scholarly journals Material Design of Thermally Conductive Polyimides via Hybridization with Metallic or Inorganic Particles

2015 ◽  
Vol 26 (1_2) ◽  
pp. 16-21
Author(s):  
Shinji ANDO
Keyword(s):  
Material Design ◽  
Thermally Conductive

Development of Thermally Conductive Polymer/CNF Nanocomposite Materials via PolyJet Additive Manufacturing by Improvement of Digital Material Design

2019 ◽  
Author(s):  
Furkan Ismail Ulu ◽  
Ram Mohan ◽  
Ravi Pratap Singh Tomar
Keyword(s):  
Thermal Conductivity ◽  
Heat Dissipation ◽  
Conductive Polymer ◽  
Thermal Conductance ◽  
Polymeric Materials ◽  
Material Design ◽  
Nanocomposite Materials ◽  
Conductive Path ◽  
Thermally Conductive ◽  
Polyjet Printing

Abstract PolyJet printing technology allows building polymeric materials with complex multi-material structures in the resolution of tens of microns layer thickness providing high control over the entire 3-D part. On the other hand, thermally conductive polymer/CNF nanocomposite materials offer new opportunities for replacing metals in industry and applications that require heat dissipation to avoid degradation of materials prematurely. CNFs are one of the best promising filler types to enhance thermal conductance of polymers. However, experimental thermal conductivities of polymer/CNF nanocomposites are significantly low compared to the intrinsic thermal conductivity of CNFs. Present work focused on selectively addition CNF fillers to form a thermally conductive path which helps to control dispersion and alignment. PolyJet printing forms the material and the structure simultaneously which allows the control over the material distribution and morphology on entire 3-D parts while providing possibilities to manipulate the design and create a conductive path. In the present research, improvement of thermal conductivity of Polymer/CNF nanocomposites via PolyJet printing using voxel digital printing method was investigated. Samples were designed as VeroClear material, VeroClear with CNFs, VeroCyan material, VeroCyan with CNFs. DSC and TPS were used to perform the thermal characterization of the samples.

ORGANIC (1).pdf

2017 ◽  
Author(s):  
Benjamin Sanchez-Lengeling ◽  
Carlos Outeiral ◽  
Gabriel L. Guimaraes ◽  
Alan Aspuru-Guzik
Keyword(s):  
Machine Learning ◽  
Learning Community ◽  
Chemical Species ◽  
Material Design ◽  
Organic Photovoltaic ◽  
Generative Adversarial Networks ◽  
Generative Adversarial Network ◽  
Adversarial Network ◽  
Adversarial Networks ◽  
Photovoltaic Material

Molecular discovery seeks to generate chemical species tailored to very specific needs. In this paper, we present ORGANIC, a framework based on Objective-Reinforced Generative Adversarial Networks (ORGAN), capable of producing a distribution over molecular space that matches with a certain set of desirable metrics. This methodology combines two successful techniques from the machine learning community: a Generative Adversarial Network (GAN), to create non-repetitive sensible molecular species, and Reinforcement Learning (RL), to bias this generative distribution towards certain attributes. We explore several applications, from optimization of random physicochemical properties to candidates for drug discovery and organic photovoltaic material design.

New Insights into the Nature of the Band Gap of CuGeO3 Nanoparticles: Synthesis, Electronic Structure, and Optical and Photocatalytic Properties

2019 ◽  
Author(s):  
Victor Y. Suzuki ◽  
Luís Henrique Cardozo Amorin ◽  
Natália H. de Paula ◽  
Anderson R. Albuquerque ◽  
Julio Ricardo Sambrano ◽  
...  
Keyword(s):  
Electronic Structure ◽  
Band Gap ◽  
Material Design ◽  
Photocatalytic Properties ◽  
Critical Parameters ◽  
Synthetic Approach ◽  
Microwave Assisted ◽  
Theoretical Approaches ◽  
Nanoparticles Synthesis ◽  
First Time

<p>We report, for the first time, new insights into the nature of the band gap of <a>CuGeO<sub>3</sub> </a>(CGO) nanocrystals synthesized from a microwave-assisted hydrothermal method in the presence of citrate. To the best of our knowledge, this synthetic approach has the shortest reaction time and it works at the lowest temperatures reported in the literature for the preparation of these materials. The influence of the surfactant on the structural, electronic, optical, and photocatalytic properties of CGO nanocrystals is discussed by a combination of experimental and theoretical approaches, and that results elucidates the nature of the band gap of synthetized CGO nanocrystals. We believe that this particular strategy is one of the most critical parameters for the development of innovative applications and that result could shed some light on the emerging material design with entirely new properties.</p> <p><b> </b></p>

Pengembangan Bahan Ajar Mata Pelajaran Sosiologi Siswa Madrasah Aliyah

2017 ◽  
Vol 2 (1) ◽  
pp. 51
Author(s):  
Wagimin Wagimin
Keyword(s):  
High School ◽  
Small Group ◽  
Field Test ◽  
Instructional Material ◽  
Material Design ◽  
Teaching Sociology ◽  
One To One ◽  
Teaching Learning ◽  
Developing Method ◽  
Test Result

Abstract Penelitian ini bertujuan untuk mengembangkan perangkat materi pembelajaran untuk pengajaran sosiologi guna memotivasi siswa. Penelitian ini menggunakan metode penelitian dan pengembangan guna menformulasi produk dan mengukur efektifitasnya melalui validasi dan pengujian ahli di bidangnya. Ada tiga tipe test yang digunakan yaitu, one to one, small group, dan field test yang menunjukkan bahwa desain materi tersebut efektif. Setelah melalui revisi, desain meteri pembelajaran Sosiologi dianggap bermanfaat dan dapat digunakan dalam proses belajar mengajar Kata Kunci: Perangkat pembelajaran, mata pelajaran Sosiologi, siswa Madrasah Aliyah Abstract [Tittle: The Development of Sosiology Instructional Material for The Students fo Islamic Senior High School] . The research aims at developing a set of instructional material for teaching Sociology in order to motivate the students. The researcher employed a research and developing method to formulate a product and to measure its effectiveness through validation and trial-out by the experts of content-material and material-design. There were three types of trial to test the design; one to one, small group, and field test. Based on the test result, it was found that students in average can achieve 84% of overall score which indicate that the designed material is effective. After being revised several times in each stage, the design of instructional material for Sociology subject is considered as beneficial and able to be used in the teaching learning process

Enalos Suite of Tools: Enhancing Cheminformatics and Nanoinfor - matics through KNIME

2020 ◽  
Vol 27 (38) ◽  
pp. 6523-6535 ◽  
Author(s):  
Antreas Afantitis ◽  
Andreas Tsoumanis ◽  
Georgia Melagraki
Keyword(s):  
Data Analysis ◽  
Virtual Screening ◽  
In Silico ◽  
Model Development ◽  
In Silico Analysis ◽  
Material Design ◽  
Efficient Solutions ◽  
Biological Data ◽  
Cost Efficient ◽  
Silico Analysis

Drug discovery as well as (nano)material design projects demand the in silico analysis of large datasets of compounds with their corresponding properties/activities, as well as the retrieval and virtual screening of more structures in an effort to identify new potent hits. This is a demanding procedure for which various tools must be combined with different input and output formats. To automate the data analysis required we have developed the necessary tools to facilitate a variety of important tasks to construct workflows that will simplify the handling, processing and modeling of cheminformatics data and will provide time and cost efficient solutions, reproducible and easier to maintain. We therefore develop and present a toolbox of >25 processing modules, Enalos+ nodes, that provide very useful operations within KNIME platform for users interested in the nanoinformatics and cheminformatics analysis of chemical and biological data. With a user-friendly interface, Enalos+ Nodes provide a broad range of important functionalities including data mining and retrieval from large available databases and tools for robust and predictive model development and validation. Enalos+ Nodes are available through KNIME as add-ins and offer valuable tools for extracting useful information and analyzing experimental and virtual screening results in a chem- or nano- informatics framework. On top of that, in an effort to: (i) allow big data analysis through Enalos+ KNIME nodes, (ii) accelerate time demanding computations performed within Enalos+ KNIME nodes and (iii) propose new time and cost efficient nodes integrated within Enalos+ toolbox we have investigated and verified the advantage of GPU calculations within the Enalos+ nodes. Demonstration data sets, tutorial and educational videos allow the user to easily apprehend the functions of the nodes that can be applied for in silico analysis of data.

Highly thermally conductive graphene-based electrodes for supercapacitors with excellent heat dissipation ability

2017 ◽  
Vol 1 (10) ◽  
pp. 2145-2154 ◽  
Author(s):  
Bo Zhao ◽  
Xian-Zhu Fu ◽  
Rong Sun ◽  
Ching-Ping Wong
Keyword(s):  
Heat Dissipation ◽  
Cycling Performance ◽  
Thermally Conductive ◽  
Rate Capacity ◽  
Electrodes For Supercapacitors

The highly thermally conductive graphene-based electrodes for supercapacitors exhibit great heat dissipation ability as well as excellent cycling performance and rate capacity.

Highly thermally conductive UHMWPE/NG composites with the segregated structure and their application for heat spreader

2020 ◽  
pp. 089270572096564
Author(s):  
Xiao Wang ◽  
Hui Lu ◽  
Jun Chen
Keyword(s):  
Thermal Conductivity ◽  
Laser Flash ◽  
Heating Process ◽  
X Ray Diffraction ◽  
Heat Spreader ◽  
Conductive Composites ◽  
Compression Direction ◽  
Thermal Analyzer ◽  
Thermally Conductive ◽  
Plane Direction

In this work, ultra-high molecular weight polyethylene (UHMWPE)/natural flake graphite (NG) polymer composites with the extraordinary high thermal conductivity were prepared by a facile mixed-heating powder method. Morphology observation and X-ray diffraction (XRD) tests revealed that the NG flakes could be more tightly coated on the surface of UHMWPE granules by mixed-heating process and align horizontally (perpendicular to the hot compression direction of composites). Laser flash thermal analyzer (LFA) demonstrated that the thermal conductivity (TC) of composites with 21.6 vol% of NG reached 19.87 W/(m·K) and 10.67 W/(m·K) in the in-plane and through-plane direction, respectively. Application experiment further demonstrated that UHMWPE/NG composites had strong capability to dissipate the heat as heat spreader. The obtained results provided a valuable basis for fabricating high thermal conductive composites which can act as advanced thermal management materials.

Ultrasonic Torsion Welding of Aging Resistant Al/CFRP Joints - Concepts, Mechanical and Microstructural Properties

2017 ◽  
Vol 742 ◽  
pp. 395-400 ◽  
Author(s):  
Florian Staab ◽  
Frank Balle ◽  
Johannes Born
Keyword(s):  
Mechanical Properties ◽  
Process Parameters ◽  
Materials Science ◽  
Dissimilar Materials ◽  
Material Design ◽  
Ultrasonic Welding ◽  
Fatigue Properties ◽  
Aviation Industry ◽  
Efficient Design ◽  
Engineering Structures

Multi-material-design offers high potential for weight saving and optimization of engineering structures but inherits challenges as well, especially robust joining methods and long-term properties of hybrid structures. The application of joining techniques like ultrasonic welding allows a very efficient design of multi-material-components to enable further use of material specific advantages and are superior concerning mechanical properties.The Institute of Materials Science and Engineering of the University of Kaiserslautern (WKK) has a long-time experience on ultrasonic welding of dissimilar materials, for example different kinds of CFRP, light metals, steels or even glasses and ceramics. The mechanical properties are mostly optimized by using ideal process parameters, determined through statistical test planning methods.This gained knowledge is now to be transferred to application in aviation industry in cooperation with CTC GmbH and Airbus Operations GmbH. Therefore aircraft-related materials are joined by ultrasonic welding. The applied process parameters are recorded and analyzed in detail to be interlinked with the resulting mechanical properties of the hybrid joints. Aircraft derived multi-material demonstrators will be designed, manufactured and characterized with respect to their monotonic and fatigue properties as well as their resistance to aging.

Material Design Strategy for Halide Solid Electrolytes Li3MX6 (X = Cl, Br, and I) for All-Solid-State High-Voltage Li-Ion Batteries

2021 ◽  
Author(s):  
Kwangnam Kim ◽  
Dongsu Park ◽  
Hun-Gi Jung ◽  
Kyung Yoon Chung ◽  
Joon Hyung Shim ◽  
...  
Keyword(s):  
Solid State ◽  
High Voltage ◽  
Solid Electrolytes ◽  
Material Design ◽  
Design Strategy ◽  
Li Ion Batteries ◽  
Li Ion
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