background-image: url(IMG_8674_3_b.png) background-position: center, middle background-size: cover class: bottom, left, inverse <img src="thinks_w.png" width="20%"/> # Free open-source thermokinetic software <style type="text/css"> .hide-count .remark-slide-number { display: none; } </style> --- class: top, left ​ ​ - ##THINKS comprises the modern approaches to thermal and kinetiс analysis -- - ##It is available as a set of applications that can be run online or locally -- - ##THINKS is open and free (under GNU GPLv3) -- - ##To follow updates, load original code and feedback visit the [project page](https://www.researchgate.net/project/THINKS) --- class: top, center #The general workflow is as follows ​ <img src="scheme.jpg" width="100%"/> --- class: middle, center <iframe width="889" height="500" src="https://www.youtube.com/embed/W7qN0EoMYi0" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> --- class: top, left #Some examples of application <br> <a href="https://doi.org/10.3390/molecules24122298"><img src="appraisal.png" width="33%"/></a> <a href="https://doi.org/10.1016/j.combustflame.2018.01.011"><img src="nanoti.png" width="33%"/></a> <a href="https://pubs.acs.org/doi/10.1021/acs.energyfuels.7b00895"><img src="waxes.png" width="32%"/></a> <br><br> <a href="https://doi.org/10.1039/C8CP05619F"><img src="tnaa.png" width="33%"/></a> <a href="https://doi.org/10.1039/C6CP08218A"><img src="adn.png" width="33%"/></a> <a href="https://doi.org/10.1039/C6CP06498A"><img src="tkx50.png" width="32%"/></a> --- class: top, left #Acknowledgements<br><br> ###Funding by Russian Foundation for Basic Research <img src="2.jpg" width="8%" style="vertical-align:middle"/> is acknowledged (grant #16-33-60162). I would like to thank <img src="m_3.jpg" width="8%" style="border-radius: 50%; vertical-align:middle"/>&<img src="a_2.jpg" width="8%" style="border-radius: 50%; vertical-align:middle"/> for support, <img src="a5_.jpg" width="8%" style="border-radius: 50%; vertical-align:middle"/> motivating and directing me, <img src="k_.jpg" width="8%" style="border-radius: 50%; vertical-align:middle"/> for continuous help and expertise, <img src="v_.jpg" width="8%" style="border-radius: 50%; vertical-align:middle"/> advised to use R and much more, <img src="Anatoly_Bragin2_.png" width="8%" style="border-radius: 50%; vertical-align:middle"/> made background photo, <img src="ф6_.jpg" width="8%" style="border-radius: 50%; vertical-align:middle"/> designed nice logo, and Professor <img src="k2_.png" width="8%" style="border-radius: 50%; vertical-align:middle"/> strongly stimulated my research. --- #Credits (code)<br> - Credits (code)R Core Team, R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, 2019. https://www.R-project.org/. RStudio Team, RStudio: Integrated Development Environment for R, RStudio, PBC., Boston, MA, 2020. http://www.rstudio.com/. - W. Chang, J. Cheng, J.J. Allaire, Y. Xie, J. McPherson, shiny: Web Application Framework for R, 2019. https://CRAN.R-project.org/package=shiny. - T.V. Elzhov, K.M. Mullen, A.-N. Spiess, B. Bolker, minpack.lm: R Interface to the Levenberg-Marquardt Nonlinear Least-Squares Algorithm Found in MINPACK, Plus Support for Bounds, 2016. https://CRAN.R-project.org/package=minpack.lm. - J.C. Nash, nlmrt: Functions for Nonlinear Least Squares Solutions, 2016. https://CRAN.R-project.org/package=nlmrt. - K. Soetaert, T. Petzoldt, R.W. Setzer, Solving Differential Equations in R: Package deSolve, J. Stat. Softw. 33 (2010) 1–25. https://doi.org/10.18637/jss.v033.i09. - D. Attali, shinyjs: Easily Improve the User Experience of Your Shiny Apps in Seconds, 2020. https://CRAN.R-project.org/package=shinyjs. - S. Berretta, G. Luciano, K.H. Liland, takos: Analysis of Differential Calorimetry Scans, 2018. https://CRAN.R-project.org/package=takos. --- background-image: url("thinks.png") background-size: 20% background-position: 90% 82% class: top, left #To start click the application: ##[Purity analysis by DSC](http://chemphys.space/shiny/Purity/) ##[Import data, create kinetic project](http://chemphys.space/shiny/Import/) ##[Isoconversional analysis](http://chemphys.space/shiny/Isoconversional/) ##[Model-fitting, linear regression](http://chemphys.space/shiny/Model_Linear/) ##[Model-fitting, nonlinear regression](http://chemphys.space/shiny/Model_Nonlinear/) ##[Kinetic prediction](http://chemphys.space/shiny/Prediction/) --- background-image: url("thinks.png") background-size: 20% background-position: 90% 82% class: bottom, left, hide-count ##Dr. Nikita V. Muravyev<br>[thinks@chemphys.space](mailto:thinks@chemphys.space)<br>2016-2022<br>​