March 04, 2025 article Advancing Multiscale Molecular Modeling with Machine Learning-Derived Electrostatics Journal of Chemical Theory and Computation DOI: 10.1021/acs.jctc.4c01792 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 26 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 How exascale computing can shape drug design: A perspective from multiscale QM/MM molecular dynamics simulations and machine learning-aided enhanced sampling algorithms 2024 Current Opinion in Structural Biology review Computer Science Computational Drug Discovery Methods Open access 20 citations Expanding the boundaries of ligand–target modeling by exascale calculations 2021 Wiley Interdisciplinary Reviews Computational Molecular Science article Computer Science Computational Drug Discovery Methods Open access 19 citations 2 results