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A tool to speed development of new solar cells

The brand-new system, called a differentiable solar cell simulator, is described in a paper released in the journal Computer Physics Communications, written by MIT junior Sean Mann, research scientist Giuseppe Romano of MITs Institute for Soldier Nanotechnologies, and four others at MIT and at Google Brain. Standard solar cell simulators, Romano discusses, take the details of a solar cell setup and produce as their output a predicted efficiency– that is, what portion of the energy of inbound sunshine actually gets transformed to an electrical current. At this point, the simulator is based on just a one-dimensional version of the solar cell, so the next action will be to expand its abilities to include two- and three-dimensional setups. Even this 1D variation “can cover the bulk of cells that are currently under production,” Romano says. Specific variations, such as so-called tandem cells using various products, can not yet be simulated directly by this tool, however “there are ways to approximate a tandem solar cell by imitating each of the specific cells,” Mann says.

The new system, called a differentiable solar cell simulator, is described in a paper published in the journal Computer Physics Communications, composed by MIT junior Sean Mann, research study scientist Giuseppe Romano of MITs Institute for Soldier Nanotechnologies, and four others at MIT and at Google Brain. Conventional solar cell simulators, Romano discusses, take the details of a solar cell setup and produce as their output an anticipated performance– that is, what percentage of the energy of inbound sunshine in fact gets converted to an electrical current. Certain variations, such as so-called tandem cells using various products, can not yet be simulated straight by this tool, but “there are ways to approximate a tandem solar cell by simulating each of the private cells,” Mann states.

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