AI-enhanced computational chemistry
My review ‘AI in computational chemistry through the lens of a decade-long journey’ was published open access as an invited Feature Article in Chemical Communication. It gives a perspective on the progress of AI tools in computational chemistry through the …
AI-accelerated nonadiabatic dynamics reduces the cost of the ab initio simulations of nonlinear time-resolved spectra. We have developed a robust protocol and demonstrated its feasibility for calculating stimulated emission contributions in transient absorption pump–probe and 2D electronic spectra of pyrazine. …
Check out our tutorial on how to run TS geometry optimizations and also analysis (freq and IRC) with MLatom@XACS.We demonstrate on an example of the Diels–Alder reaction how to use fast GFN2-xTB and AIQM1 methods providing reasonable TS geometries and …
Transition state search and analysis with MLatom@XACS Read more »
Single-point calculations can be performed with various models and methods in MLatom including: For more details on the models in MLatom, please check an overview. Here we will illustrate how to calculate isomerization energy of sugar in ISOL24 with different types of methods …
Tutorial on single-point calculations with MLatom@XACS Read more »
Pavlo O. Dral, Fuchun Ge, Yi-Fan Hou, Peikun Zheng, Yuxinxin Chen, Mario Barbatti, Olexandr Isayev, Cheng Wang, Bao-Xin Xue, Max Pinheiro Jr, Yuming Su, Yiheng Dai, Yangtao Chen, Lina Zhang, Shuang Zhang, Arif Ullah, Quanhao Zhang, Yanchi Ou. MLatom 3: A …
MLatom 3 for AI-enhanced computational chemistry: JCTC paper and online tutorial Read more »
In this tutorial we show how to optimize molecular geometries with MLatom. Here, only the optimization of the minima is shown and the optimization of the transition states will be shown elsewhere (for now, please check out the manual). For the …
Tutorial on geometry optimizations with MLatom@XACS Read more »
Location: Xiamen University, China Duration: 2 years (with possible 1-year extension) Xiamen University is offering a fully-funded 2-year postdoctoral research position in the field of machine learning-based simulations of condensed matter. This opportunity is available within the research group of Prof. Pavlo …
The new MLatom 3 release comes with the versatile Python API. We are happy to announce the release of its documentation which is available at http://mlatom.com/docs.
We are happy to announce that on the occasion of its ten-year anniversary, we have released on September 12 a brand new MLatom 3 with tons of new features including more simulation options, Python API for user-customized workflows, and its …
MLatom 3: 10-year anniversary edition is released! Read more »
The second edition of the International Symposium on Machine Learning in Quantum Chemistry will be held in person in Uppsala from 29 Nov. to 1 Dec. 2023. More updates to follow on the Symposium website smlqc2023.com!