus of 13 Mpsi when solution spun from a 3% methane sulfonic acid solution into a film. The modulus, as predicted by rule of mixtures, for a film with this composition and with planar isotropic orientation, should be 16 Mpsi. The experimental value is 80% of the theoretical value indicating that the concept of a molecular composite is valid.


RSC Advances ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 87-113
Author(s):  
Rami J. Batrice ◽  
John C. Gordon

Solar energy has been used for decades for the direct production of electricity in various industries and devices. However, harnessing and storing this energy in the form of chemical bonds has emerged as a promising alternative to fossil fuels.


2021 ◽  
Author(s):  
Shunlian Ning ◽  
Zhiwei Guo ◽  
Jigang Wang ◽  
Shaobin Huang ◽  
Shaowei Chen ◽  
...  

Author(s):  
Rajasekaran Elakkiya ◽  
Govindhan Maduraiveeran

Design of high-performance and Earth-abundant electrocatalysts for electrochemical carbon dioxide (CO2) reduction reaction (CO2RR) into fuels and value-added chemicals offers an emergent pathway for environment and energy sustainable concerns. Herein,...


2021 ◽  
pp. 132863
Author(s):  
Shiping Li ◽  
Najmul Hasan ◽  
Haoxuan Ma ◽  
Gangqiang Zhu ◽  
Longkai Pan ◽  
...  
Keyword(s):  

2018 ◽  
Vol 3 (10) ◽  
pp. 2527-2532 ◽  
Author(s):  
Xu Lu ◽  
Yueshen Wu ◽  
Xiaolei Yuan ◽  
Ling Huang ◽  
Zishan Wu ◽  
...  

2018 ◽  
Vol 35 (13) ◽  
pp. 2338-2339 ◽  
Author(s):  
Hongyang Li ◽  
Shuai Hu ◽  
Nouri Neamati ◽  
Yuanfang Guan

Abstract Motivation Combination therapy is widely used in cancer treatment to overcome drug resistance. High-throughput drug screening is the standard approach to study the drug combination effects, yet it becomes impractical when the number of drugs under consideration is large. Therefore, accurate and fast computational tools for predicting drug synergistic effects are needed to guide experimental design for developing candidate drug pairs. Results Here, we present TAIJI, a high-performance software for fast and accurate prediction of drug synergism. It is based on the winning algorithm in the AstraZeneca-Sanger Drug Combination Prediction DREAM Challenge, which is a unique platform to unbiasedly evaluate the performance of current state-of-the-art methods, and includes 160 team-based submission methods. When tested across a broad spectrum of 85 different cancer cell lines and 1089 drug combinations, TAIJI achieved a high prediction correlation (0.53), approaching the accuracy level of experimental replicates (0.56). The runtime is at the scale of minutes to achieve this state-of-the-field performance. Availability and implementation TAIJI is freely available on GitHub (https://github.com/GuanLab/TAIJI). It is functional with built-in Perl and Python. Supplementary information Supplementary data are available at Bioinformatics online.


RSC Advances ◽  
2018 ◽  
Vol 8 (36) ◽  
pp. 20182-20189 ◽  
Author(s):  
Ying Lu ◽  
Jian-Long Xu ◽  
Shan Ren ◽  
Ya-Nan Zhong ◽  
Xu Gao ◽  
...  

A one-pot room-temperature-ionic-liquid-assisted sputtering approach is designed to synthesize Cu2O/MWCNTs nanocomposite with high capacitance and long cycling life due to synergistic effects of oxygen-deficient Cu2O and conductive MWCNTs.


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