Check out the themed collection and our editorial on Insightful machine learning for physical chemistry in PCCP – it was a pleasure for me to guest edit it with Aurora Clark, Olexandr Isayev, and Isaac Tamblyn. Happy reading!
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!
Artificial Intelligence Chemistry – a new open-access journal – has launched a special issue Artificial intelligence in computational chemistry. Submissions to the special issue are open until July 31, 2023. Articles submitted to this issue will be published free of …
Special Issue on Artificial intelligence in computational chemistry Read more »
Peikun Zheng, the main developer of AIQM1 and contributor to many other methods and studies, successfully defended his PhD! We wish him all the best in his future! Peikun was my first PhD student, co-supervised with Prof. Wei Wu. Thus, …
Congratulations to Peikun, Wudi, Shuang, Yifan, and Yanchi with successful graduations! Read more »
Alkyne-embedding [11]cycloparaphenylene ([11]CPPs) was functionalized with electron-donating, -neutral, and -withdrawing aryl substituents to yield a series of nanolassos via click chemistry. We used our state-of-the-art, artificial intelligence-enhanced quantum mechanical method 1 (AIQM1) to thoroughly analyze the electronic and photophysical properties of these …
Large Cycloparaphenylene Nanolassos Characterized with AIQM1 Read more »
By Pavlo O. Dral and Arif Ullah (the views and opinions expressed in this article are those of the authors and do not necessarily reflect the official policy or position of the authors’ affiliated institutions) Preprints are available on Zenodo …
Call for urgent regulations on artificial intelligence Read more »
Recent giant AI experiments such as ChatGPT and GPT-4 are increasingly becoming disruptive and have the potential of bringing lots of harm. These alarming developments have led to a call to pause such experiments. I show my support for such …
It is time for drawing up conclusions for the year and here is my brief overview of our group’s third year. 2022 will come down in history as a tumultuous year with major global events which couldn’t not affect me …
We are happy to announce that our brand-new manual for MLatom@XACS is now online at http://mlatom.com/manual/. Our new manual is re-designed to make it much easier to find what you need. We also greatly updated it with additional information, useful tips, …
Mario Barbatti, his group and collaborators published an update on Newton-X – a popular open-source platform for surface hopping and nuclear ensembles. An update include extension of the Newton-X platform to supervised (with our MLatom platform) and unsupervised learning (with ulamdyn). The paper is also open access and appeared in the Journal of Chemical Theory and Computation.