- 专利标题： Method of producing a recurrent neural network computer
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申请号： US16649906申请日： 2018-09-25
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公开(公告)号： US11489012B2公开(公告)日： 2022-11-01
- 发明人: Elisa Vianello , Catherine Carabasse , Selina La Barbera , Raluca Tiron
- 申请人： COMMISSARIAT A L'ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
- 申请人地址： FR Paris
- 专利权人： COMMISSARIAT A L'ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
- 当前专利权人： COMMISSARIAT A L'ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
- 当前专利权人地址： FR Paris
- 代理机构： Oblon, McClelland, Maier & Neustadt, L.L.P.
- 优先权： FR1758900 20170926,FR1851910 20180306
- 国际申请： PCT/FR2018/052348 WO 20180925
- 国际公布： WO2019/063926 WO 20190404
- 主分类号： G06N3/04
- IPC分类号： G06N3/04 ; G06N3/063 ; H01L21/027 ; H01L27/24 ; H01L45/00 ; H01L21/3213 ; H01L21/32
摘要：
A method of producing a recurrent neural network computer includes consecutive steps of providing a substrate with a first electrode; structuring the first electrode by etching using a first mask made of block copolymers, such that said electrode has free regions which are randomly spatially distributed; forming a resistive-RAM-type memory layer on the first structured electrode; forming a second electrode on the memory layer; and structuring the second electrode by etching, using a second mask made of block copolymers such that said electrode has free regions which are randomly spatially distributed.
公开/授权文献
- US20200321397A1 METHOD OF PRODUCING A RECURRENT NEURAL NETWORK COMPUTER 公开/授权日：2020-10-08
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