BATTERY-BASED NEURAL NETWORK WEIGHTS
Methods for controlling the resistance of a controllable resistive element include determining an amount of electrical resistance change for the controllable resistive element. A concentration difference is determined for a charge carrier ion in a resistor layer of the controllable resistance elemen...
Saved in:
Main Authors | , , , |
---|---|
Format | Patent |
Language | English |
Published |
13.09.2018
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Methods for controlling the resistance of a controllable resistive element include determining an amount of electrical resistance change for the controllable resistive element. A concentration difference is determined for a charge carrier ion in a resistor layer of the controllable resistance element that corresponds to the electrical resistance change for the controllable resistive element. A duration and amplitude of a current pulse is determined that changes the charge carrier ion concentration by the determined difference. A positive or negative current pulse is applied to a controllable resistive element for the determined duration. |
---|---|
AbstractList | Methods for controlling the resistance of a controllable resistive element include determining an amount of electrical resistance change for the controllable resistive element. A concentration difference is determined for a charge carrier ion in a resistor layer of the controllable resistance element that corresponds to the electrical resistance change for the controllable resistive element. A duration and amplitude of a current pulse is determined that changes the charge carrier ion concentration by the determined difference. A positive or negative current pulse is applied to a controllable resistive element for the determined duration. |
Author | Li, Ning de Souza, Joel P Sadana, Devendra K Lee, Yun Seog |
Author_xml | – fullname: Lee, Yun Seog – fullname: Sadana, Devendra K – fullname: Li, Ning – fullname: de Souza, Joel P |
BookMark | eNrjYmDJy89L5WRQcXIMCXENitR1cgx2dVHwcw0NcvQBUiHh_kHeCuGunu4eIcE8DKxpiTnFqbxQmptB2c01xNlDN7UgPz61uCAxOTUvtSQ-NNjIwNDCyMzAzMLE0dCYOFUAAPcl2g |
ContentType | Patent |
DBID | EVB |
DatabaseName | esp@cenet |
DatabaseTitleList | |
Database_xml | – sequence: 1 dbid: EVB name: esp@cenet url: http://worldwide.espacenet.com/singleLineSearch?locale=en_EP sourceTypes: Open Access Repository |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Medicine Chemistry Sciences Physics |
ExternalDocumentID | US2018260684A1 |
GroupedDBID | EVB |
ID | FETCH-epo_espacenet_US2018260684A13 |
IEDL.DBID | EVB |
IngestDate | Fri Jul 19 14:58:10 EDT 2024 |
IsOpenAccess | true |
IsPeerReviewed | false |
IsScholarly | false |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-epo_espacenet_US2018260684A13 |
Notes | Application Number: US201715803957 |
OpenAccessLink | https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20180913&DB=EPODOC&CC=US&NR=2018260684A1 |
ParticipantIDs | epo_espacenet_US2018260684A1 |
PublicationCentury | 2000 |
PublicationDate | 20180913 |
PublicationDateYYYYMMDD | 2018-09-13 |
PublicationDate_xml | – month: 09 year: 2018 text: 20180913 day: 13 |
PublicationDecade | 2010 |
PublicationYear | 2018 |
RelatedCompanies | INTERNATIONAL BUSINESS MACHINES CORPORATION |
RelatedCompanies_xml | – name: INTERNATIONAL BUSINESS MACHINES CORPORATION |
Score | 3.170887 |
Snippet | Methods for controlling the resistance of a controllable resistive element include determining an amount of electrical resistance change for the controllable... |
SourceID | epo |
SourceType | Open Access Repository |
SubjectTerms | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS |
Title | BATTERY-BASED NEURAL NETWORK WEIGHTS |
URI | https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20180913&DB=EPODOC&locale=&CC=US&NR=2018260684A1 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1LS8NAEB5Kfd40KlWrFCy5BRuSDemhSJ7WR5OSh62nkk02IEhabMS_7-ySak89LTsDsw-Ynfl2Z2YB-maJkIupJmpaNlT0gg4Vk2qqomWEqgbNSVHwBOdJYIxT_XlO5i343OTCiDqhP6I4ImpUjvpei_N69X-J5YrYyvU9_UDS8sFPRq7coGNejErVZNceedPQDR3ZcUZpLAeR4KHrbpi6hVhpjzvSvNK-92bzvJTVtlHxT2B_ivKq-hRarJLgyNn8vSbB4aR58pbgQMRo5mskNnq4PoO-bSXoh74rthV7bi_w0sh6xSaZhdFLb-Y9PY6T-BzufC9xxgoOvPhb5yKNt2epXUC7WlasAz1DHzBCSp2VJkO8RzOq6Qba2SFjpKQDcgndXZKudrOv4Zh3eRCEqnWhXX99sxu0tDW9FRv0C03afSQ |
link.rule.ids | 230,309,786,891,25594,76903 |
linkProvider | European Patent Office |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3da8IwED_Efbi3zW3sw23CpG9lljZd-1BGv1ydthXbTn2SRlMYjCprx_79XYNuPvkUuIPLJXC5-yV3F4COliHkYpKGlpbqorKkuqhRWRLllFBJpQuyXFYFzn6geonyNiXTGnxua2F4n9Af3hwRLWqB9l7y83r9f4nl8NzK4ol-IGn10osNR9ig46oZlSQLjmW4o9AJbcG2jSQSgjHnYeiuaoqJWOngGTXkYOndqupS1rtOpXcKhyOUl5dnUGN5Exr29u-1Jhz7myfvJhzxHM1FgcSNHRbn0LHMGOPQmWiZkeu0AzcZm0Mc4kk4HrQnbv_Vi6MLeOy5se2JOPH8b53zJNrVUr6Eer7K2RW0VaXLCMkUlmkM8R5Nqayo6Gd1xkhGu-QaWvsk3exnP0DDi_3hfNgPBrdwUrGqhAhJbkG9_Ppmd-h1S3rPN-sXTGCADg |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Apatent&rft.title=BATTERY-BASED+NEURAL+NETWORK+WEIGHTS&rft.inventor=Lee%2C+Yun+Seog&rft.inventor=Sadana%2C+Devendra+K&rft.inventor=Li%2C+Ning&rft.inventor=de+Souza%2C+Joel+P&rft.date=2018-09-13&rft.externalDBID=A1&rft.externalDocID=US2018260684A1 |