Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Umar Farooq Ghumman"'
Autor:
Umar Farooq Ghumman, Qihua Chen, Vincent E. D’Angelo, Michael Clark, Jie Chen, Kenneth R. Shull, Wei Chen
Publikováno v:
ACS Applied Materials & Interfaces.
Publikováno v:
Journal of Manufacturing Science and Engineering. 145
Additive manufacturing (AM) simulations offer an alternative to expensive AM experiments to study the effects of processing conditions on granular microstructures. Existing AM simulations lack support from reliable validation techniques. The stochast
Autor:
Marc J. Palmeri, Michael Deagen, Bingyin Hu, Umar Farooq Ghumman, L. Catherine Brinson, James P. McCusker, Deborah L. McGuinness, Anqi Lin, Linda S. Schadler, Wei Chen
Publikováno v:
ACS macro letters. 9(8)
With the advent of the materials genome initiative (MGI) in the United States and a similar focus on materials data around the world, a number of materials data resources and associated vocabularies, tools, and repositories have been developed. While
Autor:
TeYu Chien, Anton van Beek, Ganesh Balasubramanian, Joydeep Munshi, Wei Chen, Umar Farooq Ghumman
Publikováno v:
Volume 3B: 47th Design Automation Conference (DAC).
Despite their lower weight, cheaper production cost, and diminished demand of metals, Organic Photovoltaic Cells (OPVCs) have not replaced conventional solar cells. The reason for this is their relatively low power conversion efficiency that could be
Autor:
Joydeep Munshi, Ganesh Balasubramanian, Wei Chen, Matthew Plumlee, Siyu Tao, Umar Farooq Ghumman, Anton van Beek, Daniel W. Apley, TeYu Chien
Objective-driven adaptive sampling is a widely used tool for the optimization of deterministic black-box functions. However, the optimization of stochastic simulation models as found in the engineering, biological, and social sciences is still an elu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::412d2a776019613f49cf2c335aa21e41
https://doi.org/10.1115/1.0002177v
https://doi.org/10.1115/1.0002177v
Autor:
Rabindra Dulal, Wei Chen, Joydeep Munshi, Ganesh Balasubramanian, Umar Farooq Ghumman, TeYu Chien, Akshay Iyer
Publikováno v:
Journal of Polymer Science Part B: Polymer Physics. 57:895-903
Autor:
Umar Farooq Ghumman, Anton van Beek, Joydeep Munshi, TeYu Chien, Ganesh Balasubramanian, Wei Chen
Publikováno v:
Computational Materials Science. 211:111491
Autor:
Rabindra Dulal, Akshay Iyer, Ganesh Balasubramanian, Joydeep Munshi, Umar Farooq Ghumman, TeYu Chien, Wei Chen
Publikováno v:
Computational Materials Science. 155:112-115
Organic solar cells (OSC) based on semiconducting polymers and electron-acceptor fullerene materials have shown tremendous promise in the past decade as an inexpensive and environment friendly renewable energy source. Morphology of the bulkheterojuct
Autor:
Anton van Beek, Wei Chen, Matthew Plumlee, Umar Farooq Ghumman, Ganesh Balasubramanian, Daniel W. Apley, Siyu Tao, Joydeep Munshi, TeYu Chien
Publikováno v:
Journal of Mechanical Design. 143
In this study, we propose a scalable batch sampling scheme for optimization of simulation models with spatially varying noise. The proposed scheme has two primary advantages: (i) reduced simulation cost by recommending batches of samples at carefully
Publikováno v:
2020 International Symposium on Flexible Automation.
Additive Manufacturing (AM) simulations are often employed to replace the expensive experiments to study the effects of processing conditions. In process modeling, one of the key limitations is the lack of reliable validation techniques. The stochast