June 19, 2026 conference-paper Open access Physics-informed Graph Neural Networks to Predict Thermodynamically Consistent Activity Coefficients in Multicomponent Mixtures Systems and Control Transactions DOI: 10.69997/sct.155265 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 2 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Gibbs–Duhem-informed neural networks for binary activity coefficient prediction 2023 Digital Discovery article Engineering Phase Equilibria and Thermodynamics Open access 60 citations Thermodynamics-consistent graph neural networks 2024 Chemical Science article Engineering Phase Equilibria and Thermodynamics Open access 38 citations 2 results