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Primeur weekly 2019-05-27

Exascale supercomputing

Researchers begin exascale application development on the Summit supercomputer ...

NERSC, Cray and NVIDIA share GPU expertise at first Hackathon for future Perlmutter users ...

Quantum computing

Quantum computing boost from vapor stabilizing technique ...

Focus on Europe

University of Bradford's first supercomputer to revolutionise archaeological research ...

Colombian and Botswana researchers awarded ISC Travel Grant funds ...

Gauss Centre for Supercomputing supports German university teams in ISC19 Student Cluster Competition ...

Gauss Centre for Supercomputing to participate at ISC'19 in Frankfurt ...

New Arm-BSC Centre of Excellence for continued innovation ...

Middleware

HPE announces its financial results for the second quarter of 2019 ...

Hardware

DDN completes the acquisition of Nexenta ...

CRN recognizes Yvonne Walker of DDN as a CRN Women of the Channel for the third consecutive year ...

Post K supercomputer will be named Supercomputer Fugaku ...

TACC Ranch technology upgrade improves valuable data storage ...

Achronix introduces ground-breaking FPGA family, delivering new levels of performance with adaptability for high-bandwidth data acceleration applications ...

Applications

AI and high-performance computing extend evolution to superconductors ...

Nature inspires a novel new form of computing, using light ...

The geometry of an electron determined for the first time ...

GRACE Mission data contributes to our understanding of climate change ...

NCSA welcomes 2019-2020 Faculty Fellows ...

Data Science helps engineers discover new materials for solar cells and LEDs ...

Summit charts a course to uncover the origins of genetic diseases ...

Scientists plan to develop new AI hardware capable of 'thinking' like a human brain ...

Simulating electronic stopping in solids and DNA ...

The Cloud

Mellanox introduces Ethernet Cloud Fabric technology based on the world's most advanced 100/200/400GbE open Ethernet switches ...

IBM AI and Cloud technology helps agriculture industry improve the world's food and crop supply ...

Data Science helps engineers discover new materials for solar cells and LEDs


Schematic illustration of the workflow for the high-throughput design of organic-inorganic hybrid halide semiconductors for solar cells and light emitting diodes.
22 May 2019 San Diego - UC San Diego engineers have developed a high-throughput computational method to design new materials for next generation solar cells and LEDs. Their approach generated 13 new material candidates for solar cells and 23 new candidates for LEDs. Calculations predicted that these materials, called hybrid halide semiconductors, would be stable and exhibit excellent opto-electronic properties.
One representative candidate material, (MA)2GeI4, with a Pearson symbol tI14.

The team published their findings on May 22, 2019 in the journal Energy & Environmental Science .

Hybrid halide semiconductors are materials that consist of an inorganic framework housing organic cations. They show unique material properties that are not found in organic or inorganic materials alone. A subclass of these materials, called hybrid halide perovskites, have attracted a lot of attention as promising materials for next generation solar cells and LED devices because of their exceptional opto-electronic properties and inexpensive fabrication costs. However, hybrid perovskites are not very stable and contain lead, making them unsuitable for commercial devices.

Seeking alternatives to perovskites, a team of researchers led by Kesong Yang, a nano-engineering professor at the UC San Diego Jacobs School of Engineering, used computational tools, data mining, and data screening techniques to discover new hybrid halide materials beyond perovskites that are stable and lead-free. "We are looking past perovskite structures to find a new space to design hybrid semiconductor materials for opto-electronics", Kesong Yang stated.

Kesong Yang's team began by going through the two largest quantum materials databases, AFLOW and The Materials Project, and analyzing all compounds that were similar in chemical composition to lead halide perovskites. Then they extracted 24 prototype structures to use as templates for generating hybrid organic-inorganic materials structures.

Next, they performed high-throughput quantum mechanics calculations on the prototype structures to build a comprehensive quantum materials repository containing 4,507 hypothetical hybrid halide compounds. Using efficient data mining and data screening algorithms, Kesong Yang's team rapidly identified 13 candidates for solar cell materials and 23 candidates for LEDs out of all the hypothetical compounds.

"A high-throughput study of organic-inorganic hybrid materials is not trivial", he noted, adding that it took several years to develop a complete software framework equipped with data generation, data mining, and data screening algorithms for hybrid halide materials. It also took his team a great deal of effort to make the software framework work seamlessly with the software they used for high-throughput calculations.

"Compared to other computational design approaches, we have explored a significantly large structural and chemical space to identify novel halide semiconductor materials", stated Yuheng Li, a nano-engineering Ph.D. candidate in Kesong Yang's group and the first author of the study. This work could also inspire a new wave of experimental efforts to validate computationally predicted materials, Yuheng Li said.

Moving forward, Kesong Yang and his team are using their high-throughput approach to discover new solar cell and LED materials from other types of crystal structures. They are also developing new data mining modules to discover other types of functional materials for energy conversion, optoelectronic and spintronic applications.

Kesong Yang attributes much of his project's success to the use of the Comet supercomputer at UC San Diego's San Diego Supercomputer Center (SDSC). "Our large-scale quantum mechanics calculations required a large number of computational resources", he explained. "Since 2016, we have been awarded with computing time - some 3.46 million core-hours on Comet - which made the project possible."

While Comet powered the simulations in this study, Kesong Yang said that SDSC staff also played a crucial role in his research. Ron Hawkins, SDSC's director of industry relations, and Jerry Greenberg, a computational research specialist with the Center, ensured that adequate support was provided to Kesong Yang and his team. The researchers especially relied on the SDSC staff for the study's compilation and installation of computational codes on Comet, which is funded by the National Science Foundation.

Kesong Yang, who was connected with SDSC via the Center's Triton Shared Computing Cluster (TSCC) campus cluster at UC San Diego, said that Comet not only saved them time. "The value of these awarded computing resources is about $115.600, which also saved our project a great deal of money."

The study, called "High-throughput computational design of organic-inorganic hybrid halide semiconductors beyond perovskites for optoelectronics", was supported by the Global Research Outreach (GRO) Programme of Samsung Advanced Institute of Technology (award number 20164974) and National Science Foundation award ACI-1550404. The ab-initio molecular dynamics calculations used computational resources supplied by the Department of Defense High Performance Computing Modernization Programme (HPCMP).

Source: San Diego Supercomputer Center - SDSC

Back to Table of contents

Primeur weekly 2019-05-27

Exascale supercomputing

Researchers begin exascale application development on the Summit supercomputer ...

NERSC, Cray and NVIDIA share GPU expertise at first Hackathon for future Perlmutter users ...

Quantum computing

Quantum computing boost from vapor stabilizing technique ...

Focus on Europe

University of Bradford's first supercomputer to revolutionise archaeological research ...

Colombian and Botswana researchers awarded ISC Travel Grant funds ...

Gauss Centre for Supercomputing supports German university teams in ISC19 Student Cluster Competition ...

Gauss Centre for Supercomputing to participate at ISC'19 in Frankfurt ...

New Arm-BSC Centre of Excellence for continued innovation ...

Middleware

HPE announces its financial results for the second quarter of 2019 ...

Hardware

DDN completes the acquisition of Nexenta ...

CRN recognizes Yvonne Walker of DDN as a CRN Women of the Channel for the third consecutive year ...

Post K supercomputer will be named Supercomputer Fugaku ...

TACC Ranch technology upgrade improves valuable data storage ...

Achronix introduces ground-breaking FPGA family, delivering new levels of performance with adaptability for high-bandwidth data acceleration applications ...

Applications

AI and high-performance computing extend evolution to superconductors ...

Nature inspires a novel new form of computing, using light ...

The geometry of an electron determined for the first time ...

GRACE Mission data contributes to our understanding of climate change ...

NCSA welcomes 2019-2020 Faculty Fellows ...

Data Science helps engineers discover new materials for solar cells and LEDs ...

Summit charts a course to uncover the origins of genetic diseases ...

Scientists plan to develop new AI hardware capable of 'thinking' like a human brain ...

Simulating electronic stopping in solids and DNA ...

The Cloud

Mellanox introduces Ethernet Cloud Fabric technology based on the world's most advanced 100/200/400GbE open Ethernet switches ...

IBM AI and Cloud technology helps agriculture industry improve the world's food and crop supply ...