NEUTRAL HARD MASK AND ITS APPLICATION TO GRAPHOEPITAXY-BASED DIRECTED SELF-ASSEMBLY (DSA) PATTERNING
    2.
    发明申请
    NEUTRAL HARD MASK AND ITS APPLICATION TO GRAPHOEPITAXY-BASED DIRECTED SELF-ASSEMBLY (DSA) PATTERNING 有权
    中性硬帘及其应用于基于花岗质的指导自组装(DSA)图案

    公开(公告)号:US20170025274A1

    公开(公告)日:2017-01-26

    申请号:US14806921

    申请日:2015-07-23

    IPC分类号: H01L21/033 H01L21/027

    摘要: A material stack is formed on the surface of a semiconductor substrate. The top layer of the material stack comprises at least an organic planarization layer. A neutral hard mask layer is formed on the top of the organic planarization layer. The neutral hard mask layer is neutral to the block copolymers used for direct self-assembly. A plurality of template etch stacks are then formed on top of the neutral hard mask layer. After formation of the template etch stacks, neutrality recovery is performed on the neutral hard mask layer and the top portions of the template etch stacks, the vertical sidewalls of the template etch stacks being substantially unaffected by the neutrality recovery. A template for DSA is thus obtained.

    摘要翻译: 材料堆叠形成在半导体衬底的表面上。 材料堆叠的顶层至少包括有机平坦化层。 在有机平坦化层的顶部形成中性硬掩模层。 中性硬掩模层对于用于直接自组装的嵌段共聚物是中性的。 然后在中性硬掩模层的顶部上形成多个模板蚀刻堆叠。 在形成模板蚀刻堆叠之后,在中性硬掩模层和模板蚀刻堆叠的顶部进行中性恢复,模板蚀刻堆叠的垂直侧壁基本上不受中性恢复的影响。 因此获得DSA的模板。

    METHOD AND SYSTEM FOR TEMPLATE PATTERN OPTIMIZATION FOR DSA PATTERNING USING GRAPHOEPITAXY
    3.
    发明申请
    METHOD AND SYSTEM FOR TEMPLATE PATTERN OPTIMIZATION FOR DSA PATTERNING USING GRAPHOEPITAXY 有权
    使用纹理特征的DSA图案模板优化的方法和系统

    公开(公告)号:US20160350465A1

    公开(公告)日:2016-12-01

    申请号:US14723570

    申请日:2015-05-28

    IPC分类号: G06F17/50 H01L27/088

    摘要: A method for design template pattern optimization, comprises receiving a design for a fin field effect transistor (FinFET) device, wherein the design includes a configuration of fins, creating a design template pattern for the design for use in connection with directed self-assembly (DSA) patterning using graphoepitaxy, and optimizing the design template pattern to minimize pattern density gradients, wherein the design template pattern includes a plurality of guiding lines for guiding a block-copolymer deposited during the DSA patterning and the optimizing comprises altering the guiding lines.

    摘要翻译: 一种用于设计模板图案优化的方法,包括接收鳍状场效应晶体管(FinFET)器件的设计,其中所述设计包括翅片的构造,为所述设计创建用于与定向自组装结合使用的设计模板图案( DSA),并且优化设计模板图案以最小化图案密度梯度,其中设计模板图案包括用于引导在DSA图案化期间沉积的嵌段共聚物的多条引导线,并且优化包括改变引导线。

    Graphene Nanomesh Based Charge Sensor
    5.
    发明申请
    Graphene Nanomesh Based Charge Sensor 有权
    石墨烯纳米粉末电荷传感器

    公开(公告)号:US20150233900A1

    公开(公告)日:2015-08-20

    申请号:US14699329

    申请日:2015-04-29

    IPC分类号: G01N33/531 H01L21/30

    摘要: A graphene nanomesh based charge sensor and method for producing a graphene nanomesh based charge sensor. The method includes generating multiple holes in graphene to create a graphene nanomesh with a patterned array of multiple holes; passivating an edge of each of the multiple holes of the graphene nanomesh to allow for functionalization of the graphene nanomesh; and functionalizing the passivated edge of each of the multiple holes of the graphene nanomesh with a chemical compound that facilitates chemical binding of a receptor of a target molecule to the edge of one or more of the multiple holes, wherein the receptor is a molecule that chemically binds to the target molecule, irrespective of the size of the target molecule.

    摘要翻译: 一种基于石墨烯纳米薄膜的电荷传感器和用于生产基于石墨烯纳米薄膜的电荷传感器的方法。 该方法包括在石墨烯中产生多个孔以产生具有多个孔的图案化阵列的石墨烯纳米粒子; 钝化石墨烯纳米颗粒的多个孔中的每一个的边缘以允许石墨烯纳米颗粒的官能化; 并且利用促进目标分子的受体与多个孔中的一个或多个的边缘的化学结合的化学化合物使石墨烯纳米粒子的每个多孔的钝化边缘功能化,其中受体是化学上分解的分子 与目标分子结合,不考虑靶分子的大小。

    Resist performance for the negative tone develop organic development process
    6.
    发明授权
    Resist performance for the negative tone develop organic development process 有权
    抵消色调的表现,发展有机发展过程

    公开(公告)号:US09057960B2

    公开(公告)日:2015-06-16

    申请号:US13831570

    申请日:2013-03-14

    IPC分类号: G03F7/26 G03F7/32 G03F7/20

    摘要: A process and composition for negative tone development comprises providing a photoresist film that generates acidic sites. Irradiating the photoresist film patternwise provides an irradiated film having exposed and unexposed regions where the exposed regions comprise imaged sites. Baking the irradiated film at elevated temperatures produces a baked-irradiated film comprising the imaged sites which after irradiating, baking, or both irradiating and baking comprise acidic imaged sites. Treating the baked-irradiated film with a liquid, gaseous or vaporous weakly basic compound converts the acidic imaged sites to a base treated film having chemically modified acidic imaged sites. Applying a solvent developer substantially dissolves regions of the film that have not been exposed to the radiant energy, where the solvent developer comprises a substantial non-solvent for the chemically modified acidic imaged sites. One-step simultaneous base treatment and solvent development employs a composition comprising a mix of the basic compound and solvent developer.

    摘要翻译: 用于负色调发展的方法和组合物包括提供产生酸性位点的光致抗蚀剂膜。 以图形方式照射光致抗蚀剂膜提供具有暴露区域和未曝光区域的照射膜,其中曝光区域包括成像位置。 在升高的温度下烘烤照射的膜产生包含成像部位的焙烤辐射膜,其在照射,烘烤或照射和烘烤之后均包含酸性成像部位。 用液体,气态或气态的弱碱性化合物处理烘烤过的薄膜将酸性成像部位转化为具有化学改性的酸性成像部位的碱处理膜。 施加溶剂显影剂基本上溶解未暴露于辐射能的膜的区域,其中溶剂显影剂包含用于化学改性的酸性成像位点的基本非溶剂。 一步同步碱处理和溶剂开发采用包含碱性化合物和溶剂显影剂混合物的组合物。

    Drift regularization to counteract variation in drift coefficients for analog accelerators

    公开(公告)号:US11514326B2

    公开(公告)日:2022-11-29

    申请号:US16905241

    申请日:2020-06-18

    IPC分类号: G06N3/08 G06N3/063 G06V10/75

    摘要: Drift regularization is provided to counteract variation in drift coefficients in analog neural networks. In various embodiments, a method of training an artificial neural network is illustrated. A plurality of weights is randomly initialized. Each of the plurality of weights corresponds to a synapse of an artificial neural network. At least one array of inputs is inputted to the artificial neural network. At least one array of outputs is determined by the artificial neural network based on the at least one array of inputs and the plurality of weights. The at least one array of outputs is compared to ground truth data to determine a first loss. A second loss is determined by adding a drift regularization to the first loss. The drift regularization is positively correlated to variance of the at least one array of outputs. The plurality of weights is updated based on the second loss by backpropagation.