Materials integrity in microsystems: a framework for a petascale predictive-science-based multiscale modeling and simulation system
Microsystems have become an integral part of our lives and can be found in homeland security, medical science, aerospace applications and beyond. Many critical microsystem applications are in harsh environments, in which long-term reliability needs to be guaranteed and repair is not feasible. For ex...
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Veröffentlicht in: | Computational mechanics 2008-09, Vol.42 (4), p.485-510 |
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creator | To, Albert C. Liu, Wing Kam Olson, Gregory B. Belytschko, Ted Chen, Wei Shephard, Mark S. Chung, Yip-Wah Ghanem, Roger Voorhees, Peter W. Seidman, David N. Wolverton, Chris Chen, J. S. Moran, Brian Freeman, Arthur J. Tian, Rong Luo, Xiaojuan Lautenschlager, Eric Challoner, A. Dorian |
description | Microsystems have become an integral part of our lives and can be found in homeland security, medical science, aerospace applications and beyond. Many critical microsystem applications are in harsh environments, in which long-term reliability needs to be guaranteed and repair is not feasible. For example, gyroscope microsystems on satellites need to function for over 20 years under severe radiation, thermal cycling, and shock loading. Hence a predictive-science-based, verified and validated computational models and algorithms to predict the performance and materials integrity of microsystems in these situations is needed. Confidence in these predictions is improved by quantifying uncertainties and approximation errors. With no full system testing and limited sub-system testings, petascale computing is certainly necessary to span both time and space scales and to reduce the uncertainty in the prediction of long-term reliability. This paper presents the necessary steps to develop predictive-science-based multiscale modeling and simulation system. The development of this system will be focused on the prediction of the long-term performance of a gyroscope microsystem. The environmental effects to be considered include radiation, thermo-mechanical cycling and shock. Since there will be many material performance issues, attention is restricted to creep resulting from thermal aging and radiation-enhanced mass diffusion, material instability due to radiation and thermo-mechanical cycling and damage and fracture due to shock. To meet these challenges, we aim to develop an integrated multiscale software analysis system that spans the length scales from the atomistic scale to the scale of the device. The proposed software system will include molecular mechanics, phase field evolution, micromechanics and continuum mechanics software, and the state-of-the-art model identification strategies where atomistic properties are calibrated by quantum calculations. We aim to predict the long-term (in excess of 20 years) integrity of the resonator, electrode base, multilayer metallic bonding pads, and vacuum seals in a prescribed mission. Although multiscale simulations are efficient in the sense that they focus the most computationally intensive models and methods on only the portions of the space–time domain needed, the execution of the multiscale simulations associated with evaluating materials and device integrity for aerospace microsystems will require the application of pe |
doi_str_mv | 10.1007/s00466-008-0267-1 |
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S. ; Moran, Brian ; Freeman, Arthur J. ; Tian, Rong ; Luo, Xiaojuan ; Lautenschlager, Eric ; Challoner, A. Dorian</creator><creatorcontrib>To, Albert C. ; Liu, Wing Kam ; Olson, Gregory B. ; Belytschko, Ted ; Chen, Wei ; Shephard, Mark S. ; Chung, Yip-Wah ; Ghanem, Roger ; Voorhees, Peter W. ; Seidman, David N. ; Wolverton, Chris ; Chen, J. S. ; Moran, Brian ; Freeman, Arthur J. ; Tian, Rong ; Luo, Xiaojuan ; Lautenschlager, Eric ; Challoner, A. Dorian</creatorcontrib><description>Microsystems have become an integral part of our lives and can be found in homeland security, medical science, aerospace applications and beyond. Many critical microsystem applications are in harsh environments, in which long-term reliability needs to be guaranteed and repair is not feasible. For example, gyroscope microsystems on satellites need to function for over 20 years under severe radiation, thermal cycling, and shock loading. Hence a predictive-science-based, verified and validated computational models and algorithms to predict the performance and materials integrity of microsystems in these situations is needed. Confidence in these predictions is improved by quantifying uncertainties and approximation errors. With no full system testing and limited sub-system testings, petascale computing is certainly necessary to span both time and space scales and to reduce the uncertainty in the prediction of long-term reliability. This paper presents the necessary steps to develop predictive-science-based multiscale modeling and simulation system. The development of this system will be focused on the prediction of the long-term performance of a gyroscope microsystem. The environmental effects to be considered include radiation, thermo-mechanical cycling and shock. Since there will be many material performance issues, attention is restricted to creep resulting from thermal aging and radiation-enhanced mass diffusion, material instability due to radiation and thermo-mechanical cycling and damage and fracture due to shock. To meet these challenges, we aim to develop an integrated multiscale software analysis system that spans the length scales from the atomistic scale to the scale of the device. The proposed software system will include molecular mechanics, phase field evolution, micromechanics and continuum mechanics software, and the state-of-the-art model identification strategies where atomistic properties are calibrated by quantum calculations. We aim to predict the long-term (in excess of 20 years) integrity of the resonator, electrode base, multilayer metallic bonding pads, and vacuum seals in a prescribed mission. Although multiscale simulations are efficient in the sense that they focus the most computationally intensive models and methods on only the portions of the space–time domain needed, the execution of the multiscale simulations associated with evaluating materials and device integrity for aerospace microsystems will require the application of petascale computing. A component-based software strategy will be used in the development of our massively parallel multiscale simulation system. This approach will allow us to take full advantage of existing single scale modeling components. An extensive, pervasive thrust in the software system development is verification, validation, and uncertainty quantification (UQ). Each component and the integrated software system need to be carefully verified. An UQ methodology that determines the quality of predictive information available from experimental measurements and packages the information in a form suitable for UQ at various scales needs to be developed. Experiments to validate the model at the nanoscale, microscale, and macroscale are proposed. The development of a petascale predictive-science-based multiscale modeling and simulation system will advance the field of predictive multiscale science so that it can be used to reliably analyze problems of unprecedented complexity, where limited testing resources can be adequately replaced by petascale computational power, advanced verification, validation, and UQ methodologies.</description><identifier>ISSN: 0178-7675</identifier><identifier>EISSN: 1432-0924</identifier><identifier>DOI: 10.1007/s00466-008-0267-1</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>Algorithms ; Classical and Continuum Physics ; Computational Science and Engineering ; Computer simulation ; Continuum mechanics ; Creep (materials) ; Engineering ; Environmental effects ; Integrity ; Medical science ; Micromechanics ; Multilayers ; Multiscale analysis ; National security ; Original Paper ; Predictions ; Program verification (computers) ; Radiation damage ; Reliability ; Science ; Shock loading ; Simulation ; Software ; Stability ; Theoretical and Applied Mechanics ; Thermal cycling ; Uncertainty</subject><ispartof>Computational mechanics, 2008-09, Vol.42 (4), p.485-510</ispartof><rights>Springer-Verlag 2008</rights><rights>Computational Mechanics is a copyright of Springer, (2008). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-9a966307098e3a8cd6283f5fbe508c2755cfbe822be8919cb4bdf4a0bd895e553</citedby><cites>FETCH-LOGICAL-c316t-9a966307098e3a8cd6283f5fbe508c2755cfbe822be8919cb4bdf4a0bd895e553</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00466-008-0267-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00466-008-0267-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51298</link.rule.ids></links><search><creatorcontrib>To, Albert C.</creatorcontrib><creatorcontrib>Liu, Wing Kam</creatorcontrib><creatorcontrib>Olson, Gregory B.</creatorcontrib><creatorcontrib>Belytschko, Ted</creatorcontrib><creatorcontrib>Chen, Wei</creatorcontrib><creatorcontrib>Shephard, Mark S.</creatorcontrib><creatorcontrib>Chung, Yip-Wah</creatorcontrib><creatorcontrib>Ghanem, Roger</creatorcontrib><creatorcontrib>Voorhees, Peter W.</creatorcontrib><creatorcontrib>Seidman, David N.</creatorcontrib><creatorcontrib>Wolverton, Chris</creatorcontrib><creatorcontrib>Chen, J. S.</creatorcontrib><creatorcontrib>Moran, Brian</creatorcontrib><creatorcontrib>Freeman, Arthur J.</creatorcontrib><creatorcontrib>Tian, Rong</creatorcontrib><creatorcontrib>Luo, Xiaojuan</creatorcontrib><creatorcontrib>Lautenschlager, Eric</creatorcontrib><creatorcontrib>Challoner, A. Dorian</creatorcontrib><title>Materials integrity in microsystems: a framework for a petascale predictive-science-based multiscale modeling and simulation system</title><title>Computational mechanics</title><addtitle>Comput Mech</addtitle><description>Microsystems have become an integral part of our lives and can be found in homeland security, medical science, aerospace applications and beyond. Many critical microsystem applications are in harsh environments, in which long-term reliability needs to be guaranteed and repair is not feasible. For example, gyroscope microsystems on satellites need to function for over 20 years under severe radiation, thermal cycling, and shock loading. Hence a predictive-science-based, verified and validated computational models and algorithms to predict the performance and materials integrity of microsystems in these situations is needed. Confidence in these predictions is improved by quantifying uncertainties and approximation errors. With no full system testing and limited sub-system testings, petascale computing is certainly necessary to span both time and space scales and to reduce the uncertainty in the prediction of long-term reliability. This paper presents the necessary steps to develop predictive-science-based multiscale modeling and simulation system. The development of this system will be focused on the prediction of the long-term performance of a gyroscope microsystem. The environmental effects to be considered include radiation, thermo-mechanical cycling and shock. Since there will be many material performance issues, attention is restricted to creep resulting from thermal aging and radiation-enhanced mass diffusion, material instability due to radiation and thermo-mechanical cycling and damage and fracture due to shock. To meet these challenges, we aim to develop an integrated multiscale software analysis system that spans the length scales from the atomistic scale to the scale of the device. The proposed software system will include molecular mechanics, phase field evolution, micromechanics and continuum mechanics software, and the state-of-the-art model identification strategies where atomistic properties are calibrated by quantum calculations. We aim to predict the long-term (in excess of 20 years) integrity of the resonator, electrode base, multilayer metallic bonding pads, and vacuum seals in a prescribed mission. Although multiscale simulations are efficient in the sense that they focus the most computationally intensive models and methods on only the portions of the space–time domain needed, the execution of the multiscale simulations associated with evaluating materials and device integrity for aerospace microsystems will require the application of petascale computing. A component-based software strategy will be used in the development of our massively parallel multiscale simulation system. This approach will allow us to take full advantage of existing single scale modeling components. An extensive, pervasive thrust in the software system development is verification, validation, and uncertainty quantification (UQ). Each component and the integrated software system need to be carefully verified. An UQ methodology that determines the quality of predictive information available from experimental measurements and packages the information in a form suitable for UQ at various scales needs to be developed. Experiments to validate the model at the nanoscale, microscale, and macroscale are proposed. The development of a petascale predictive-science-based multiscale modeling and simulation system will advance the field of predictive multiscale science so that it can be used to reliably analyze problems of unprecedented complexity, where limited testing resources can be adequately replaced by petascale computational power, advanced verification, validation, and UQ methodologies.</description><subject>Algorithms</subject><subject>Classical and Continuum Physics</subject><subject>Computational Science and Engineering</subject><subject>Computer simulation</subject><subject>Continuum mechanics</subject><subject>Creep (materials)</subject><subject>Engineering</subject><subject>Environmental effects</subject><subject>Integrity</subject><subject>Medical science</subject><subject>Micromechanics</subject><subject>Multilayers</subject><subject>Multiscale analysis</subject><subject>National security</subject><subject>Original Paper</subject><subject>Predictions</subject><subject>Program verification (computers)</subject><subject>Radiation damage</subject><subject>Reliability</subject><subject>Science</subject><subject>Shock loading</subject><subject>Simulation</subject><subject>Software</subject><subject>Stability</subject><subject>Theoretical and Applied Mechanics</subject><subject>Thermal cycling</subject><subject>Uncertainty</subject><issn>0178-7675</issn><issn>1432-0924</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp1kD1PHDEQhi2USFyO_AA6S9QOY3vt9dJFiEAkEA3Ultc7ezLZr9g-0NX88fi0SKlo5kPzvjOjh5BzDj84QH2ZACqtGYBhIHTN-AnZ8EoKBo2ovpAN8NqwWtfqlHxL6QWAKyPVhrw_uIwxuCHRMGXcxZAPpaJj8HFOh5RxTFfU0T66Ed_m-If2cyz9gtkl7wakS8Qu-BxekSUfcPLIWpewo-N-yGHVjHOHQ5h21E0dTaFMXA7zRNcDZ-RrXx7A7x95S55_3Txd37H7x9vf1z_vmZdcZ9a4RmsJNTQGpTO-08LIXvUtKjBe1Er5UhshSmh449uq7frKQduZRqFScksu1r1LnP_uMWX7Mu_jVE5aITSX3GhpioqvqiOAFLG3SwyjiwfLwR5Z25W1LaztkbXlxSNWTyraaYfx_-bPTf8ANxGE3Q</recordid><startdate>20080901</startdate><enddate>20080901</enddate><creator>To, Albert C.</creator><creator>Liu, Wing Kam</creator><creator>Olson, Gregory B.</creator><creator>Belytschko, Ted</creator><creator>Chen, Wei</creator><creator>Shephard, Mark S.</creator><creator>Chung, Yip-Wah</creator><creator>Ghanem, Roger</creator><creator>Voorhees, Peter W.</creator><creator>Seidman, David N.</creator><creator>Wolverton, Chris</creator><creator>Chen, J. 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Dorian</creator><general>Springer-Verlag</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20080901</creationdate><title>Materials integrity in microsystems: a framework for a petascale predictive-science-based multiscale modeling and simulation system</title><author>To, Albert C. ; Liu, Wing Kam ; Olson, Gregory B. ; Belytschko, Ted ; Chen, Wei ; Shephard, Mark S. ; Chung, Yip-Wah ; Ghanem, Roger ; Voorhees, Peter W. ; Seidman, David N. ; Wolverton, Chris ; Chen, J. S. ; Moran, Brian ; Freeman, Arthur J. ; Tian, Rong ; Luo, Xiaojuan ; Lautenschlager, Eric ; Challoner, A. 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Dorian</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>Computational mechanics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>To, Albert C.</au><au>Liu, Wing Kam</au><au>Olson, Gregory B.</au><au>Belytschko, Ted</au><au>Chen, Wei</au><au>Shephard, Mark S.</au><au>Chung, Yip-Wah</au><au>Ghanem, Roger</au><au>Voorhees, Peter W.</au><au>Seidman, David N.</au><au>Wolverton, Chris</au><au>Chen, J. S.</au><au>Moran, Brian</au><au>Freeman, Arthur J.</au><au>Tian, Rong</au><au>Luo, Xiaojuan</au><au>Lautenschlager, Eric</au><au>Challoner, A. Dorian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Materials integrity in microsystems: a framework for a petascale predictive-science-based multiscale modeling and simulation system</atitle><jtitle>Computational mechanics</jtitle><stitle>Comput Mech</stitle><date>2008-09-01</date><risdate>2008</risdate><volume>42</volume><issue>4</issue><spage>485</spage><epage>510</epage><pages>485-510</pages><issn>0178-7675</issn><eissn>1432-0924</eissn><abstract>Microsystems have become an integral part of our lives and can be found in homeland security, medical science, aerospace applications and beyond. Many critical microsystem applications are in harsh environments, in which long-term reliability needs to be guaranteed and repair is not feasible. For example, gyroscope microsystems on satellites need to function for over 20 years under severe radiation, thermal cycling, and shock loading. Hence a predictive-science-based, verified and validated computational models and algorithms to predict the performance and materials integrity of microsystems in these situations is needed. Confidence in these predictions is improved by quantifying uncertainties and approximation errors. With no full system testing and limited sub-system testings, petascale computing is certainly necessary to span both time and space scales and to reduce the uncertainty in the prediction of long-term reliability. This paper presents the necessary steps to develop predictive-science-based multiscale modeling and simulation system. The development of this system will be focused on the prediction of the long-term performance of a gyroscope microsystem. The environmental effects to be considered include radiation, thermo-mechanical cycling and shock. Since there will be many material performance issues, attention is restricted to creep resulting from thermal aging and radiation-enhanced mass diffusion, material instability due to radiation and thermo-mechanical cycling and damage and fracture due to shock. To meet these challenges, we aim to develop an integrated multiscale software analysis system that spans the length scales from the atomistic scale to the scale of the device. The proposed software system will include molecular mechanics, phase field evolution, micromechanics and continuum mechanics software, and the state-of-the-art model identification strategies where atomistic properties are calibrated by quantum calculations. We aim to predict the long-term (in excess of 20 years) integrity of the resonator, electrode base, multilayer metallic bonding pads, and vacuum seals in a prescribed mission. Although multiscale simulations are efficient in the sense that they focus the most computationally intensive models and methods on only the portions of the space–time domain needed, the execution of the multiscale simulations associated with evaluating materials and device integrity for aerospace microsystems will require the application of petascale computing. A component-based software strategy will be used in the development of our massively parallel multiscale simulation system. This approach will allow us to take full advantage of existing single scale modeling components. An extensive, pervasive thrust in the software system development is verification, validation, and uncertainty quantification (UQ). Each component and the integrated software system need to be carefully verified. An UQ methodology that determines the quality of predictive information available from experimental measurements and packages the information in a form suitable for UQ at various scales needs to be developed. Experiments to validate the model at the nanoscale, microscale, and macroscale are proposed. The development of a petascale predictive-science-based multiscale modeling and simulation system will advance the field of predictive multiscale science so that it can be used to reliably analyze problems of unprecedented complexity, where limited testing resources can be adequately replaced by petascale computational power, advanced verification, validation, and UQ methodologies.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><doi>10.1007/s00466-008-0267-1</doi><tpages>26</tpages></addata></record> |
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subjects | Algorithms Classical and Continuum Physics Computational Science and Engineering Computer simulation Continuum mechanics Creep (materials) Engineering Environmental effects Integrity Medical science Micromechanics Multilayers Multiscale analysis National security Original Paper Predictions Program verification (computers) Radiation damage Reliability Science Shock loading Simulation Software Stability Theoretical and Applied Mechanics Thermal cycling Uncertainty |
title | Materials integrity in microsystems: a framework for a petascale predictive-science-based multiscale modeling and simulation system |
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