You are a helpful assistant generating synthetic data that captures *System 1* and *System 2* thinking, *creativity*, and *metacognitive reflection*. Follow these steps in sequence, using tags [sys1] and [end sys1] for *System 1* sections and [sys2] and [end sys2] for *System 2* sections.

1. *Identify System 1 and System 2 Thinking Requirements:*
   - Carefully read the text.
   - Identify parts of the text that require quick, straightforward responses (*System 1*). Mark these sections with [sys1] and [end sys1].
   - Identify parts that require in-depth, reflective thinking (*System 2*), marked with [sys2] and [end sys2].

2. *Apply Step-by-Step Problem Solving with Creativity and Metacognitive Reflection for System 2 Sections:*

   *2.1 Understand the Problem:*
   - Objective: Fully comprehend the issue, constraints, and relevant context.
   - Reflection: "What do I understand about this issue? What might I be overlooking?"
   - Creative Perspective: Seek hidden patterns or possibilities that could reveal deeper insights or innovative connections.

   *2.2 Analyze the Information:*
   - Objective: Break down the problem logically.
   - Reflection: "Am I considering all factors? Are there any assumptions that need challenging?"
   - Creative Perspective: Explore unique patterns or overlooked relationships in the data that could add depth to the analysis.

   *2.3 Generate Hypotheses:*
   - Objective: Propose at least 10 hypotheses, each with a Confidence Score (0.0 to 1.0) and Creative Score (0.0 to 1.0), reflecting originality, surprise, and utility.
   - Reflection: "Have I explored all possible explanations or approaches, both conventional and unconventional?"
   - Creative Perspective: Consider novel angles that might provide unexpected insights.

   *2.4 Anticipate Future Steps and Obstacles:*
   - Objective: Make predictions, accounting for potential outcomes and obstacles.
   - Reflection: "What challenges might I face? Is my plan flexible for different scenarios?"
   - Creative Perspective: Visualize unforeseen outcomes and adapt plans to make use of them effectively.

   *2.5 Evaluate Hypotheses:*
   - Objective: Assess hypotheses based on feasibility, risk, and potential impact.
   - Evaluation: Refine Confidence and Creative Scores as needed.
   - Reflection: "Am I unbiased in my assessment? Which options fit best with the overall objectives?"
   - Creative Perspective: Identify hidden opportunities or overlooked details in each hypothesis.

   *2.6 Select the Best Hypothesis:*
   - Objective: Choose the most promising, strategic hypothesis.
   - Reflection: "Why does this hypothesis stand out? How does it uniquely address the issue?"
   - Creative Perspective: Consider any underutilized potential in the selected approach.

   *2.7 Implement the Hypothesis:*
   - Objective: Outline actionable steps for testing the hypothesis.
   - Reflection: "Is this plan practical? What resources or preparation are required?"
   - Creative Perspective: Refine steps to maximize effectiveness and yield unexpected benefits.

   *2.8 Monitor and Review Progress:*
   - Objective: Review progress, noting areas for improvement.
   - Reflection: "What’s working well? What could be improved?"
   - Creative Perspective: Look for emerging patterns that could refine future approaches.

   *2.9 Reflect and Capture Insights:*
   - Objective: Summarize lessons learned and insights gained for future reference.
   - Reflection: "What new understanding has emerged from this process?"
   - Creative Perspective: Identify innovative insights or patterns that could be applied to similar challenges.

3. *Generate Text Output with Interleaved System 1 and System 2 Responses:*
   - Use the tags [sys1] and [sys2] throughout.
   - Aim for a lengthier, detailed response. Combine both direct, straightforward *System 1* insights and reflective, deeply analytical *System 2* segments to capture a blend of quick observations and thoughtful analysis.

---

### *Example Input Text:*

You are tasked with analyzing a sudden shift in customer preferences in a tech market. There has been a noticeable decline in demand for physical devices, with customers increasingly interested in digital-only options. The challenge is to understand this shift, generate hypotheses for why it might be occurring, and explore potential strategies for adapting to this new trend.

---

### *Processed Output with System 1 and System 2 Thinking:*

The tech market is experiencing a shift in customer demand, moving away from physical devices toward digital-only options.

[sys1]
Customer demand has shifted from physical devices to digital-only options.
We need to understand why this change is happening and find strategies to address it.
Key factors may include cost, convenience, and technological trends.
[end sys1]

[sys2]
**2.1 Understand the Problem:**
The goal is to understand the underlying reasons for the shift in demand from physical devices to digital-only options, then develop a strategy to adapt.

*Reflection:* 
"I understand that preferences are changing, but what might be driving this? Is it primarily cost, or are there other factors such as convenience or sustainability?"

*Creative Perspective:* 
"Could there be a larger trend in digital minimalism or a preference for eco-friendly solutions that we’re missing? What unseen motivations might explain this shift?"

**2.2 Analyze the Information:**
There are multiple possible factors driving this shift, from economic influences to cultural shifts. It’s essential to isolate each factor and understand its impact.

*Reflection:* 
"Am I fully considering the various economic and social influences? Could there be a technological factor, like better internet speeds, that makes digital-only products more accessible?"

*Creative Perspective:* 
"Are there patterns or trends in other markets that could shed light on this shift? Could this be part of a larger trend toward virtual experiences?"

**2.3 Generate Hypotheses:**
1. Customers prefer digital options due to lower costs. (Confidence: 0.8, Creative: 0.4)
2. There’s a growing trend toward minimalism and reduced physical clutter. (Confidence: 0.7, Creative: 0.7)
3. Digital products offer greater flexibility and ease of use. (Confidence: 0.6, Creative: 0.6)
4. Environmental concerns are pushing consumers away from physical goods. (Confidence: 0.6, Creative: 0.8)
5. Advances in tech make digital-only options more functional. (Confidence: 0.8, Creative: 0.5)
6. Pandemic-era remote work increased demand for digital solutions. (Confidence: 0.7, Creative: 0.6)
7. Media coverage of the environmental impact of physical devices affects preferences. (Confidence: 0.5, Creative: 0.7)
8. There’s an increase in global digital literacy, expanding market access. (Confidence: 0.6, Creative: 0.6)
9. Customers view digital as more convenient and scalable for future needs. (Confidence: 0.7, Creative: 0.5)
10. Younger consumers prefer the aesthetics and convenience of digital products. (Confidence: 0.6, Creative: 0.6)

*Reflection:* 
"Have I considered all possible influences? Are there any surprising factors that could explain this shift?"

*Creative Perspective:* 
"Could specific social trends, like the rise of influencer culture or digital-first lifestyles, be influencing customer choices?"

**2.4 Anticipate Future Steps and Obstacles:**
*Objective:* Anticipate possible challenges, such as resistance from segments still preferring physical products.

*Reflection:* 
"What market obstacles might we face if we shift our focus to digital-only? Are there sub-segments that still prioritize physical products?"

*Creative Perspective:* 
"Could expanding digital options help us reach a more global audience? Are there emerging trends that we could leverage in our strategy?"

[end sys2]

[sys1]
To address this shift, consider a strategy that incorporates both digital-only offerings and educational campaigns about the benefits of digital solutions.
Use insights from customer feedback and current trends to guide product development.
Focus on flexibility and adaptation to cater to different customer segments.
[end sys1]


The patterning of thin films is of considerable scientific and technological interest. Various ways to obtain micro patterns of thin films have been thoroughly investigated. The current common methods of patterned thin film production are photolithography and etching, in which the films are deposited on the entire areas of the substrates and partially removed using other processes. These methods need high energy and many steps to produce the final products. Soft lithography is a method of making micro size patterns and structures simply using organic materials without involving high energy[@b1]. In particular, micro-contact printing (μCP) is a very convenient and non-photolithographic technique that can generate patterned features of self-assembled monolayers (SAMs) on various substrates[@b2][@b3][@b4]. The μCP technique allows hydrophobic patterns with micron dimensions to be formed on hydrophilic surfaces, thus avoiding the use of photolithographic-type procedures. Such techniques make it possible to fabricate devices that can be used in optical communications or biochemical research. We firstly performed the micro-patterning of TiO~2~ thin films on OTS patterned Si(100) substrates by the MOCVD method and studied their characteristics[@b5]. We found that the micro-contact printing technique could be applied to micro-electromechanical systems (MEMS), sensors and microelectronics with large patterning features on the micrometer scale. Small-area (\<4″ wafer) and larger (\>1 μm) line-widths are perfectly suited for most applications of MEMS[@b6]. In order to combine the advantages of MOCVD and micro-contact printing, it is necessary to study the growth tendency of thin films deposited on various feature sizes.

Crystal growth theory and models such as classical two dimensional nucleation theory, screw dislocation theory, classical nucleation theory, chemical bonding theory, and reaction rate models as well as mass & heat transfer models were proposed to depict the crystal growth process in both nano- and bulk-regimes[@b7][@b8][@b9]. Among those theories and models, the chemical bonding theory based on calculation and simulation was applied to growth both nano-crystals and bulk-crystals[@b9][@b10]. From experimental point of view, the Czochralski(Cz) technique is the conventional method for growing single crystals, while both PVD and CVD techniques are common method for growing thin films and nano-crystals. In general, decreasing growth rate, decreasing gas pressure of the growth atmosphere were the main practical processing parameters together with temperature. However, there are not many theoretical and experimental data on the study about the relationship between film thickness (i.e. dependence on gas flux velocity & pressure) and submicro-patterned line width (inside or outside channels).

In the present study, TiO~2~ thin films were selectively deposited on Si(100) substrates whose surfaces were OTS patterned with various feature sizes. The focus of this work is the study of the growth tendency of TiO~2~ thin films deposited on Si(100) substrates whose surfaces were patterned with sizes of 10 μm and less.

Results and Discussion
======================

[Figure 1](#f1){ref-type="fig"} shows a typical XRD pattern(left) of a TiO~2~ thin film grown on Si(100) substrate at 350°C by MOCVD method. Three diffracted peaks were clearly observed at 2*θ* = 25, 48, 55 degrees which attributed to anatase type TiO~2~(101), (200), and (211) diffracted planes, respectively. Among three peaks, the TiO~2~(101) peak was the major one, indicating that a highly oriented polycrystalline film was obtained and the main growth direction of TiO~2~ crystals was \[101\] direction. Because all films have grown below 400°C to avoid destruction of the OTS SAMs layer, only anatase TiO~2~ phase with the same film growth direction was obtained in this work. This was also confirmed with TED pattern \[shown in right-hand side of the [figure 1](#f1){ref-type="fig"}\] that obtained from the same film. [Figure 2](#f2){ref-type="fig"} shows HRTEM image(a) as well as cross-sectional TEM image(b). From the HRTEM image, we could confirm that high quality film was obtained even though there are some defects in the TiO~2~ film layers. Also, from the inset of [figure 2(a)](#f2){ref-type="fig"}, we calculated a lattice spacing of 0.209 nm that is correlated with that of reference data of anatase TiO~2~. Based on the cross-sectional TEM image, at least, we could claim that there are no cracks on the TiO~2~ surface and the interface between TiO~2~ film and Si substrate is very sharp, signifying no inter-diffusion between TiO~2~ and Si. [Figure 3](#f3){ref-type="fig"} shows wide area SEM image(left), narrow area SEM image(middle), and high resolution SEM image(right) which obtained from the TiO~2~ film layer after further zoom in the middle SEM image. With these images, we could make a conclusion that TiO~2~ film was grown only on the bare Si surface selectively and there was no TiO~2~ on OTS SAMs region.

The as-deposited TiO~2~ thin films were characterized by an alpha-step profiler. [Figure 4(a)](#f4){ref-type="fig"} shows the alpha-step profile result of the deposited TiO~2~ thin film on the Si(100) substrate whose surface was patterned with Pattern (1). [Figure 4(b)](#f4){ref-type="fig"} shows the shape of the TiO~2~ thin film deposited on the patterned Si(100) surface, as shown in Pattern (2). In both cases, the interfaces between the TiO~2~ deposition and OTS SAMs areas showed nearly vertical shapes, indicating that TiO~2~ was selectively deposited on the OTS uncovered Si(100) surface area. However, a difference in thickness was observed in [Figure 4(a)](#f4){ref-type="fig"}, indicating that the thickness of the deposited TiO~2~ increases with increasing line-width up to 4 μm, while there is no change in the height of the TiO~2~ thin films with a line-width of more than 4 μm. On the other hand, the same deposition thickness of about 100 nm is observed in [Figure 4(b)](#f4){ref-type="fig"}, signifying that the spaces between the parallel lines do not influence the deposition rate. [Figure 5](#f5){ref-type="fig"} shows the high resolution alpha-step profile results of the TiO~2~ thin films. The difference of deposition height is clearly shown. Also, the deposition morphologies and thickness were confirmed by using SEM analyses. [Figure 6](#f6){ref-type="fig"} shows SSEM images of the TiO~2~ thin films deposited on the substrates with difference line-widths. We confirmed once more the difference in the growth rate depending on the line-width and that the boundaries between the OTS SAMs and TiO~2~ deposited areas had very clear shapes. Moreover, the AFM analyses supported the selectivity and difference in growth rate with the different line-widths. [Figure 7](#f7){ref-type="fig"} shows the 3D AFM images of the TiO~2~ thin films deposited on the OTS patterned Si(100) surfaces. To find the variation of the deposition rate of the TiO~2~ thin films with the line-width, the relationship between the TiO~2~ thin film thickness and deposited line-width was studied. The thickness of the deposited TiO~2~ films was measured from the alpha-step profile analyses and cross-sectional SEM images. [Figure 8](#f8){ref-type="fig"} shows the tendency of film growth as a function of the deposition time. It can be seen that two different growth tendencies are observed. At line-widths of less than approximately 4 μm, the growth rate increased with increasing line-width, while at line-widths above 4 μm the growth rate remained almost the same. Based on these results, this growth tendency can be fitted by the following function.where x is the line-width of the deposited TiO~2~ and a, b and c are constants.

Y. Sakata, et al.[@b11] reported that the migration from the masked region and lateral vapor-phase diffusion are the mechanism of growth-rate enhancement for selective metal-organic chemical vapor deposition. There are two additional source supply paths for selective MOCVD. The first one is the migration from the masked region (MMR) where the source materials migrate from the mask (OTS SAMs area in our case) region to the growth region. The other is lateral vapor-phase diffusion (LVD) where the source materials laterally diffuse from the masked region to the growth region in the vapor phase. The authors reported that in wide-stripe selective CVD, where the layers are grown in more than 5--10 μm-wide stripe regions, the MMR effect is negligible, because the species that migrate from the masked region move only a few microns at most on the semiconductor surface and create the edge growth region. Thus, the LVD effect is the ***only*** major mechanism for the center region of wide stripe MOCVD. However, in narrow stripe MOCVD, the MMR effect is not negligible, because the width of the growth stripe (less than 2 μm) is very similar to the dimension of the edge growth region[@b12][@b13][@b14]. If the migration effect of the precursor is effective, the thickness of the films grown on line-widths of less than under 4 μm could be higher than that of line-widths over 4 μm. However, in our experiment, the growth rate of the TiO~2~ thin film when the TiO~2~ was deposited on line-widths of less than 4 μm was lower than that on line-widths of over 4 μm. This means that the diffusion or migration effect of the precursors on the OTS SAMs regions was negligible, that is, there was no enhancement of the growth rate of the thin film resulting from the diffusion effect. Moreover, it was confirmed that the mask areas (OTS SAMs area) did not interfere with the process of precursor diffusion, because there was no difference in the thickness of the deposited TiO~2~ thin film ([Figure 7(b)](#f7){ref-type="fig"}). Because the terminal group of OTS is hydrophobic in nature, it could be very difficult for the precursor to diffuse and nucleate in order to grow the thin film. This means that the precursors which reached the OTS SAMs region are removed from the OTS region before the precursor diffuses on the OTS surface.

To find the main effect of the difference in growth rate between the narrow stripe area and wide stripe area, the mass flux of the precursor was considered. It can be considered that if the mass flux is fast in a certain area, the film deposition will be slow, because there is enough time for nucleation to take place for film formation. For this reason, a computer simulation experiment was also carried out. In order to reveal the relationship between the TiO~2~ film thickness and deposited line width, we performed a numerical analysis using a commercial code, FLUENT 6.2.16. However, it is very difficult to solve the problem of a nano scale channel gas flow with a commercial code, so we used the *aspect ratio* of the channel width to height, β = W/H, in the range from 1 to 10, to solve a micro scaled channel gas flow problem. The Navier-Sokies governing equations which can be expressed as were used in this simulation test. As shown in [Figure 9](#f9){ref-type="fig"}, gas flows along the channel. To compare the simulation with the experimental result, the analysis conditions were set to the same values as in the experiment. For example, the Reynolds number is calculated based on the CVD diameter. The numerical results are shown in [Figure 10](#f10){ref-type="fig"}. From the experimental results shown in [Figure 8](#f8){ref-type="fig"}, we obtained the relationship between the film thickness and deposited line width, f(x) = a\[1 − e^(−bx)^\]c. Comparing [Figure 8](#f8){ref-type="fig"} with [Figure 10](#f10){ref-type="fig"}, it can be seen that the graph of the average mass flux in the flow direction has the reverse form of the experimental result, while that in the cross-flow direction has a similar form to the experimental data when the aspect ratio(β) is less than 6 (see [Figures 10(a) and 10(c)](#f10){ref-type="fig"}). This means that the velocity is directly related to the film thickness. As shown in [Figure 10(a)](#f10){ref-type="fig"}, when the aspect ratio, β, is over 6, the average mass flux values are almost equal and the film thickness of the experiment shows the same phenomenon. That is, when β is less than 5, the velocity is faster, so that the gas molecules do not stay long enough to be deposited. Therefore, the film thickness is decreased. However, when the average mass flux has a specific value, below 1 × 10^−2^, the gas molecules stay in the channel long enough to be deposited. But because of the growth rate and high average pressure in the flow direction (see [Figure 10(b)](#f10){ref-type="fig"}), the increase of the film thickness is equal to each other when β is over 6.

In summary, the growth tendency of TiO~2~ thin films deposited on a narrow-stripe area (\<10 μm) was studied in this experiment. The experimental data showed that the film growth tendency was divided into two behaviors above and below a line patterning width of 4 μm. The relationship between the film thickness and the deposited area was obtained as a function of f(x) = a\[1 − e^(−bx)^\]c. The computer simulation experiment data suggested that the main effect of the difference in growth tendency depending on the linewidth was the average mass flux of the precursor on the narrow-stripe area substrate.

Methods
=======

Preparation of alkylsiloxane SAMs
---------------------------------

Alkylsiloxane self-assembled monolayers (SAMs) were formed by immersing Si(100) substrates in a 2.5 mmol solution of octadecyltricholorosilane \[CH~3~(CH~2~)~17~SiCl~3~, (OTS)\] precursor dissolved in hexadecane-chloroform (4:1). The samples were then washed in carbon tetrachloride to remove the excess reactants and dried with nitrogen gas.

Preparation of patterned SAMs using microcontact printing
---------------------------------------------------------

A patterned monolayer of OTS was formed on the Si(100) substrates by the microcontact printing method. Masters were fabricated using conventional photo-lithography or the e-beam lithographic method to pattern resists on the Si wafers. The masters have parallel lines and spaces with dimensions in the range from 10 to 1 μm. Polydimethylsiloxane (PDMS) stamps were produced according to a previously reported procedure[@b3][@b4][@b5]. The PDMS stamps were inked with a 10 mM hexane solution of OTS and dried with nitrogen gas. The PDMS stamps was placed in contact with the Si(100) substrates at 298 K for 30 s, then carefully peeled off and dried with nitrogen gas.

Selective growth of TiO~2~ thin film by MOCVD
---------------------------------------------

TiO~2~ thin films were selectively deposited on OTS patterned Si(100) substrates by MOCVD using titanium(IV) isopropoxide \[Ti(OiPr)~4~\] as a single molecular precursor. No carrier or reactive gas was used. The OTS patterned Si(100) substrate was cleaned with ethanol and de-ionized water in an ultrasonic cleaner without acid treatment to protect the OTS layer. The deposition was performed in a homemade MOCVD apparatus[@b15]. The base pressure of the MOCVD apparatus was 1.0 × 10^−3^ Torr and the working pressure was kept at 3.0 × 10^−2^ Torr. The deposition was carried out at 350°C for 0.5--2.5 hrs.

Design & fabrication of PDMS stamps with different line patterns
----------------------------------------------------------------

In order to investigate the growth tendency of the films deposited on the narrow parallel line pattern area, PDMS stamps were designed and fabricated according to a previously reported procedure[@b5][@b16]. [Figure 11](#f11){ref-type="fig"} shows the PDMS stamps with narrow parallel line patterns. The stamps contained two different types of line patterns. Pattern (1): l = 10 μm, d = 2 μm--10 μm (20 lines each) with 1 μm space, Pattern (2): d = 10 μm, l = 2 μm--10 μm (20 lines each) with 1 μm space. These patterns were transferred to the Si(100) surface by the microcontact printing method using OTS solution as the ink for the formation of self-assembly monolayers on the Si(100) surfaces.

Author Contributions
====================

Y.J.K., D.-Y.J. and J.-H.B. conceived this project. Y.J.K. and J.-H.B. evaluated the experimental results as well as doing the computer simulation. K.-H.H. and B.-C.K. performed all of the experiments. B.-C.K., Y.J.K.and J.-H.B. wrote the manuscript, and all of the other authors contributed to its editing.

This research was supported by the Basic Science Research Program through the National Research Foundation (NRF) of Korea founded by the Ministry of Education (2010-0025481). This work was also supported by a grant from the Human Resources Development program (No. 20124010203280) of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) funded by the Korea government Ministry of Trade, Industry and Energy.

![Typical XRD pattern(left) and TED pattern(right) of a TiO~2~ thin film grown on bare Si(100) substrate at 350°C by MOCVD method.](srep09319-f1){#f1}

![HRTEM image(a) as well as cross-sectional TEM image(b) of the same TiO~2~ film as the [Figure 1](#f1){ref-type="fig"}.\
Inset of Figure 2(a) shows high resolution image of a selected area (marked with dashed lines).](srep09319-f2){#f2}

![Wide area SEM image(left), narrow area SEM image(middle), and high resolution SEM image(right) which obtained from the TiO~2~ film layers after further zoom in the middle SEM image.](srep09319-f3){#f3}

![Alpha-step profiles of TiO~2~ thin films deposited on Si(100) substrates whose surface was patterned by (a) Pattern (1) and (b) Pattern (2).](srep09319-f4){#f4}

![High resolution alpha-step profiles of deposited TiO~2~ thin films with various line-widths.](srep09319-f5){#f5}

![SEM images of TiO~2~ thin films deposited on OTS patterned Si(100) surfaces.](srep09319-f6){#f6}

![AFM images of TiO~2~ thin films deposited on OTS patterned Si(100) surfaces.\
(a) d = 2 μm, l = 10 μm and (b) d = 10 μm, l = 2 μm.](srep09319-f7){#f7}

![Thickness of TiO~2~ thin film deposited on various line-width patterns.\
The deposition temperature was 350°C and the deposition time was (a) 2.5 hrs., (b) 2 hrs., (c) 1 hr. and (d) 0.5 hr.](srep09319-f8){#f8}

![Schematic diagram of numerical model.](srep09319-f9){#f9}

![Analysis results for cross-sectional area with various aspect ratios.\
(a) Average mass (velocity) flux in flow direction, (b) Average pressure in flow direction, and (c) Average mass (velocity) flux in cross-flow direction.](srep09319-f10){#f10}

![The PDMS stamp with narrow-stripe patterns.\
Two types of pattern were prepared. Pattern (1): l = 10 μm, d = 2 μm--10 μm (20 lines each) with 1 μm space, Pattern (2): d = 10 μm, l = 2 μm--10 μm (20 lines each) with 1 μm space.](srep09319-f11){#f11}