DIGITAL REFERENCES & SOLUTIONS IN AI / MACHINE LEARNING
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Artificial Intelligence / Machine Learning
with ACS Publications
ACS Publications provides the most trusted resources in Machine Learning, including digital books, references, and reputable journals for chemists, materials scientists, and engineers to stay at their field's forefront. Discover the latest advancements and unlock new possibilities in Machine Learning with ACS Publications. Browse the listing below for more information.
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ACS SYMPOSIUM SERIES
Machine Learning in Chemistry: Data-Driven Algorithms, Learning Systems, and Predictions
ACS SYMPOSIUM SERIES
Machine Learning in Materials Informatics: Methods and Applications
ACS SYMPOSIUM SERIES
Age of MXenes, Volume 1. Fundamentals and Artificial Intelligence: Machine Learning Interventions
TEXT & DATA MINING
Harness the Power of Big Data and Analytics
Text & Data Mining (TDM) employs artificial intelligence, machine learning, and complex algorithms to perform sophisticated analyses on large amounts of data. ACS’s vast volumes of published research are a perfect source for TDM efforts.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
ChatGPT Chemistry Assistant for Text Mining and the Prediction of MOF Synthesis
Zhiling Zheng, Oufan Zhang, Christian Borgs, Jennifer T. Chayes, and Omar M. Yaghi*
ACS APPLIED MATERIALS & INTERFACES
Enhancing Protein Crystal Nucleation Using In Situ Templating on Bioconjugate-Functionalized Nanoparticles and Machine Learning
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
Scientific Machine Learning of 2D Perovskite Nanosheet Formation
Jakob C. Dahl, Samuel Niblett, Yeongsu Cho, Xingzhi Wang, Ye Zhang, Emory M. Chan, and A. Paul Alivisatos*
ACS CENTRAL SCIENCE
Enhancing Protein Crystal Nucleation Using In Situ Templating on Bioconjugate-Functionalized Nanoparticles and Machine Learning
ENVIRONMENTAL SCIENCE & TECHNOLOGY
ChatGPT and Environmental Research
JOURNAL OF CHEMICAL INFORMATION AND MODELING
Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry
JOURNAL OF CHEMICAL INFORMATION AND MODELING
Characterizing Uncertainty in Machine Learning for Chemistry
JOURNAL OF CHEMICAL THEORY AND COMPUTATION
Lifelong Machine Learning Potentials
ChatGPT Lends a Hand in the Chemistry Lab
One way or the other, AI tools such as ChatGPT are determined to revolutionize our lives. But how close are we to an AI-powered assistant in the chemistry lab?
AI in Research and Peer Review: Facing the Future with Integrity
As the integration of artificial intelligence (AI) in manuscript preparation and review processes becomes more prevalent, it's imperative to reflect on both its transformative potential and the ethical obligations it brings.
AI in Publishing: The Ghost Writer in the Machine
AI-driven tools such as ChatGPT are disrupting many fields and could fundamentally alter the scientific publishing landscape—but how do we address these machines who are attempting to rewrite the rules?
ChatGPT in Research and Education: Continuing the Conversation
As the integration of artificial intelligence (AI) in manuscript preparation and review processes becomes more prevalent, it's imperative to reflect on both its transformative potential and the ethical obligations it brings.
ENABLING NEXT-GENERATION RESEARCH
Power your research with the best science
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