In no way should this data should be used to reflect actual Texas Instrument Graphing Calculator sales this is just a example dataset made by me for anyone who wants to use it for practice for data analysis and data cleaning.

3D Graphing Calculator Software Market Outlook

The 3D Graphing Calculator Software market is poised for robust growth, with the market size projected to expand from USD 1.2 billion in 2023 to approximately USD 2.8 billion by 2032, reflecting a compound annual growth rate (CAGR) of 9.5%. The increasing integration of advanced technologies in the educational and engineering sectors is one of the primary growth drivers for this market. As the demand for sophisticated visualization tools in both academic and professional settings escalates, the 3D graphing calculator software market is expected to witness significant expansion. The market's growth is further propelled by the continuous advancements in digital learning environments and the adoption of technology-driven methodologies in STEM education and technical fields.

One of the major growth factors in this market is the rising demand for interactive and dynamic learning tools in educational institutions. As the educational landscape evolves, there is a growing need for tools that can facilitate better understanding of complex mathematical and engineering concepts. 3D graphing calculator software provides an engaging way to visualize mathematical models and data, making it easier for students to grasp intricate subjects. Furthermore, educational institutions are increasingly adopting digital tools to enhance their STEM curriculum, which is boosting the demand for 3D graphing calculators. This shift towards digital and interactive learning is anticipated to play a crucial role in driving the market growth during the forecast period.

Another significant growth driver is the growing application of 3D graphing calculator software in engineering and research sectors. Engineering firms and research organizations are utilizing these tools to visualize complex data sets and model three-dimensional structures and equations, which is essential for design, analysis, and problem-solving processes. The ability of 3D graphing calculators to provide precise and detailed visual representations of mathematical models is particularly beneficial for engineering design and scientific research, where accuracy is paramount. The increasing complexity of engineering projects and scientific studies necessitates the use of advanced graphing tools, thereby fueling the adoption of 3D graphing calculator software within these sectors.

The proliferation of mobile and cloud-based platforms also contributes significantly to market growth. With the increasing availability of mobile applications that offer 3D graphing capabilities, users can access these tools on-the-go, which enhances flexibility and convenience. The cloud-based platforms provide seamless integration and collaboration capabilities, which are increasingly important in both educational and professional settings. The shift from traditional desktop applications to more versatile and accessible platforms is driving the market demand for 3D graphing calculator software across different user segments.

Digitaling Software has emerged as a pivotal player in the realm of 3D graphing calculator software, offering innovative solutions that cater to both educational and professional needs. With the increasing demand for interactive and dynamic learning tools, Digitaling Software provides platforms that enhance the visualization of complex mathematical models, making them accessible and engaging for users. Their commitment to integrating advanced technologies into their software solutions has positioned them as a leader in the market, driving the adoption of digital learning methodologies. As the market continues to evolve, Digitaling Software's focus on user-friendly interfaces and robust functionalities ensures that they remain at the forefront of this growing industry.

Regionally, North America is expected to maintain its dominance in the 3D graphing calculator software market, attributed to the widespread adoption of advanced educational technologies and the strong presence of key market players. Moreover, the region's robust academic infrastructure supports the integration of these tools in educational curricula. Europe follows closely, with significant investments in educational technology and STEM advancements. Meanwhile, the Asia Pacific region is projected to exhibit the highest growth rate due to the increasing government initiatives to promote digital education and the rapid technological development in countries like China and India. These regional dynamics indicate a healthy growth trajectory for the 3D graphing calculator soft

Depreciation Time Series for Texas Instruments Incorporated. Texas Instruments Incorporated designs, manufactures, and sells semiconductors to electronics designers and manufacturers in the United States, China, rest of Asia, Europe, Middle East, Africa, Japan, and internationally. The company operates through Analog and Embedded Processing segments. The Analog segment offers power products to manage power requirements across various voltage levels, including battery-management solutions, DC/DC switching regulators, AC/DC and isolated controllers and converters, power switches, linear regulators, voltage references, and lighting products. This segment provides signal chain products that sense, condition, and measure signals to allow information to be transferred or converted for further processing and control, including amplifiers, data converters, interface products, motor drives, clocks, and logic and sensing products. The Embedded Processing segment offers microcontrollers, processors, wireless connectivity, and radar products; and applications processors for specific computing activity. This segment offers products for use in various markets, such as industrial, automotive, personal electronics, communications equipment, enterprise systems, calculators, and others. It provides DLP products primarily for use in project high-definition images; calculators; and application-specific integrated circuits. The company markets and sells its semiconductor products through direct sales and distributors, as well as through its website. Texas Instruments Incorporated was founded in 1930 and is headquartered in Dallas, Texas.

Creators

Pol Febrer (pol.febrer@icn2.cat, ORCID 0000-0003-0904-2234) Peter Bjorn Jorgensen (peterbjorgensen@gmail.com, ORCID 0000-0003-4404-7276) Arghya Bhowmik (arbh@dtu.dk, ORCID 0000-0003-3198-5116)

Related publication

The dataset is published as part of the paper: "GRAPH2MAT: UNIVERSAL GRAPH TO MATRIX CONVERSION FOR ELECTRON DENSITY PREDICTION" (https://doi.org/10.26434/chemrxiv-2024-j4g21)

Short description

This dataset contains the Hamiltonian, Overlap, Density and Energy Density matrices from SIESTA calculations of the QM9 dataset (https://doi.org/10.6084/m9.figshare.c.978904.v5)

SIESTA 5.0.0 was used to compute the dataset.

Contents

The dataset has four directories:

• basis: Contains the files specifying the basis used for each atom.
• pseudos: Contains the pseudopotentials used for the calculation (obtained from http://www.pseudo-dojo.org/, type NC SR (ONCVPSP v0.5), PBE, standard accuracy)
• runs: The results of running the SIESTA simulations. Contents are discussed next.
• splits: The data splits used in the published paper. Each file "splits_X.json" contains the splits for training size X.

The "runs" directory contains one directory for each run, named with the index of the run. Each directory contains: - RUN.fdf, geom.fdf: The input files used for the SIESTA calculation. - RUN.out: The log of the SIESTA run, which apar - siesta.TSDE: Contains the Density and Energy Density matrices. - siesta.TSHS: Contains the Hamiltonian and Overlap matrices.

Each matrix can be read using the sisl python package (https://github.com/zerothi/sisl) like:

import sisl

matrix = sisl.get_sile("RUN.fdf").read_X()

where X is hamiltonian, overlap, density_matrix or energy_density_matrix.

To reproduce the results presented in the paper, follow the documentation of the graph2mat package (https://github.com/BIG-MAP/graph2mat).

Cite this data

https://doi.org/10.11583/DTU.c.7310005 © 2024 Technical University of Denmark

License

This dataset is published under the CC BY 4.0 license. This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator.

Stock Price Time Series for Texas Instruments Incorporated. Texas Instruments Incorporated designs, manufactures, and sells semiconductors to electronics designers and manufacturers in the United States, China, rest of Asia, Europe, Middle East, Africa, Japan, and internationally. The company operates through Analog and Embedded Processing segments. The Analog segment offers power products to manage power requirements across various voltage levels, including battery-management solutions, DC/DC switching regulators, AC/DC and isolated controllers and converters, power switches, linear regulators, voltage references, and lighting products. This segment provides signal chain products that sense, condition, and measure signals to allow information to be transferred or converted for further processing and control, including amplifiers, data converters, interface products, motor drives, clocks, and logic and sensing products. The Embedded Processing segment offers microcontrollers, processors, wireless connectivity, and radar products; and applications processors for specific computing activity. This segment offers products for use in various markets, such as industrial, automotive, personal electronics, communications equipment, enterprise systems, calculators, and others. It provides DLP products primarily for use in project high-definition images; calculators; and application-specific integrated circuits. The company markets and sells its semiconductor products through direct sales and distributors, as well as through its website. Texas Instruments Incorporated was founded in 1930 and is headquartered in Dallas, Texas.

Net-Income Time Series for Texas Instruments Incorporated. Texas Instruments Incorporated designs, manufactures, and sells semiconductors to electronics designers and manufacturers in the United States, China, rest of Asia, Europe, Middle East, Africa, Japan, and internationally. The company operates through Analog and Embedded Processing segments. The Analog segment offers power products to manage power requirements across various voltage levels, including battery-management solutions, DC/DC switching regulators, AC/DC and isolated controllers and converters, power switches, linear regulators, voltage references, and lighting products. This segment provides signal chain products that sense, condition, and measure signals to allow information to be transferred or converted for further processing and control, including amplifiers, data converters, interface products, motor drives, clocks, and logic and sensing products. The Embedded Processing segment offers microcontrollers, processors, wireless connectivity, and radar products; and applications processors for specific computing activity. This segment offers products for use in various markets, such as industrial, automotive, personal electronics, communications equipment, enterprise systems, calculators, and others. It provides DLP products primarily for use in project high-definition images; calculators; and application-specific integrated circuits. The company markets and sells its semiconductor products through direct sales and distributors, as well as through its website. Texas Instruments Incorporated was founded in 1930 and is headquartered in Dallas, Texas.

Rapid and accurate calculation of acid dissociation constant (pKa) is crucial for designing chemical synthesis routes, optimizing catalysts, and predicting chemical behavior. Despite recent progress in machine learning, predicting solvation acidity, especially in nonaqueous solvents, remains challenging due to limited experimental data. This challenge arises from treating experimental values in different solvents as distinct data domains and modeling them separately. In this work, we treat both the solutes and solvents equally from a perspective of molecular topology and propose a highly universal framework called AttenGpKa for predicting solvation acidity. AttenGpKa is trained using 26,522 experimental pKa values from 60 pure and mixed solvents in the iBonD database. As a result, our model can simultaneously predict the pKa values of a compound in various solvents, including pure water, pure nonaqueous, and mixed solvents. AttenGpKa achieves universality by using graph neural networks and attention mechanisms to learn complex effects within solute and solvent molecules. Furthermore, encodings of both solute and solvent molecules are adaptively fused to simulate the influence of the solvent on acid dissociation. AttenGpKa demonstrates robust generalization in extensive validations. The interpretability studies further indicate that our model has effectively learnt electronic and solvent effects. A free-to-use software is provided to facilitate the use of AttenGpKa for pKa prediction.