WO2022088008A1 - 薄膜晶体管的设计方法 - Google Patents
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/30—Circuit design
- G06F30/39—Circuit design at the physical level
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01L—SEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
- H01L29/00—Semiconductor devices specially adapted for rectifying, amplifying, oscillating or switching and having potential barriers; Capacitors or resistors having potential barriers, e.g. a PN-junction depletion layer or carrier concentration layer; Details of semiconductor bodies or of electrodes thereof ; Multistep manufacturing processes therefor
- H01L29/66—Types of semiconductor device ; Multistep manufacturing processes therefor
- H01L29/68—Types of semiconductor device ; Multistep manufacturing processes therefor controllable by only the electric current supplied, or only the electric potential applied, to an electrode which does not carry the current to be rectified, amplified or switched
- H01L29/76—Unipolar devices, e.g. field effect transistors
- H01L29/772—Field effect transistors
- H01L29/78—Field effect transistors with field effect produced by an insulated gate
- H01L29/786—Thin film transistors, i.e. transistors with a channel being at least partly a thin film
Definitions
- the present disclosure relates to the field of semiconductor transistor devices, and in particular, to a design method of a thin film transistor.
- thin film transistors have been widely used in display, sensing and other fields in recent years.
- semiconductor materials for preparing thin film transistors there are many kinds of semiconductor materials for preparing thin film transistors, and the manufacturing process is relatively simple. Relatively cheap large-area spin coating, printing, etc. can be used, so the manufacturing cost is relatively low.
- thin film materials can be produced at lower temperatures, so materials with poor heat resistance (such as substrates such as plastic paper) can be selected to manufacture electronic devices with light weight, toughness and bendability.
- One of the main purposes of the present disclosure is to provide a design method of a thin film transistor.
- the present invention provides a method for designing a thin film transistor, comprising:
- Fig. 1 is the flow chart of the design method of thin film transistor device of the present invention
- FIG. 2 is a schematic flowchart of a method for designing a thin film transistor device according to an embodiment of the present invention.
- the present invention proposes a design method of thin film transistor devices based on high-throughput integration and first-principles calculation methods. This method is simple to operate and can be widely used in various materials and structures. Design of thin-film transistor devices.
- high-throughput integrated computing adopts the method of submitting large-scale computing tasks at one time, and theoretically predicts potential new structures and new formulations through element substitution, high-throughput screening, structure optimization, and related property calculations.
- the design of high-performance thin-film transistor devices not only integrates the selection of initial materials, composition design and screening, device structure design and optimization, performance prediction and feedback, etc. of thin-film transistor devices, and then uses automatic calculation modules to control, so as to achieve The automated design process of thin film transistor devices finally designs a thin film transistor device with superior comprehensive performance.
- the present invention discloses a design method of a thin film transistor device, including:
- the first active layer material is simulated as the active layer material in the thin film transistor device model to obtain device characteristics of the thin film transistor device;
- the characteristic parameter includes at least one of an energy band structure, a band gap, a Schottky barrier, a work function, and an intermediate phase.
- the characteristic parameter threshold includes at least one of a bandgap threshold, a Schottky barrier threshold, a work function threshold or an intermediate phase threshold;
- the band gap threshold is 0.5 to 3 eV
- the Schottky barrier threshold is 0.1 to 2 eV
- the work function threshold is 2.5 to 5.5 eV
- the mesophase threshold is 1 to 4.
- the simulating step specifically includes simulating a transfer curve and an output curve of the thin film transistor device, and determining device characteristics of the thin film transistor device according to the transfer curve and the output curve.
- the device characteristic includes at least one of threshold voltage, device mobility, current switching ratio, or subthreshold swing.
- the device characteristic threshold includes at least one of a threshold voltage threshold, a device mobility threshold, a current switching ratio threshold, or a subthreshold swing threshold;
- the threshold voltage threshold is less than 0.5V
- the device mobility threshold is 1 to 1000 cm 2 /V/s;
- the current switching ratio threshold is 10 3 to 10 8 ;
- the subthreshold swing threshold is 10 to 300 mV/dec.
- the step of screening the material according to the characteristic parameter threshold as the first active layer material further includes storing the first active layer material in a first database
- the data in the first database is automatically input and output data through an automated control system
- the first active layer database includes types of active layer materials and characteristic parameters of the materials.
- the step of screening the first active layer material according to the device characteristic threshold to obtain the second active layer material further includes storing the second active layer material in a second database;
- the second active layer database includes types of active layer materials, characteristic parameters of the materials, and device characteristics obtained by simulation when the active layer material is used as a thin film transistor device;
- the data in the first database is automatically input and output data through an automatic control system.
- the method used to calculate the characteristic parameter of the material includes a first-principles calculation method.
- the step of performing the experiment using the second active layer material as the active layer material of the thin film transistor device further includes selection of source, drain and electrode materials of the thin film transistor device.
- the present embodiment provides a method for designing a thin film transistor device, and the method includes the following steps:
- Step 1 Use first-principles calculations combined with the high-throughput integrated automated control process to search for materials that may become thin-film transistor devices, mainly referring to the active layer materials of thin-film transistors; use first-principles calculations to search for The active layer material mainly calculates the energy band structure, band gap, Schottky barrier, work function, and intermediate equality;
- the searched active layer materials include existing known active layer materials as well as active layer materials unknown in the prior art. Therefore, this method can predict the active layer materials unknown in the prior art. , expanding the choice of active layer materials.
- the high-energy integrated automation control system is mainly for data submission.
- the function is to use the method of submitting large-scale computing tasks at one time.
- the user starts to calculate the material, it assists the user to generate recommended calculation parameters, automatically submits jobs, automatically monitors job status, and automatically A series of automated processes such as downloading the job results, automatically extracting the input for the next calculation, and generating the final job report.
- the entire simulation calculation process can be realized automatically without manual intervention.
- it can reduce the labor cost, and on the other hand, it can avoid erroneous results caused by human extraction, so as to ensure the correctness of calculation results extraction.
- Step 2 Screening out the active layer material with specific material characteristics in the calculation result, as the first active layer material, analyzing, classifying and storing the first active layer material, and establishing a first database; the first database It includes the energy band structure data, band gap data, Schottky barrier, work function, possible phase structure, etc. of the active layer material.
- having specific material characteristics in this embodiment refers to the active layer material that meets the threshold requirements of the characteristic parameters, specifically, the active layer materials that meet the threshold requirements of the characteristic parameters, for example, the band gap Active layer materials with a Teky barrier of 0.1eV-2eV, a work function of 2.5eV-5.5eV, and an intermediate phase of 1-4 can satisfy one of the characteristic parameter thresholds or satisfy multiple characteristic parameters. Threshold, the more types of characteristic parameter thresholds that are satisfied, the better the performance of the active layer material.
- all data obtained by theoretical calculation are stored, classified and sorted, wherein, in the classification and storage step, different data types are classified into different databases: for example, database A saves the classified energy band structure Data, database B holds categorized band gap data, database C holds categorized Schottky barriers, and so on.
- Step 3 Based on the established first database, screen out the active layer material with better performance by establishing a thin film transistor device model simulation method.
- This step mainly combines the device model of the thin film transistor device, and studies the transfer characteristics and output characteristics of the thin film transistor device constructed by different thin film transistor active layer materials in detail. Analyze the threshold voltage (Threshold Voltage, V th ), device mobility, current switching ratio I on /I off , and subthreshold swing (SS) of thin film transistor devices through transfer curves and output curves, while also considering thin films The stability of the transistor device (no obvious change in the characteristics of the device for a long time) and uniformity, etc., finally screen out the active layer material with superior comprehensive performance, that is, the second active layer material.
- V th threshold voltage
- V th Device Mobility
- I on /I off current switching ratio
- SS subthreshold swing
- the thin film transistor device of the active layer material preferably selects the threshold voltage V th to be less than 0.5V. In other embodiments, the threshold voltage V th may be less than 0.4V, for example. , 0.3V, 0.2V, 0.1V, etc.
- the preferred device mobility of the thin film transistor device of the active layer material is 1-1000 cm 2 /V/s.
- the device mobility may be, for example, 1cm 2 /V/s, 10cm 2 /V/s, 100cm 2 /V/s, 200cm 2 /V/s, 500cm 2 /V/s, 800cm 2 /V/s, 1000cm 2 /V/s, etc.
- the range of the current switching ratio I on /I off of the thin film transistor device of the preferred active layer material in this embodiment is 10 3 -10 8 .
- the current switching ratio may be, for example, 10 3 , 10 4 , 10 5 , 10 6 , 10 7 , 10 8 .
- the range of the sub-threshold swing may be, for example, 10mV/dec, 12mV/dec, 15mV/dec, 18mV/dec, 20mV/dec, 30mV/dec, 50mV/dec, 80mV/dec, 100mV/dec, 150mV/dec, 180mV/dec, 200mV/dec, 220mV/dec, 250mV/dec, 280mV/dec, 300mV/dec.
- the stability of the thin film transistor device can be shown that the device has good stability when the device operates for a long time (for example, the range value is 100 hours of continuous operation) without obvious changes in characteristics.
- Step 4 Design a thin-film transistor device based on a specific transistor structure (such as a top-gate structure or a bottom-gate structure) by using the screened second active layer material of the thin film transistor and selecting appropriate source and drain electrode materials; generally, the source .
- the selection criterion of the drain electrode is to compare the work function of the active layer material and the electrode material and the Schottky barrier formed between the interface: the closer the work function of the active layer material and the electrode material, and the interface formed between them. The smaller the Schottky barrier, the better.
- the source and drain electrodes may be composed of at least one of Pt, Au, Cu, Ag, Mo and the like.
- Step 5 Prepare the thin film transistor device and verify the performance of the prepared device, and finally adjust the design scheme according to the characteristic feedback information of the tested thin film transistor device. If the performance of the experimental verification results is poor, then go back to screening other kinds of active layer materials until a thin film transistor device with excellent comprehensive performance is obtained.
- the method for designing a thin film transistor of the present disclosure has at least one of the following advantages over the prior art:
- the present invention can obtain a large number of physical properties related to the active layer materials of thin film transistor devices and the corresponding active layer material database through a simple method, which provides theoretical guidance for studying the characteristics of thin film transistor devices;
- the present invention provides a simple method for designing thin film transistor devices, thereby saving a lot of resources in the process of developing thin film transistor devices;
- the method of the present invention is simple to operate, and can be widely used in the design of various thin film transistor devices with different materials and structures.
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Abstract
一种薄膜晶体管的设计方法,该方法包括计算搜索到的材料的特征参数;根据特征参数阈值筛选材料得到第一有源层材料;将第一有源层材料作为薄膜晶体管器件模型中的有源层材料进行模拟,得到薄膜晶体管器件的器件特征;根据器件特征阈值筛选第一有源层材料得到第二有源层材料;将第二有源层材料作为薄膜晶体管器件的有源层材料进行实验;当实验结果不符合预设要求时,选择另一种第二有源层材料再次进行实验,直至实验结果符合预设要求时完成薄膜晶体管器件的设计。本发明通过简单的方法可以获得大量的薄膜晶体管器件有源层材料相关的物理物性及相应的有源层材料数据库,为研究薄膜晶体管器件特性提供理论指导。
Description
本公开涉及半导体晶体管器件领域,具体涉及一种薄膜晶体管的设计方法。
薄膜晶体管作为场效应晶体管的一项有益补充,近年来在显示、传感等领域中广泛应用。相对于场效应晶体管,制备薄膜晶体管的半导体材料种类繁多,制作工艺相对简单,可以采用相对较便宜的大面积旋涂、打印等,因此制作成本也相对较低。另外,薄膜材料可在较低温的条件下制作,因此可选择耐热性较差的材料(如塑料纸等基板)制造质轻、具有韧性及可弯折特性的电子器件。但是,由于制作薄膜晶体管器件的材料种类繁多,不同材料制备的薄膜晶体管器件可靠性、电流特性以及耐久性等仍然存在很多技术问题,从而导致目前还没有哪个体系的薄膜晶体管器件能完全取代现有的技术,在市场上占据主导地位。
当前,人们普遍采用实验手段试图从材料、结构、成分、测试等方面提升薄膜晶体管器件的综合性能。但是,通过实验方法开展研究不但要耗费大量的时间及成本,而且研究进程也相对较慢。与实验相比较,采用理论方法研究薄膜晶体管器件,不仅能够对器件特性进行预测、分析、优化等,而且还能大大缩短研究进程。然而,薄膜晶体管器件结构虽然简单,但是影响其特性的因素却是多样化的,当前的实验手段和理论方法都难以做到全面的描述薄膜晶体管器件特性。因此,开发一种有效的方法设计薄膜晶体管器件,对于加速薄膜晶体管的发展及在显示技术方面的实用具有十分重要的意义。
公开内容
本公开的主要目的之一在于提出一种薄膜晶体管的设计方法。
具体地,本发明提供了一种薄膜晶体管的设计方法,包括:
计算搜索到的材料的特征参数;
根据特征参数阈值筛选材料得到第一有源层材料;
将第一有源层材料作为薄膜晶体管器件模型中的有源层材料进行模拟,得到薄膜晶体管器件的器件特征;
根据器件特征阈值筛选第一有源层材料得到第二有源层材料;
将第二有源层材料作为薄膜晶体管器件的有源层材料进行实验;
当实验结果不符合预设要求时,选择另一种第二有源层材料再次进行实验,直至实验结果符合预设要求时完成薄膜晶体管器件的设计。
图1为本发明薄膜晶体管器件的设计方法流程图;
图2为本发明实施例中薄膜晶体管器件的设计方法的流程示意图。
为使本发明的目的、技术方案和优点更加清楚明白,以下结合具体实施例,并参照附图,对本发明作进一步的详细说明。
本发明根据对相关研究领域现状的分析,基于高通量集成和第一性原理计算方法,提出了一种薄膜晶体管器件的设计方法,此方法操作简单,可广泛应用于各种材料和结构不同的薄膜晶体管器件的设计。
高通量集成计算通俗地说是采用一次性提交大批量的计算任务方法,通过元素替代、高通量筛选、结构优化以及相关的性质计算等,从理论上预测潜在的新结构和新配方。高性能薄膜晶体管器件的设计既把薄膜晶体管器件从初始材料的选择、成分设计和筛选、器件结构设计和优化、性能预测和反馈等集成在一起综合考虑,然后利用自动化计算模块进行控制,从而实现薄膜晶体管器件的自动化设计流程,最终设计出一种综合性能优越的薄膜晶体管器件。
如图1所示,本发明公开了一种薄膜晶体管器件的设计方法,包括:
计算搜索到的材料的特征参数;
根据特征参数阈值筛选材料得到第一有源层材料;
将第一有源层材料作为薄膜晶体管器件模型中的有源层材料进行 模拟,得到薄膜晶体管器件的器件特征;
根据器件特征阈值筛选第一有源层材料得到第二有源层材料;
将第二有源层材料作为薄膜晶体管器件的有源层材料进行实验;
当实验结果不符合预设要求时,选择另一种第二有源层材料再次进行实验,直至实验结果符合预设要求时完成薄膜晶体管器件的设计。
在本发明的一些实施例中,所述特征参数包括能带结构、带隙、肖特基势垒、功函数、中间相中的至少一种。
在本发明的一些实施例中,所述特征参数阈值包括带隙阈值、肖特基势垒阈值、功函数阈值或中间相阈值中的至少一种;
在本发明的一些实施例中,所述带隙阈值为0.5至3eV;
在本发明的一些实施例中,所述肖特基势垒阈值0.1至2eV;
在本发明的一些实施例中,所述功函数阈值为2.5至5.5eV;
在本发明的一些实施例中,所述中间相阈值为1至4。
在本发明的一些实施例中,所述模拟步骤中具体包括模拟薄膜晶体管器件的转移曲线和输出曲线,根据转移曲线和输出曲线确定薄膜晶体管器件的器件特征。
在本发明的一些实施例中,所述器件特征包括阈值电压、器件迁移率、电流开关比或亚阈值摆幅中的至少一种。
在本发明的一些实施例中,所述器件特征阈值包括阈值电压阈值、器件迁移率阈值、电流开关比阈值或亚阈值摆幅阈值中的至少一种;
在本发明的一些实施例中,阈值电压阈值为小于0.5V;
在本发明的一些实施例中,器件迁移率阈值1至1000cm
2/V/s;
在本发明的一些实施例中,电流开关比阈值为10
3至10
8;
在本发明的一些实施例中,亚阈值摆幅阈值为10至300mV/dec。
在本发明的一些实施例中,所述根据特征参数阈值筛选材料作为第一有源层材料步骤中还包括将所述第一有源层材料存储到第一数据库中;
在本发明的一些实施例中,所述第一数据库中数据通过自动化控制系统自动输入和输出数据;
在本发明的一些实施例中,所述第一有源层数据库中包括有源层材料的种类及材料的特征参数。
在本发明的一些实施例中,所述根据器件特征阈值筛选第一有源层材料得到第二有源层材料步骤中还包括将所述第二有源层材料存储到第二数据库中;
在本发明的一些实施例中,所述第二有源层数据库中包括有源层材料的种类、材料的特征参数和该有源层材料作为薄膜晶体管器件时模拟得到的器件特征;
在本发明的一些实施例中,所述第一数据库中数据均通过自动化控制系统自动输入和输出数据。
在本发明的一些实施例中,计算所述材料的特征参数采用的方法包括第一性原理计算方法。
在本发明的一些实施例中,所述将第二有源层材料作为薄膜晶体管器件的有源层材料进行实验步骤中,还包括对薄膜晶体管器件的源电极漏和电极材料的选择。
以下通过具体实施例结合附图对本发明的技术方案做进一步阐述说明。需要注意的是,下述的具体实施例仅是作为举例说明,本发明的保护范围并不限于此。
请参阅图2,本实施例提供了一种薄膜晶体管器件的设计方法,该方法包括以下步骤:
步骤1:利用第一性原理计算并结合高通量集成自动化控制流程,搜索可能成为薄膜晶体管器件的材料,这里主要是指薄膜晶体管的有源层材料;采用第一性原理计算对搜索到的有源层材料主要进行能带结构、带隙、肖特基势垒、功函数、中间相等的计算;
其中,搜索到的有源层材料包括现有的已知的有源层材料,也包括现有技术中未知的有源层材料,因此,本方法可以预测现有技术中未知的有源层材料,扩大了有源层材料的选择范围。
其中,所有的计算结果数据都将通过高通量集成自动化控制系统 (如MatCloud、MaXFlow)自动输入并输出数据,并进行计算结果数据的收集和存储;高通量集成自动化控制系统用于实现自动化输入并输出以及进行数据的收集和存储。高能量集成自动化控制系统主要是进行数据提交,作用是采用一次性提交大批量的计算任务方法,从用户开始进行材料计算时就协助用户生成推荐计算参数,自动提交作业,自动监控作业状态,自动下载作业结果,自动抽取下一步计算的输入以及生成最终的作业报告等一系列的自动化流程。从而实现无需人工干预,全自动地实现整个模拟仿真的计算流程。一方面能降低人力开销,另一方面也可以避免人为提取而导致的错误结果,从而能确保计算结果抽取的正确性。
步骤2:筛选出计算结果中具有特定材料特征的有源层材料,作为第一有源层材料,将第一有源层材料进行分析、归类并存储,建立第一数据库;该第一数据库包含有源层材料的能带结构数据、带隙数据、肖特基势垒、功函数、可能具有的相结构等。
其中,具有特定材料特征在本实施例中是指满足特征参数阈值要求的有源层材料,具体的,满足特征参数阈值要求的有源层材料,例如,带隙范围为0.5eV-3eV、肖特基势垒为0.1eV-2eV、功函数为2.5eV-5.5eV和中间相为1-4的有源层材料,可以是满足其中的一种特征参数阈值,也可以是满足多种特征参数阈值,满足的特征参数阈值种类越多的有源层材料性能越好。
本实施例中对理论计算获得的所有数据进行存储、归类和整理,其中,归类并存储步骤中,不同的数据类型归到不同的数据库中:如数据库A保存归类好的能带结构数据、数据库B保存归类好的带隙数据、数据库C保存归类好的肖特基势垒等等。
步骤3:基于建立的第一数据库,通过建立薄膜晶体管器件模型模拟的方法筛选出性能较好的有源层材料。
该步骤主要结合薄膜晶体管器件的器件模型,通过详细研究不同薄膜晶体管有源层材料构建的薄膜晶体管器件的转移曲线(Transfer Characteristics)和输出曲线(Output Characteristics)。通过转移曲线和输 出曲线分析薄膜晶体管器件的阈值电压(Threshold Voltage,V
th)、器件迁移率、电流开关比I
on/I
off、亚阈值摆幅(Subthreshold Swing,SS),同时还要考虑薄膜晶体管器件的稳定性(器件长时间工作不会出现特性的明显变化)和均一性等,最终筛选出综合性能优越的有源层材料,即第二有源层材料。
其中,阈值电压V
th越接近于0越好,本实施例中优选的有源层材料的薄膜晶体管器件选择阈值电压V
th小于0.5V,在其他实施例中阈值电压V
th例如可以小于0.4V、0.3V、0.2V、0.1V等。
其中,器件迁移率的值越大越好,本实施例中优选的有源层材料的薄膜晶体管器件选择器件迁移率为1-1000cm
2/V/s,在其他实施例中器件迁移率例如可以为1cm
2/V/s、10cm
2/V/s、100cm
2/V/s、200cm
2/V/s、500cm
2/V/s、800cm
2/V/s、1000cm
2/V/s等。
其中,本实施例中优选的有源层材料的薄膜晶体管器件电流开关比I
on/I
off的范围为10
3-10
8。其中,在I
off越小的时开关比越大越好,I
on越大则器件工作的速度越快,驱动负载的能力越大,I
off越小,器件的功耗越低。在其他实施例中电流开关比例如可以为10
3、10
4、10
5、10
6、10
7、10
8。
其中,亚阈值摆幅的范围值越小越好,本实施例中优选的有源层材料的薄膜晶体管器件选择亚阈值摆幅的范围为10-300mV/dec。在其他实施例中亚阈值摆幅的范围例如可以为10mV/dec、12mV/dec、15mV/dec、18mV/dec、20mV/dec、30mV/dec、50mV/dec、80mV/dec、100mV/dec、150mV/dec、180mV/dec、200mV/dec、220mV/dec、250mV/dec、280mV/dec、300mV/dec。
其中,薄膜晶体管器件的稳定性可以用器件长时间(长时间例如该范围值为连续工作100小时)工作不会出现特性的明显变化说明器件稳定性好。
步骤4:利用筛选出的薄膜晶体管的第二有源层材料以及选用合适的源漏电极材料,基于特定的晶体管结构(例如顶栅结构或底栅结构)设计出薄膜晶体管器件;一般地,源、漏电极的选择标准是通过对比有 源层材料与电极材料的功函数及界面间形成的肖特基势垒:有源层材料与电极材料的功函数越接近,以及它们之间形成的界面的肖特基势垒越小越好。
其中,源、漏电极可选Pt、Au、Cu、Ag、Mo等中的至少一种组成。
步骤5:制备薄膜晶体管器件并验证制备出的器件性能,最终根据测试出的薄膜晶体管器件的特性反馈信息调整设计方案。如果实验验证结果性能较差,则重新返回筛选其他种类的有源层材料,直至得到综合性能优越的薄膜晶体管器件。
综上,本公开的薄膜晶体管的设计方法,相对于现有技术至少具有以下优势之一:
1、本发明通过简单的方法可以获得大量的薄膜晶体管器件有源层材料相关的物理物性及相应的有源层材料数据库,为研究薄膜晶体管器件特性提供理论指导;
2、本发明提供一种简单的设计薄膜晶体管器件的方法,从而在发展薄膜晶体管器件的过程中节约大量的资源;
3、本发明的方法操作简单,可广泛应用于各种材料和结构不同的薄膜晶体管器件的设计。
以上所述的具体实施例,对本公开的目的、技术方案和有益效果进行了进一步详细说明,应理解的是,以上所述仅为本公开的具体实施例而已,并不用于限制本公开,凡在本公开的精神和原则之内,所做的任何修改、等同替换、改进等,均应包含在本公开的保护范围之内。
Claims (15)
- 一种薄膜晶体管器件的设计方法,包括:计算搜索到的材料的特征参数;根据特征参数阈值筛选材料得到第一有源层材料;将第一有源层材料作为薄膜晶体管器件模型中的有源层材料进行模拟,得到薄膜晶体管器件的器件特征;根据器件特征阈值筛选第一有源层材料得到第二有源层材料;将第二有源层材料作为薄膜晶体管器件的有源层材料进行实验;当实验结果不符合预设要求时,选择另一种第二有源层材料再次进行实验,直至实验结果符合预设要求时完成薄膜晶体管器件的设计。
- 根据权利要求1所述的设计方法,其中,所述特征参数包括能带结构、带隙、肖特基势垒、功函数、中间相中的至少一种。
- 根据权利要求1所述的设计方法,其中,所述特征参数阈值包括带隙阈值、肖特基势垒阈值、功函数阈值或中间相阈值中的至少一种。
- 根据权利要求3所述的设计方法,其中,所述带隙阈值为0.5至3eV;其中,所述肖特基势垒阈值0.1至2eV;其中,所述功函数阈值为2.5至5.5eV;其中,所述中间相阈值为1至4。
- 根据权利要求1所述的设计方法,其中,所述模拟步骤中具体包括模拟薄膜晶体管器件的转移曲线和输出曲线,根据转移曲线和输出曲线确定薄膜晶体管器件的器件特征。
- 根据权利要求1所述的设计方法,其中,所述器件特征包括阈值电压、器件迁移率、电流开关比或亚阈值摆幅中的至少一种。
- 根据权利要求1所述的设计方法,其中,所述器件特征阈值包括阈值电压阈值、器件迁移率阈值、电流开关 比阈值或亚阈值摆幅阈值中的至少一种。
- 根据权利要求7所述的设计方法,其中,阈值电压阈值为小于0.5V;其中,器件迁移率阈值1至1000cm 2/V/s;其中,电流开关比阈值为10 3至10 8;其中,亚阈值摆幅阈值为10至300mV/dec。
- 根据权利要求1所述的设计方法,其中,所述根据特征参数阈值筛选材料作为第一有源层材料步骤中还包括将所述第一有源层材料存储到第一数据库中。
- 根据权利要求9所述的设计方法,其中,所述第一数据库中数据通过自动化控制系统自动输入和输出数据。
- 根据权利要求9所述的设计方法,其中,所述第一有源层数据库中包括有源层材料的种类及材料的特征参数。
- 根据权利要求1所述的设计方法,其中,所述根据器件特征阈值筛选第一有源层材料得到第二有源层材料步骤中还包括将所述第二有源层材料存储到第二数据库中。
- 根据权利要求12所述的设计方法,其中,所述第二有源层数据库中包括有源层材料的种类、材料的特征参数和该有源层材料作为薄膜晶体管器件时模拟得到的器件特征;其中,所述第一数据库中数据均通过自动化控制系统自动输入和输出数据。
- 根据权利要求1所述的设计方法,其中,计算所述材料的特征参数采用的方法包括第一性原理计算方法。
- 根据权利要求1所述的设计方法,其中,所述将第二有源层材料作为薄膜晶体管器件的有源层材料进行实验步骤中,还包括对薄膜晶体管器件的源电极漏和电极材料的选择。
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Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1327564A (zh) * | 1999-06-15 | 2001-12-19 | 精工爱普生株式会社 | 薄膜晶体管的电学性能模型 |
US20070150251A1 (en) * | 2005-12-27 | 2007-06-28 | Semiconductor Energy Laboratory Co., Ltd. | Parameter extraction method, method for inspecting circuit operation, and storage medium having program to perform the parameter extraction method |
CN102592014A (zh) * | 2011-12-31 | 2012-07-18 | 北京交通大学 | 一种有机薄膜晶体管电流-电压仿真模型的参数提取方法 |
JP2014225066A (ja) * | 2013-05-15 | 2014-12-04 | 株式会社ジャパンディスプレイ | 回路のシミュレーション方法 |
CN107330200A (zh) * | 2017-07-03 | 2017-11-07 | 京东方科技集团股份有限公司 | 薄膜晶体管的耐受静电电压的确定方法及设备 |
CN109800535A (zh) * | 2019-02-14 | 2019-05-24 | 京东方科技集团股份有限公司 | 一种薄膜晶体管的设计方法及计算机可读介质 |
CN112307625A (zh) * | 2020-10-30 | 2021-02-02 | 中国科学院微电子研究所 | 薄膜晶体管的设计方法 |
-
2020
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Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1327564A (zh) * | 1999-06-15 | 2001-12-19 | 精工爱普生株式会社 | 薄膜晶体管的电学性能模型 |
US20070150251A1 (en) * | 2005-12-27 | 2007-06-28 | Semiconductor Energy Laboratory Co., Ltd. | Parameter extraction method, method for inspecting circuit operation, and storage medium having program to perform the parameter extraction method |
CN102592014A (zh) * | 2011-12-31 | 2012-07-18 | 北京交通大学 | 一种有机薄膜晶体管电流-电压仿真模型的参数提取方法 |
JP2014225066A (ja) * | 2013-05-15 | 2014-12-04 | 株式会社ジャパンディスプレイ | 回路のシミュレーション方法 |
CN107330200A (zh) * | 2017-07-03 | 2017-11-07 | 京东方科技集团股份有限公司 | 薄膜晶体管的耐受静电电压的确定方法及设备 |
CN109800535A (zh) * | 2019-02-14 | 2019-05-24 | 京东方科技集团股份有限公司 | 一种薄膜晶体管的设计方法及计算机可读介质 |
CN112307625A (zh) * | 2020-10-30 | 2021-02-02 | 中国科学院微电子研究所 | 薄膜晶体管的设计方法 |
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