January 04, 2016 article An implementation of artificial neural-network potentials for atomistic materials simulations: Performance for TiO2 Computational Materials Science DOI: 10.1016/j.commatsci.2015.11.047 OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 511 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 Unveiling the interplay of electronic and phononic excitations in laser-induced oxygen activation on Ru(0001) 2025 The Journal of Chemical Physics article Physics and Astronomy Laser-Matter Interactions and Applications 2 citations An automated approach for developing neural network interatomic potentials with FLAME 2021 Computational Materials Science article Materials Science Machine Learning in Materials Science Open access 12 citations 2 results References 0