Institution
Ford Motor Company
Company•Dearborn, Michigan, United States•
About: Ford Motor Company is a company organization based out in Dearborn, Michigan, United States. It is known for research contribution in the topics: Internal combustion engine & Signal. The organization has 36123 authors who have published 51450 publications receiving 855200 citations. The organization is also known as: Ford Motor & Ford Motor Corporation.
Topics: Internal combustion engine, Signal, Clutch, Control theory, Torque
Papers published on a yearly basis
Papers
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TL;DR: In this article, the recent advances in 3D printing of emerging batteries are emphasized and discussed, and major challenges are discussed and potential research frontiers in developing 3D-printed batteries are proposed.
Abstract: Additive manufacturing, i.e., 3D printing, is being increasingly utilized to fabricate a variety of complex-shaped electronics and energy devices (e.g., batteries, supercapacitors, and solar cells) due to its excellent process flexibility, good geometry controllability, as well as cost and material waste reduction. In this review, the recent advances in 3D printing of emerging batteries are emphasized and discussed. The recent progress in fabricating 3D-printed batteries through the major 3D-printing methods, including lithographybased 3D printing, template-assisted electrodeposition-based 3D printing, inkjet printing, direct ink writing, fused deposition modeling, and aerosol jet printing, are first summarized. Then, the significant achievements made in the development and printing of battery electrodes and electrolytes are highlighted. Finally, major challenges are discussed and potential research frontiers in developing 3D-printed batteries are proposed. It is expected that with the continuous development of printing techniques and materials, 3D-printed batteries with long-term durability, favorable safety as well as high energy and power density will eventually be widely used in many fields.
157 citations
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TL;DR: Current data on cytokinetics, signaling pathways and vascular niche that are involved in processes of proliferation, differentiation, and migration of neural progenitor cells after stroke are reviewed.
156 citations
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TL;DR: In this paper, the effect of varying the relative amounts of ingredients in a brake friction material containing 12 ingredients was investigated by measuring the difference between kinetic (μ k ) and static (μ s ) coefficients of friction for each formulation.
156 citations
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156 citations
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TL;DR: A theoretical study of two ultrasmall-capacitance normal tunnel junctions connected in series and driven by a dc voltage source, using the semiclassical junction approach shows that the two junctions in series display a voltage offset similar to that of a single junction that isdriven by a current source.
Abstract: We present a theoretical study of two ultrasmall-capacitance normal tunnel junctions connected in series and driven by a dc voltage source, using the semiclassical junction approach. We show that the two junctions in series display a voltage offset similar to that of a single junction that is driven by a current source. We also show that two junctions in series can, for the right set of parameters, produce an I-V curve with distinct steps. A parallel array of such series units shows similar behavior. We suggest specific experimental realizations of two junctions in series and the parallel array using a scanning tunneling microscope and a granular array of small metal drops. We also compare our predictions with experiments in the literature.
156 citations
Authors
Showing all 36140 results
Name | H-index | Papers | Citations |
---|---|---|---|
Anil K. Jain | 183 | 1016 | 192151 |
Markus Antonietti | 176 | 1068 | 127235 |
Christopher M. Dobson | 150 | 1008 | 105475 |
Jack Hirsh | 146 | 734 | 86332 |
Galen D. Stucky | 144 | 958 | 101796 |
Federico Capasso | 134 | 1189 | 76957 |
Peter Stone | 130 | 1229 | 79713 |
Gerald R. Crabtree | 128 | 371 | 60973 |
Douglas A. Lauffenburger | 122 | 705 | 55326 |
Abass Alavi | 113 | 1298 | 56672 |
Mark E. Davis | 113 | 568 | 55334 |
Keith Beven | 110 | 514 | 61705 |
Naomi Breslau | 107 | 254 | 42029 |
Fei Wang | 107 | 1824 | 53587 |
Jun Yang | 107 | 2090 | 55257 |