Method and device for searching new material
AssigneeSamsung Electronics Co., Ltd.
InventorsJiho YOO, Youngchun KWON, Kyungdoc KIM, Jaikwang SHIN, Hyosug LEE, Younsuk CHOI
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Abstract
A method for searching a new material includes: performing a learning on a material model, which is modeled based on a known material; determining a candidate material by inputting a targeted physical property to a result of the learning; and determining the new material from the candidate material.
Claims22
A method for searching a material having a targeted physical property using a high-throughput screening, the method comprising:
- performing a learning on a material model which is modeled based on a known material;
- determining a candidate material by inputting the targeted physical property to a result of the learning;
- and
- determining the material having the targeted physical property from the candidate material,
- wherein the performing the learning on the material model comprises:
- modeling the material model based upon first structure information, which is information on a structure of the known material, first physical property information, which is information on a physical property of the known material, information on a potential factor, and a learning parameter,
- wherein the learning parameter comprises at least one of a default value parameter on the structure of the known material, a default value parameter on the physical property of the known material, a default value parameter of the potential factor, a relationship parameter between the structure of the known material and the potential factor, and a relationship parameter between the physical property of the known material and the potential factor.
A device for searching a material as a device for searching an advance material having a targeted physical property using a high-throughput screening, the device comprising a processor, wherein the processor includes:
- a learning performer which performs a learning on a material model that is modeled based on a known material;
- and
- a material determiner which determines a candidate material by inputting a targeted physical property to a result of the learning, and determines a material having the targeted physical property from the candidate material,
- wherein the learning performer comprises:
- a material modeler which models the material model based on first structure information, which is information on a structure of the known material, first physical property information, which is information on a physical property of the known material, information on a potential factor, and a learning parameter,
- wherein the learning parameter comprises at least one of a default value parameter on the structure of the known material, a default value parameter on a physical property of the known material, a default value parameter of the potential factor, a relationship parameter between the structure of the known material and the potential factor, and a relationship parameter between the physical property of the known material and the potential factor.
Dependencies are inferred from the claim text.