Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 1 to 12 of 4966 entries
Sorted by: Best Match Show Resources per page
Vibration Induced Transport of Enclosed Droplets.

Micromachines

Holmes HR, Böhringer KF.
PMID: 30669447
Micromachines (Basel). 2019 Jan 19;10(1). doi: 10.3390/mi10010069.

The droplet response to vibrations has been well characterized on open substrates, but microfluidic applications for droplets on open systems are limited by rapid evaporation rates and prone to environmental contamination. However, the response of enclosed droplets to vibration...

Cite
Holmes HR, Böhringer KF. Vibration Induced Transport of Enclosed Droplets. Micromachines (Basel). 2019;10(1)doi: 10.3390/mi10010069.
Holmes, H. R., & Böhringer, K. F. (2019). Vibration Induced Transport of Enclosed Droplets. Micromachines, 10(1), . https://doi.org/10.3390/mi10010069
Holmes, Hal R, and Böhringer, Karl F. "Vibration Induced Transport of Enclosed Droplets." Micromachines vol. 10,1 (2019). doi: https://doi.org/10.3390/mi10010069
Holmes HR, Böhringer KF. Vibration Induced Transport of Enclosed Droplets. Micromachines (Basel). 2019 Jan 19;10(1). doi: 10.3390/mi10010069. PMID: 30669447; PMCID: PMC6356547.
Copy Download .nbib Format: NLM
Asymmetrical Training Scheme of Binary-Memristor-Crossbar-Based Neural Networks for Energy-Efficient Edge-Computing Nanoscale Systems.

Micromachines

Pham KV, Tran SB, Nguyen TV, Min KS.
PMID: 30791655
Micromachines (Basel). 2019 Feb 20;10(2). doi: 10.3390/mi10020141.

For realizing neural networks with binary memristor crossbars, memristors should be programmed by high-resistance state (HRS) and low-resistance state (LRS), according to the training algorithms like backpropagation. Unfortunately, it takes a very long time and consumes a large amount...

Cite
Pham KV, Tran SB, Nguyen TV, et al. Asymmetrical Training Scheme of Binary-Memristor-Crossbar-Based Neural Networks for Energy-Efficient Edge-Computing Nanoscale Systems. Micromachines (Basel). 2019;10(2)doi: 10.3390/mi10020141.
Pham, K. V., Tran, S. B., Nguyen, T. V., & Min, K. S. (2019). Asymmetrical Training Scheme of Binary-Memristor-Crossbar-Based Neural Networks for Energy-Efficient Edge-Computing Nanoscale Systems. Micromachines, 10(2), . https://doi.org/10.3390/mi10020141
Pham, Khoa Van, et al. "Asymmetrical Training Scheme of Binary-Memristor-Crossbar-Based Neural Networks for Energy-Efficient Edge-Computing Nanoscale Systems." Micromachines vol. 10,2 (2019). doi: https://doi.org/10.3390/mi10020141
Pham KV, Tran SB, Nguyen TV, Min KS. Asymmetrical Training Scheme of Binary-Memristor-Crossbar-Based Neural Networks for Energy-Efficient Edge-Computing Nanoscale Systems. Micromachines (Basel). 2019 Feb 20;10(2). doi: 10.3390/mi10020141. PMID: 30791655; PMCID: PMC6412588.
Copy Download .nbib Format: NLM
Marine Polysaccharide-Collagen Coatings on Ti6Al4V Alloy Formed by Self-Assembly.

Micromachines

Norris K, Mishukova OI, Zykwinska A, Colliec-Jouault S, Sinquin C, Koptioug A, Cuenot S, Kerns JG, Surmeneva MA, Surmenev RA, Douglas TEL.
PMID: 30669427
Micromachines (Basel). 2019 Jan 19;10(1). doi: 10.3390/mi10010068.

Polysaccharides of marine origin are gaining interest as biomaterial components. Bacteria derived from deep-sea hydrothermal vents can produce sulfated exopolysaccharides (EPS), which can influence cell behavior. The use of such polysaccharides as components of organic, collagen fibril-based coatings on...

Cite
Norris K, Mishukova OI, Zykwinska A, et al. Marine Polysaccharide-Collagen Coatings on Ti6Al4V Alloy Formed by Self-Assembly. Micromachines (Basel). 2019;10(1)doi: 10.3390/mi10010068.
Norris, K., Mishukova, O. I., Zykwinska, A., Colliec-Jouault, S., Sinquin, C., Koptioug, A., Cuenot, S., Kerns, J. G., Surmeneva, M. A., Surmenev, R. A., & Douglas, T. E. L. (2019). Marine Polysaccharide-Collagen Coatings on Ti6Al4V Alloy Formed by Self-Assembly. Micromachines, 10(1), . https://doi.org/10.3390/mi10010068
Norris, Karl, et al. "Marine Polysaccharide-Collagen Coatings on Ti6Al4V Alloy Formed by Self-Assembly." Micromachines vol. 10,1 (2019). doi: https://doi.org/10.3390/mi10010068
Norris K, Mishukova OI, Zykwinska A, Colliec-Jouault S, Sinquin C, Koptioug A, Cuenot S, Kerns JG, Surmeneva MA, Surmenev RA, Douglas TEL. Marine Polysaccharide-Collagen Coatings on Ti6Al4V Alloy Formed by Self-Assembly. Micromachines (Basel). 2019 Jan 19;10(1). doi: 10.3390/mi10010068. PMID: 30669427; PMCID: PMC6356479.
Copy Download .nbib Format: NLM
Multi-Response Optimization of Electrical Discharge Machining Using the Desirability Function.

Micromachines

Świercz R, Oniszczuk-Świercz D, Chmielewski T.
PMID: 30669518
Micromachines (Basel). 2019 Jan 20;10(1). doi: 10.3390/mi10010072.

Electrical discharge machining (EDM) is a modern technology that is widely used in the production of difficult to cut conductive materials. The basic problem of EDM is the stochastic nature of electrical discharges. The optimal selection of machining parameters...

Cite
Świercz R, Oniszczuk-Świercz D, Chmielewski T. Multi-Response Optimization of Electrical Discharge Machining Using the Desirability Function. Micromachines (Basel). 2019;10(1)doi: 10.3390/mi10010072.
Świercz, R., Oniszczuk-Świercz, D., & Chmielewski, T. (2019). Multi-Response Optimization of Electrical Discharge Machining Using the Desirability Function. Micromachines, 10(1), . https://doi.org/10.3390/mi10010072
Świercz, Rafał, et al. "Multi-Response Optimization of Electrical Discharge Machining Using the Desirability Function." Micromachines vol. 10,1 (2019). doi: https://doi.org/10.3390/mi10010072
Świercz R, Oniszczuk-Świercz D, Chmielewski T. Multi-Response Optimization of Electrical Discharge Machining Using the Desirability Function. Micromachines (Basel). 2019 Jan 20;10(1). doi: 10.3390/mi10010072. PMID: 30669518; PMCID: PMC6356736.
Copy Download .nbib Format: NLM
Microswimmer Propulsion by Two Steadily Rotating Helical Flagella.

Micromachines

Shum H.
PMID: 30669288
Micromachines (Basel). 2019 Jan 18;10(1). doi: 10.3390/mi10010065.

Many theoretical studies of bacterial locomotion adopt a simple model for the organism consisting of a spheroidal cell body and a single corkscrew-shaped flagellum that rotates to propel the body forward. Motivated by experimental observations of a group of...

Cite
Shum H. Microswimmer Propulsion by Two Steadily Rotating Helical Flagella. Micromachines (Basel). 2019;10(1)doi: 10.3390/mi10010065.
Shum, H. (2019). Microswimmer Propulsion by Two Steadily Rotating Helical Flagella. Micromachines, 10(1), . https://doi.org/10.3390/mi10010065
Shum, Henry. "Microswimmer Propulsion by Two Steadily Rotating Helical Flagella." Micromachines vol. 10,1 (2019). doi: https://doi.org/10.3390/mi10010065
Shum H. Microswimmer Propulsion by Two Steadily Rotating Helical Flagella. Micromachines (Basel). 2019 Jan 18;10(1). doi: 10.3390/mi10010065. PMID: 30669288; PMCID: PMC6356978.
Copy Download .nbib Format: NLM
Microfluidic In-Flow Decantation Technique Using Stepped Pillar Arrays and Hydraulic Resistance Tuners.

Micromachines

Eluru G, Nagendra P, Gorthi SS.
PMID: 31311077
Micromachines (Basel). 2019 Jul 15;10(7). doi: 10.3390/mi10070471.

Separating the particles from the liquid component of sample solutions is important for several microfluidic-based sample preparations and/or sample handling techniques, such as plasma separation from whole blood, sheath-free flow focusing, particle enrichment etc. This paper presents a microfluidic...

Cite
Eluru G, Nagendra P, Gorthi SS. Microfluidic In-Flow Decantation Technique Using Stepped Pillar Arrays and Hydraulic Resistance Tuners. Micromachines (Basel). 2019;10(7)doi: 10.3390/mi10070471.
Eluru, G., Nagendra, P., & Gorthi, S. S. (2019). Microfluidic In-Flow Decantation Technique Using Stepped Pillar Arrays and Hydraulic Resistance Tuners. Micromachines, 10(7), . https://doi.org/10.3390/mi10070471
Eluru, Gangadhar, et al. "Microfluidic In-Flow Decantation Technique Using Stepped Pillar Arrays and Hydraulic Resistance Tuners." Micromachines vol. 10,7 (2019). doi: https://doi.org/10.3390/mi10070471
Eluru G, Nagendra P, Gorthi SS. Microfluidic In-Flow Decantation Technique Using Stepped Pillar Arrays and Hydraulic Resistance Tuners. Micromachines (Basel). 2019 Jul 15;10(7). doi: 10.3390/mi10070471. PMID: 31311077; PMCID: PMC6680991.
Copy Download .nbib Format: NLM
KLu(WO.

Micromachines

Medina M, Rüter CE, Pujol MC, Kip D, Masons J, Ródenas A, Aguiló M, Díaz F.
PMID: 31284508
Micromachines (Basel). 2019 Jul 05;10(7). doi: 10.3390/mi10070454.

This paper provides a generic way to fabricate a high-index contrast tapered waveguide platform based on dielectric crystal bonded on glass for sensing applications. As a specific example, KLu(WO

Cite
Medina M, Rüter CE, Pujol MC, et al. KLu(WO. Micromachines (Basel). 2019;10(7)doi: 10.3390/mi10070454.
Medina, M., Rüter, C. E., Pujol, M. C., Kip, D., Masons, J., Ródenas, A., Aguiló, M., & Díaz, F. (2019). KLu(WO. Micromachines, 10(7), . https://doi.org/10.3390/mi10070454
Medina, Marc, et al. "KLu(WO." Micromachines vol. 10,7 (2019). doi: https://doi.org/10.3390/mi10070454
Medina M, Rüter CE, Pujol MC, Kip D, Masons J, Ródenas A, Aguiló M, Díaz F. KLu(WO. Micromachines (Basel). 2019 Jul 05;10(7). doi: 10.3390/mi10070454. PMID: 31284508; PMCID: PMC6680797.
Copy Download .nbib Format: NLM
Direct Numerical Simulation of Seawater Desalination Based on Ion Concentration Polarization.

Micromachines

Li J, Chen D, Ye J, Zhang L, Zhou T, Zhou Y.
PMID: 31450684
Micromachines (Basel). 2019 Aug 25;10(9). doi: 10.3390/mi10090562.

The problem of water shortage needs to be solved urgently. The membrane-embedded microchannel structure based on the ion concentration polarization (ICP) desalination effect is a potential portable desalination device with low energy consumption and high efficiency. The electroosmotic flow...

Cite
Li J, Chen D, Ye J, et al. Direct Numerical Simulation of Seawater Desalination Based on Ion Concentration Polarization. Micromachines (Basel). 2019;10(9)doi: 10.3390/mi10090562.
Li, J., Chen, D., Ye, J., Zhang, L., Zhou, T., & Zhou, Y. (2019). Direct Numerical Simulation of Seawater Desalination Based on Ion Concentration Polarization. Micromachines, 10(9), . https://doi.org/10.3390/mi10090562
Li, Jie, et al. "Direct Numerical Simulation of Seawater Desalination Based on Ion Concentration Polarization." Micromachines vol. 10,9 (2019). doi: https://doi.org/10.3390/mi10090562
Li J, Chen D, Ye J, Zhang L, Zhou T, Zhou Y. Direct Numerical Simulation of Seawater Desalination Based on Ion Concentration Polarization. Micromachines (Basel). 2019 Aug 25;10(9). doi: 10.3390/mi10090562. PMID: 31450684; PMCID: PMC6780573.
Copy Download .nbib Format: NLM
Construction of a CQDs/Ag.

Micromachines

Gao H, Zheng C, Yang H, Niu X, Wang S.
PMID: 31450790
Micromachines (Basel). 2019 Aug 23;10(9). doi: 10.3390/mi10090557.

A carbon quantum dot (CQDs)/Ag

Cite
Gao H, Zheng C, Yang H, et al. Construction of a CQDs/Ag. Micromachines (Basel). 2019;10(9)doi: 10.3390/mi10090557.
Gao, H., Zheng, C., Yang, H., Niu, X., & Wang, S. (2019). Construction of a CQDs/Ag. Micromachines, 10(9), . https://doi.org/10.3390/mi10090557
Gao, Huajing, et al. "Construction of a CQDs/Ag." Micromachines vol. 10,9 (2019). doi: https://doi.org/10.3390/mi10090557
Gao H, Zheng C, Yang H, Niu X, Wang S. Construction of a CQDs/Ag. Micromachines (Basel). 2019 Aug 23;10(9). doi: 10.3390/mi10090557. PMID: 31450790; PMCID: PMC6780486.
Copy Download .nbib Format: NLM
A Floating Gate Memory with U-Shape Recessed Channel for Neuromorphic Computing and MCU Applications.

Micromachines

Gan LR, Wang YR, Chen L, Zhu H, Sun QQ.
PMID: 31450802
Micromachines (Basel). 2019 Aug 23;10(9). doi: 10.3390/mi10090558.

We have simulated a U-shape recessed channel floating gate memory by Sentaurus TCAD tools. Since the floating gate (FG) is vertically placed between source (S) and drain (D), and control gate (CG) and HfO

Cite
Gan LR, Wang YR, Chen L, et al. A Floating Gate Memory with U-Shape Recessed Channel for Neuromorphic Computing and MCU Applications. Micromachines (Basel). 2019;10(9)doi: 10.3390/mi10090558.
Gan, L. R., Wang, Y. R., Chen, L., Zhu, H., & Sun, Q. Q. (2019). A Floating Gate Memory with U-Shape Recessed Channel for Neuromorphic Computing and MCU Applications. Micromachines, 10(9), . https://doi.org/10.3390/mi10090558
Gan, Lu-Rong, et al. "A Floating Gate Memory with U-Shape Recessed Channel for Neuromorphic Computing and MCU Applications." Micromachines vol. 10,9 (2019). doi: https://doi.org/10.3390/mi10090558
Gan LR, Wang YR, Chen L, Zhu H, Sun QQ. A Floating Gate Memory with U-Shape Recessed Channel for Neuromorphic Computing and MCU Applications. Micromachines (Basel). 2019 Aug 23;10(9). doi: 10.3390/mi10090558. PMID: 31450802; PMCID: PMC6780788.
Copy Download .nbib Format: NLM
3D Printing Breast Tissue Models: A Review of Past Work and Directions for Future Work.

Micromachines

Cleversey C, Robinson M, Willerth SM.
PMID: 31357657
Micromachines (Basel). 2019 Jul 27;10(8). doi: 10.3390/mi10080501.

Breast cancer often results in the removal of the breast, creating a need for replacement tissue. Tissue engineering offers the promise of generating such replacements by combining cells with biomaterial scaffolds and serves as an attractive potential alternative to...

Cite
Cleversey C, Robinson M, Willerth SM. 3D Printing Breast Tissue Models: A Review of Past Work and Directions for Future Work. Micromachines (Basel). 2019;10(8)doi: 10.3390/mi10080501.
Cleversey, C., Robinson, M., & Willerth, S. M. (2019). 3D Printing Breast Tissue Models: A Review of Past Work and Directions for Future Work. Micromachines, 10(8), . https://doi.org/10.3390/mi10080501
Cleversey, Chantell, et al. "3D Printing Breast Tissue Models: A Review of Past Work and Directions for Future Work." Micromachines vol. 10,8 (2019). doi: https://doi.org/10.3390/mi10080501
Cleversey C, Robinson M, Willerth SM. 3D Printing Breast Tissue Models: A Review of Past Work and Directions for Future Work. Micromachines (Basel). 2019 Jul 27;10(8). doi: 10.3390/mi10080501. PMID: 31357657; PMCID: PMC6723606.
Copy Download .nbib Format: NLM
Fabrication of Different Microchannels by Adjusting the Extrusion Parameters for Sacrificial Molds.

Micromachines

Tang W, Liu H, Zhu L, Shi J, Li Z, Xiang N, Yang J.
PMID: 31426534
Micromachines (Basel). 2019 Aug 17;10(8). doi: 10.3390/mi10080544.

Using the 3D printed mold-removal method to fabricate microchannel has become a promising alternative to the conventional soft lithography technique, due to the convenience in printing channel mold and the compatibility with PDMS material. Although having great potential, the...

Cite
Tang W, Liu H, Zhu L, et al. Fabrication of Different Microchannels by Adjusting the Extrusion Parameters for Sacrificial Molds. Micromachines (Basel). 2019;10(8)doi: 10.3390/mi10080544.
Tang, W., Liu, H., Zhu, L., Shi, J., Li, Z., Xiang, N., & Yang, J. (2019). Fabrication of Different Microchannels by Adjusting the Extrusion Parameters for Sacrificial Molds. Micromachines, 10(8), . https://doi.org/10.3390/mi10080544
Tang, Wenlai, et al. "Fabrication of Different Microchannels by Adjusting the Extrusion Parameters for Sacrificial Molds." Micromachines vol. 10,8 (2019). doi: https://doi.org/10.3390/mi10080544
Tang W, Liu H, Zhu L, Shi J, Li Z, Xiang N, Yang J. Fabrication of Different Microchannels by Adjusting the Extrusion Parameters for Sacrificial Molds. Micromachines (Basel). 2019 Aug 17;10(8). doi: 10.3390/mi10080544. PMID: 31426534; PMCID: PMC6723064.
Copy Download .nbib Format: NLM
Showing 1 to 12 of 4966 entries