The Latest Research in Computational and Machine Learning Techniques

Explore recent articles from Chemical Physics Reviews and more View in Browser SUBMIT AN ARTICLE MANAGE MY ALERTS ABOUT THE JOURNAL Chemical Physics Reviews Now Indexed in Web of Science Pioneering Research in Computational and Machine Learning Techniques Thanks to cutting-edge computational methods and machine learning techniques, predictions of material properties and chemical processes are being greatly improved. Chemical Physics Reviews is excited to publish this collection of articles in this innovative field. We look forward to receiving more submissions in this emerging topical area in our journal. Superior Author Experience We'll treat your manuscript like it's our own. SUBMIT AN ARTICLE > Machine learning on neutron and x-ray scattering and spectroscopies Zhantao Chen, Nina Andrejevic, Nathan C. Drucker, Thanh Nguyen, et al. READ MORE > The exact exchange–correlation potential in time-dependent density functional theory: Choreographing electrons with steps and peaks Davood Dar, Lionel Lacombe, Neepa T. Maitra READ MORE > Negative inductor effects in nonlinear two-dimensional systems: Oscillatory neurons and memristors Juan Bisquert READ MORE > Data-driven many-body potentials from density functional theory for aqueous phase chemistry Etienne Palos, Saswata Dasgupta, Eleftherios Lambros, Francesco Paesani READ MORE > Self-assembling peptide biomaterials: Insights from spontaneous and enhanced sampling molecular dynamics simulations Billy J. Williams-Noonan, Alexa Kamboukos, Nevena Todorova, Irene Yarovsky READ MORE > RELATED CONTENT FROM APPLIED PHYSICS REVIEWS, BIOPHYSICS REVIEWS AND             APL MACHINE LEARNING Deep learning in spatial transcriptomics: Learning from the next next-generation sequencing A. Ali Heydari, Suzanne S. Sindi ET-AL: Entropy-targeted active learning for bias mitigation in materials data Zhang Hengrui (张睿), Chen Wei (Wayne) (陈伟), James M. Rondinelli, Wei Chen Deep language models for interpretative and predictive materials science Yiwen Hu, Markus J. Buehler Laura Herz, Editor of Chemical Physics Reviews Shares What Makes a Good Review Article Share on your social channels Tell Us What You Think! Did you like this email? Yes > No >  Follow us on social media Copyright © 2023 AIP Publishing. All rights reserved. 1305 Walt Whitman Rd., Melville, NY 11747 You are receiving this email because you have opted-in to receive alerts from us. To guarantee delivery of this email please add journals@aip-info.org to your address book and safe senders list. If you no longer wish to receive emails from us then please unsubscribe or amend your settings.