<I>A Special Issue on</I> Nanomaterials and Nanoscale Phenomena for Clean Energy Applications

This paper reviews the progress of the vertical top-down nanowire technology platform developed to explore novel device architectures and integration schemes for green electronics and clean energy applications. Under electronics domain, besides having ultimate scaling potential, the vertical wire offers (1) CMOS circuits with much smaller foot print as compared to planar transistor at the same technology node, (2) a natural platform for tunneling FETs, and (3) a route to fabricate stacked nonvolatile memory cells. Under clean energy harvesting area, vertical wires could provide (1) cost reduction in photovoltaic energy conversion through enhanced light trapping and (2) a fully CMOS compatible thermoelectric engine converting waste-heat into electricity. In addition to progress review, we discuss the challenges and future prospects with vertical nanowires platform.

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Designing Metal-Organic-Framework for Clean Energy Applications

Metal-Organic Framework Composites - Materials Research Foundations ◽

10.21741/9781644900437-5 ◽

2019 ◽

pp. 85-106

Keyword(s):

Metal Organic Framework ◽

Clean Energy ◽

Energy Applications ◽

Metal Organic ◽

Organic Framework

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Preface to the Special Issue on Flexible Materials and Structures for Bioengineering, Sensing, and Energy Applications

Journal of Semiconductors ◽

10.1088/1674-4926/41/4/040101 ◽

2020 ◽

Vol 41 (4) ◽

pp. 040101

Author(s):

Yongfeng Mei ◽

Wei Gao ◽

Hui Fang ◽

Yuan Lin ◽

Guozhen Shen

Keyword(s):

Special Issue ◽

Energy Applications ◽

Flexible Materials

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Storage of Hydrogen, Methane, and Carbon Dioxide in Highly Porous Covalent Organic Frameworks for Clean Energy Applications

Journal of the American Chemical Society ◽

10.1021/ja9015765 ◽

2009 ◽

Vol 131 (25) ◽

pp. 8875-8883 ◽

Cited By ~ 1545

Author(s):

Hiroyasu Furukawa ◽

Omar M. Yaghi

Keyword(s):

Carbon Dioxide ◽

Clean Energy ◽

Covalent Organic Frameworks ◽

Energy Applications ◽

Highly Porous

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Enhancement of Hydrogen Storage in Metals by Using a New Technique in Severe Plastic Deformations

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.799.173 ◽

2019 ◽

Vol 799 ◽

pp. 173-178 ◽

Cited By ~ 2

Author(s):

Babak Shahreza Omranpour ◽

Lembit Kommel ◽

E. Garcia Sanchez ◽

Yulia Ivanisenko ◽

Jacques Huot

Keyword(s):

Hydrogen Storage ◽

High Pressure Torsion ◽

Metal Hydrides ◽

Clean Energy ◽

Green Energy ◽

Energy Investment ◽

Energy Applications ◽

Viable Solution ◽

Diffraction Patterns ◽

A New Technique

Hydrogen is expected to be a viable solution for green-energy investment in future. However, hydrogen storage is a big challenge for stationary and mobile applications. Severe Plastic Deformation (SPD) techniques are well-known to be effective in enhancement of hydrogenation in metals hydrides. This paper shows the effect of a novel SPD technique named “High Pressure Torsion Extrusion-HPTE” on the hydrogenation of metal hydrides and compare it with the conventional method of ECAP. Results of mechanical testing and X-ray diffraction patterns showed significant enhancement in hardness and microstructural refinement in materials after HPTE. Accordingly, hydrogenation kinetics improved dramatically. This achievement could be an initiative to implement HPTE in synthesis of metal hydrides for clean energy applications.

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Self-driving laboratory for accelerated discovery of thin-film materials

Science Advances ◽

10.1126/sciadv.aaz8867 ◽

2020 ◽

Vol 6 (20) ◽

pp. eaaz8867 ◽

Cited By ~ 24

Author(s):

B. P. MacLeod ◽

F. G. L. Parlane ◽

T. D. Morrissey ◽

F. Häse ◽

L. M. Roch ◽

...

Keyword(s):

Thin Film ◽

Materials Science ◽

Perovskite Solar Cells ◽

Hole Mobility ◽

Clean Energy ◽

Research Process ◽

Hole Transport ◽

Inorganic Materials ◽

Consumer Electronics ◽

Energy Applications

Discovering and optimizing commercially viable materials for clean energy applications typically takes more than a decade. Self-driving laboratories that iteratively design, execute, and learn from materials science experiments in a fully autonomous loop present an opportunity to accelerate this research process. We report here a modular robotic platform driven by a model-based optimization algorithm capable of autonomously optimizing the optical and electronic properties of thin-film materials by modifying the film composition and processing conditions. We demonstrate the power of this platform by using it to maximize the hole mobility of organic hole transport materials commonly used in perovskite solar cells and consumer electronics. This demonstration highlights the possibilities of using autonomous laboratories to discover organic and inorganic materials relevant to materials sciences and clean energy technologies.

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