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Institution

Michigan Technological University

EducationHoughton, Michigan, United States
About: Michigan Technological University is a education organization based out in Houghton, Michigan, United States. It is known for research contribution in the topics: Population & Volcano. The organization has 8023 authors who have published 17422 publications receiving 481780 citations. The organization is also known as: MTU & Michigan Tech.


Papers
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Journal ArticleDOI
TL;DR: In this article, a series of experiments were performed to characterize the morphologic distribution of nonaqueous-phase liquids (NAPL's) at residual saturation, as a function of porous medium size.

128 citations

Journal ArticleDOI
TL;DR: The results show that the proposed OILM model, in conjunction with communication and control infrastructures at the customer and LDC levels, would allow optimal operation of industrial EHMSs in smart grids.
Abstract: This paper presents the development of a generic optimal industrial load management (OILM) model, which can be readily incorporated into energy hub management systems (EHMSs) for industrial customers, in interaction with local distribution companies (LDCs), for automated and optimal scheduling of their processes. The mathematical models comprise an objective function to minimize the total energy costs and/or demand charges for industrial customers, and a set of equality and inequality constraints to represent the industrial process, storage units, distribution system components, operator's requirements, and other relevant constraints. The effectiveness of the proposed OILM model is demonstrated in two industrial customers: 1) a flour mill; and 2) a water pumping facility. The results show that the proposed OILM model, in conjunction with communication and control infrastructures at the customer and LDC levels, would allow optimal operation of industrial EHMSs in smart grids.

128 citations

Journal ArticleDOI
TL;DR: In this article, the authors used a regression discontinuity (RD) analysis to determine the effectiveness of the spatial intervention and found that there was a discontinuity or jump in the regression intercepts at the cutoff score of the pretest variable.

128 citations

Journal ArticleDOI
TL;DR: A method for determining an ROI for the development of scientific free and open source hardware (FOSH) and a case study is presented of a syringe pump released under open license, which results in ROIs for funders ranging from hundreds to thousands of percent after only a few months.
Abstract: The availability of free and open source hardware designs that can be replicated with low-cost 3-D printers provide large values to scientists that need highly-customized low-volume production scientific equipment. Digital manufacturing technologies have only recently become widespread and the return on investment (ROI) was not clear, so funding for open hardware development was historically sparse. This paper clarifies a method for determining an ROI for FOSH scientific hardware development. By using open source hardware design that can be manufactured digitally the relatively minor development costs result in enormous ROIs for the scientific community. A case study is presented of an syringe pump released under open-licenses, which results in ROIs for funders ranging from 100s to 1,000s of percent after only a few months. It is clear that policies encouraging free and open source scientific hardware development should be made by organizations interested in maximizing return on public investments for science.

128 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used bio-oil generated from sawdust as a rejuvenator to recycle aged asphalt and found that the bio-rejuvenator decreases viscosity and activation energy, while increasing the temperature susceptibility and the content of viscous components of the aged asphalts.

128 citations


Authors

Showing all 8104 results

NameH-indexPapersCitations
Anil K. Jain1831016192151
Marc W. Kirschner162457102145
Yonggang Huang13679769290
Hong Wang110163351811
Fei Wang107182453587
Emanuele Bonamente10521940826
Haoshen Zhou10451937609
Nicholas J. Turro104113153827
Yang Shao-Horn10245849463
Richard P. Novick9929534542
Markus J. Buehler9560933054
Martin L. Yarmush9170234591
Alan Robock9034627022
Patrick M. Schlievert9044432037
Lonnie O. Ingram8831622217
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202349
2022154
2021882
2020891
2019892
2018893