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| − | + | [[File:Dalhai.png|center|682x682px|alt=|frameless|link=Accueil]] | |
| − | + | = <font color="#D4650A">''' Project Description '''</font> = | |
| + | <p style="text-align: justify;">__NOTOC__ | ||
| + | DALHAI is an [[ANR]] project that addresses the ALU design challenge with a four-stage strategy that relies, first, on the modal symmetry considerations that led to the successful numerical and experimental results obtained on the DH devices. Second, evolutionary optimization will be implemented to efficiently survey the parameter space. Yet the discovery of complex ALU configurations will be limited by the intuitive starting points. Third, to overcome this limitation, DALHAI will develop a powerful Hybrid Artificial Intelligence (HAI) and interface it with optical simulations and experimental data. Fourth, once trained, the HAI will propose device geometries and excitation protocols to solve the inverse design of complex reconfigurable ALUs. Nanofabrication, simulations, optical benchmarking, operation and reconfigurationof HAI-proposed ALUs will be performed. | ||
| − | == | + | = <font color="#D4650A">'''Project Partners '''</font> = |
| − | + | <p style="text-align: justify;">__NOTOC__ | |
| − | + | {| border="0" cellpadding="5" style="width: 1077px;" width="100%" | |
| − | + | |- | |
| − | + | ! [[Image:LogoCEMES.png|150px|sans_cadre|link=https://www.cemes.fr]] | |
| − | + | ! [[Image:LogoICB.png|150px|sans_cadre|link=https://icb.u-bourgogne.fr]] | |
| + | ! [[Image:CIAD.png|230px|sans_cadre|link=http://www.ciad-lab.fr]] | ||
| + | |} | ||
| + | |||
| + | = <font color="#D4650A">''' Fundamental Concepts '''</font> = | ||
| + | {| border="0" cellpadding="5" style="width: 1077px;" width="100%" | ||
| + | |- | ||
| + | ! colspan="2" scope="col"; text-align: left; vertical-align: middle; border-radius: 1em; width: 271px;" | <font color="#595959" size="5"><font color="#D4650A"><font size="4" style="text-align:left; vertical-align:middle; border-radius: 1em"> [[File:HAI1 New.png|100px|Hybrid Artificial Intelligence|link=Hybrid Artificial Intelligence]] [[Hybrid Artificial Intelligence]]</font></font></font> | ||
| + | ! colspan="2" scope="col"; text-align: left; vertical-align: middle; border-radius: 1em; width: 271px;" | <font color="#595959" size="5"><font color="#D4650A"><font size="4" style="text-align:left; vertical-align:middle; border-radius: 1em"> [[File:PLALU New.png|150px|Plasmonic|link=Plasmonic]] [[Plasmonic]]</font></font></font> | ||
| + | |} | ||
| + | |||
| + | = <font color="#D4650A">''' Numerical Simulations '''</font> = | ||
| + | |||
| + | |||
| + | Under construction | ||
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| + | = <font color="#D4650A">''' Wiki Management '''</font> = | ||
| + | |||
| + | *<font size="4">[[List_of_Templates|Templates]] | ||
| + | *<font size="4">[[Privacy_Policy|Privacy Policy]] | ||
Version du 27 septembre 2021 à 08:41
Project Description
DALHAI is an ANR project that addresses the ALU design challenge with a four-stage strategy that relies, first, on the modal symmetry considerations that led to the successful numerical and experimental results obtained on the DH devices. Second, evolutionary optimization will be implemented to efficiently survey the parameter space. Yet the discovery of complex ALU configurations will be limited by the intuitive starting points. Third, to overcome this limitation, DALHAI will develop a powerful Hybrid Artificial Intelligence (HAI) and interface it with optical simulations and experimental data. Fourth, once trained, the HAI will propose device geometries and excitation protocols to solve the inverse design of complex reconfigurable ALUs. Nanofabrication, simulations, optical benchmarking, operation and reconfigurationof HAI-proposed ALUs will be performed.
Project Partners
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Fundamental Concepts
 Hybrid Artificial Intelligence
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 Plasmonic
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Numerical Simulations
Under construction