Conferences related to Materials Science

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2021 IEEE Photovoltaic Specialists Conference (PVSC)

Photovoltaic materials, devices, systems and related science and technology


2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 IEEE 21st International Conference on Vacuum Electronics (IVEC)

Technical presentations will range from the fundamental physics of electron emission and modulated electron beams to the design and operation of devices at UHF to THz frequencies, theory and computational tool development, active and passive components, systems, and supporting technologies.System developers will find that IVEC provides a unique snapshot of the current state-of-the-art in vacuum electron devices. These devices continue to provide unmatched power and performance for advanced electromagnetic systems, particularly in the challenging frequency regimes of millimeter-wave and THz electronics.Plenary talks will provide insights into the history, the broad spectrum of fundamental physics, the scientific issues, and the technological applications driving the current directions in vacuum electronics research.


2020 IEEE 70th Electronic Components and Technology Conference (ECTC)

ECTC is the premier international conference sponsored by the IEEE Components, Packaging and Manufacturing Society. ECTC paper comprise a wide spectrum of topics, including 3D packaging, electronic components, materials, assembly, interconnections, device and system packaging, optoelectronics, reliability, and simulation.


2020 IEEE Frontiers in Education Conference (FIE)

The Frontiers in Education (FIE) Conference is a major international conference focusing on educational innovations and research in engineering and computing education. FIE 2019 continues a long tradition of disseminating results in engineering and computing education. It is an ideal forum for sharing ideas, learning about developments and interacting with colleagues inthese fields.


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Periodicals related to Materials Science

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Advanced Packaging, IEEE Transactions on

The IEEE Transactions on Advanced Packaging has its focus on the modeling, design, and analysis of advanced electronic, photonic, sensors, and MEMS packaging.


Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


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Most published Xplore authors for Materials Science

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Xplore Articles related to Materials Science

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Can Virtual Reality Enhance Learning: A Case Study in Materials Science

2018 IEEE Frontiers in Education Conference (FIE), 2018

This Innovative Practice Work in Progress tests whether virtual reality (VR) can enhance students' understanding in scientific fields, specifically Materials Science and Engineering (MSE), when compared to more traditional approaches. Of interest is how VR-based learning activities impact the performance of individuals with experience ranging from none to expert level in MSE compared to paper-based learning activities. To test this, ...


Can adding discussion-only active learning increase student learning in materials science class?

2018 IEEE Frontiers in Education Conference (FIE), 2018

This Research-to-Practice Full Paper describes how Active Learning (AL) was implemented in two discussion sections of an “Introduction to Materials Science” course in a large classroom with 172 students. We studied the effect of group work on students' learning, and whether 50 minutes of AL is sufficient to increase students' performance in this course. To do so, worksheets for the ...


Computational materials science and industrial R&D: accelerating progress

Computing in Science & Engineering, 2001

Computational materials research has made major advances over the past decade (1991-2001) in accelerating the design, processing and property optimization of technologically important materials. Material simulation is still in its infancy, however, as the nature of materials problems are so complex. Fortunately, as computational power has grown, so too has our ability to attack increasingly challenging materials problems and pose ...


Exposing freshman to microelectronics fabrication as part of an innovative materials science course

Proceedings of the Fourteenth Biennial University/Government/Industry Microelectronics Symposium (Cat. No.01CH37197), 2001

An innovative materials science course for first year students has been developed with the support of the National Science Foundation. The goal of this course is for students to be able to make design decisions based on experimental data. To attain this goal, an interactive recitation has replaced the lecture as the key learning experience, and the laboratory exercises are ...


Expert systems in materials science and engineering

Proceedings [1990] IEEE Conference on Managing Expert System Programs and Projects, 1990

Since 1982 the US National Association of Corrosion Engineers (NACE) and the US National Institute of Standards and Technology (NIST) have collaborated under the NACE-NIST Corrosion Data Program to develop data resources of interest to the materials science and engineering communities. These resources have included expert systems, which have focused primarily on materials selection and usage applications in industry. A ...


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Educational Resources on Materials Science

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IEEE.tv Videos

Care Innovations: Green Engineering (com legendas em portugues)
Materials Challenges for Next-Generation, High-Density Magnetic Recording - Kazuhiro Hono: IEEE Magnetics Distinguished Lecture 2016
Magnetic Materials and Magnetic Devices - Josep Fontcuberta: IEEE Magnetics Distinguished Lecture 2016
Honors 2020: Borys Paton Wins the IEEE Honorary Membership
High Magnetic Field Science and its Application in the US - ASC-2014 Plenary series - 10 of 13 - Friday 2014/8/15
IROS TV 2019- Istituto Italiano di Tecnologia (IIT)- Human Centered Science and Technologies
Magnetics + Mechanics + Nanoscale = Electromagnetics Future - Greg P. Carman: IEEE Magnetics Distinguished Lecture 2016
ASC-2014 SQUIDs 50th Anniversary: 3 of 6 - Bob Fagaly
IMS 2012 Microapps - Bonding Materials used in Multilayer Microwave PCB Applications
Spatial-Spectral Materials for High Performance Optical Processing - IEEE Rebooting Computing 2017
EMBC 2011-Keynote-From Nature and Back Again ... Giving New Life to Materials for Energy, Electronics, Medicine and the Environment - Angela Belcher, PhD
Robotics History: Narratives and Networks Oral Histories: Carme Torras
Developing Our Quantum Future - Krysta Svore Keynote - ICRC San Mateo, 2019
Microfluidic diagnostics and other breakthrough technologies.
The Josephson Effect: SQUIDs Then and Now: From SLUGS to Axions
Mildred Dresselhaus: IEEE Medal of Honor 2015
Dream Jobs In Engineering
Superconductors for the Future from the Perspective of the Past
Unconventional Superconductivity: From History to Mystery
Wanda Reder: Educational Materials for Expert and Non-Expert — IEEE Power and Energy Society’s “Plain Talk” — Studio Tech Talks: Sections Congress 2017

IEEE-USA E-Books

  • Can Virtual Reality Enhance Learning: A Case Study in Materials Science

    This Innovative Practice Work in Progress tests whether virtual reality (VR) can enhance students' understanding in scientific fields, specifically Materials Science and Engineering (MSE), when compared to more traditional approaches. Of interest is how VR-based learning activities impact the performance of individuals with experience ranging from none to expert level in MSE compared to paper-based learning activities. To test this, an activity related to crystal structures, similar to what students would see in an introductory level MSE course, was administered to a group of students with varying knowledge levels in MSE. Each participant completed the same worksheet in either VR or on paper. The testing group was composed of seven students, which was too small of a sample size to draw definitive conclusions, yet significant observations could be made. On questions that required recall of prior knowledge, participants using paper-based activities generally performed better, whereas on questions requiring more spatial reasoning and critical thinking, VR participants generally performed better. Most of the participants reported enjoying the VR activities and platform, indicating high usability. These results suggest that VR may be beneficial in teaching complex spatial concepts.

  • Can adding discussion-only active learning increase student learning in materials science class?

    This Research-to-Practice Full Paper describes how Active Learning (AL) was implemented in two discussion sections of an “Introduction to Materials Science” course in a large classroom with 172 students. We studied the effect of group work on students' learning, and whether 50 minutes of AL is sufficient to increase students' performance in this course. To do so, worksheets for the discussion sections were designed. There were four discussion sections, two of which were chosen as the treatment group. In the treatment group the students worked on a worksheet of problems in groups of 3 while a teaching assistant was present to answer their questions. In other sections, the control group, the same problems were presented using PowerPoint slides and solved by the same teaching assistant. To assess students' learning, their performance in two midterm exams and the final exam are considered. Moreover, to evaluate students' interest in engineering, the Jones et al. (2010) survey was used to study students' motivation and interest in engineering. We found implementing AL for a short amount of time in each week did not change students' performance. We hope this paper will encourage educators to spend more time on AL, in their classrooms.

  • Computational materials science and industrial R&D: accelerating progress

    Computational materials research has made major advances over the past decade (1991-2001) in accelerating the design, processing and property optimization of technologically important materials. Material simulation is still in its infancy, however, as the nature of materials problems are so complex. Fortunately, as computational power has grown, so too has our ability to attack increasingly challenging materials problems and pose increasingly difficult questions. To fully capitalize on these advances and accelerate the integration of computational materials science into day-to-day R@D, we must work to strengthen the infrastructure for computational materials research and identify, develop, and focus the resources and talents of the computational materials science research community.

  • Exposing freshman to microelectronics fabrication as part of an innovative materials science course

    An innovative materials science course for first year students has been developed with the support of the National Science Foundation. The goal of this course is for students to be able to make design decisions based on experimental data. To attain this goal, an interactive recitation has replaced the lecture as the key learning experience, and the laboratory exercises are fully integrated into the course. There is no separate laboratory component, as laboratory exercises are used to illustrate course material and required as part of the homework assignments and subject matter on examinations. When discussing relationships between electrical properties and performance, student teams take part in the fabrication of a semiconductor chip. Each team performs one step and presents their results to the class. The experience has very been successful.

  • Expert systems in materials science and engineering

    Since 1982 the US National Association of Corrosion Engineers (NACE) and the US National Institute of Standards and Technology (NIST) have collaborated under the NACE-NIST Corrosion Data Program to develop data resources of interest to the materials science and engineering communities. These resources have included expert systems, which have focused primarily on materials selection and usage applications in industry. A brief history of the program is presented, the expert systems developed therein are presented, and development methodologies are described. Particular emphasis is placed on the participation of the chemical process, oil and gas and electric power industries in the NACE-NIST Corrosion Data Program.<<ETX>>

  • The Center for Nanotechnology, Materials Science, and Microsystems

    The center for Nanotechnology, Materials Science, and Microsystems (CNMM) at the National Tsing Hua University (NTHU) was established in 2006, founded by the National Science Council (NSC). It consists of three parts, including core-facility clean rooms, the Nanomeasurement Laboratory, and a metallurgical factory. They work synergjstically to serve faculties, graduate students, and scientists within and outside the campus for their research needs.

  • Teaching electronic materials science to electrical engineering majors

    Do electrical engineers need to know about band theory and reciprocal space? Or do they just need to learn some equations for semiconductor statistics? At San Jose State University, USA, the electrical engineering curriculum has replaced a required lower division engineering materials course with an upper division lecture/lab course on the electrical, optical and magnetic properties of solids. The course is also required for Materials Engineering majors and is open to other majors as an elective. A "studio" mode is utilized, including cooperative and active learning activities in both the lecture and the lab to promote student learning of difficult concepts as well as critical thinking skills. Laboratory activities include experiments such as measuring the bandgap of a semiconductor using optical absorption as well as cooperative problem-solving workshops. The difficulty of choosing an appropriate textbook is addressed. The course was developed as part of the NSF Leadership in Laboratory Development Grant, "Cooking without Recipes". This paper discusses student feedback from the course and observations on the teaching/learning methodology.

  • Understanding interactions between instructional design, student learning styles, and student motivation and achievement in an introductory materials science course

    The goal of this ongoing classroom research effort is to better understand how students with different learning styles experience and perform in an introductory materials course. Analysis of student grades and questionnaire responses as a function of students' preferred sensory modality and Myers- Briggs Type Indicator (MBTI) type has helped to identify effective aspects of instructional design. However, it was discovered that some types of learners seem to struggle in the course. This knowledge will be used to inform subsequent changes in instructional design.

  • First-principles calculations for materials science: their power and limitations

    Summary form only given. The use of parallel computers and that of sophisticated computational algorithms has made first-principle calculations feasible also for realistic models of systems of technological interest. Several successes have been obtained recently. In spite of this, there are still a number of problems to be solved, before this type of approach can assume a leading role in the investigation of materials. This talk will report on recent applications of parameter-free molecular dynamics to a variety of systems, with emphasis on the method, on the comparison of the results with experiment, on its useful outputs and also on its current limitations.

  • Youth development training in scientific engineering in senior classes of a German “Gymnasium” A blended-learning course on Smart Materials on the basis of the materials science study course

    The present paper describes the structure, realization and evaluation of a blended-learning course on Smart Materials on the basis of the materials science study course for pupils talented and interested in natural science and engineering.



Standards related to Materials Science

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Jobs related to Materials Science

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