Publications ------------ The main papers describing the code are: - Genovese, L., Neelov, A., Goedecker, S., Deutsch, T., Ghasemi, S. A., Willand, A., Caliste, D., et al. "Daubechies wavelets as a basis set for density functional pseudopotential calculations." J. Chem. Phys. 129 (1), 2008, 014109. - Ratcliff, L. E., Dawson, W., Fisicaro, G., Caliste, D., Mohr, S., Degomme, A., Videau, B., et al. "Flexibilities of wavelets as a computational basis set for large-scale electronic structure calculations." J. Chem. Phys. 152 (19), 2020, 194110. At the heart of BigDFT is its Poisson solver: - Genovese, L., Deutsch, T., Neelov, A., Goedecker, S., Beylkin, G. "Efficient solution of Poisson’s equation with free boundary conditions." J. Chem. Phys. 125 (7), 2006, 074105. - Genovese, L., Deutsch, T., Goedecker, S. "Efficient and accurate three-dimensional Poisson solver for surface problems." J. Chem. Phys. 127 (5), 2007, 054704. - Fisicaro, G., Genovese, L., Andreussi, O., Marzari, N., Goedecker, S. "A generalized Poisson and Poisson–Boltzmann solver for electrostatic environments." J. Chem. Phys. 144 (1), 2016, 014103. - Fisicaro, G., Genovese, L., Andreussi, O., Mandal, S., Nair, N. N., Marzari, N., Goedecker, S. "Soft-sphere continuum solvation in electronic-structure calculations." J. Chem. Theory Comput. 13 (8), 2017, 3829–3845. These papers describe important aspects of the code: - Mohr, S., Ratcliff, L. E., Boulanger, P., Genovese, L., Caliste, D., Deutsch, T., Goedecker, S., et al. "Daubechies wavelets for linear scaling density functional theory." J. Chem. Phys. 140 (20), 2014, 204110. - Mohr, S., Ratcliff, L. E., Genovese, L., Caliste, D., Boulanger, P., Goedecker, S., Deutsch, T., et al. "Accurate and efficient linear scaling DFT calculations with universal applicability." Phys. Chem. Chem. Phys. 17 (47), 2015, 31360–31370. - Genovese, L., Deutsch, T. "Multipole-preserving quadratures for the discretization of functions in real-space electronic structure calculations." Phys. Chem. Chem. Phys. 17 (47), 2015, 31582–31591. - Ratcliff, L. E., Grisanti, L., Genovese, L., Deutsch, T., Neumann, T., Danilov, D., Wenzel, W., et al. "Toward fast and accurate evaluation of charge on-site energies and transfer integrals in supramolecular architectures using linear constrained density functional theory (CDFT)-based methods." J. Chem. Theory Comput. 11 (5), 2015, 2077–2086. - Ratcliff, L. E., Genovese, L., Mohr, S., Deutsch, T. "Fragment approach to constrained density functional theory calculations using Daubechies wavelets." J. Chem. Phys. 142 (23), 2015, 234105. - Mohr, S., Dawson, W., Wagner, M., Caliste, D., Nakajima, T., Genovese, L. "Efficient computation of sparse matrix functions for large-scale electronic structure calculations: The CheSS library." J. Chem. Theory Comput. 13 (10), 2017, 4684–4698. - Dawson, W., Mohr, S., Ratcliff, L. E., Nakajima, T., Genovese, L. "Complexity reduction in density functional theory calculations of large systems: system partitioning and fragment embedding." J. Chem. Theory Comput. 16 (5), 2020, 2952–2964. - Stella, M., Thapa, K., Genovese, L., Ratcliff, L. E. "Transition-based constrained DFT for the robust and reliable treatment of excitations in supramolecular systems." J. Chem. Theory Comput. 18 (5), 2022, 3027–3038. - Dawson, W., Beal, L., Ratcliff, L. E., Stella, M., Nakajima, T., Genovese, L. "Exploratory data science on supercomputers for quantum mechanical calculations." Electronic Structure 6 (2), 2024, 027003. Papers related to GPU acceleration: - Genovese, L., Ospici, M., Deutsch, T., Méhaut, J.-F., Neelov, A., Goedecker, S. "Density functional theory calculation on many-cores hybrid central processing unit-graphic processing unit architectures." J. Chem. Phys. 131 (3), 2009, 034103. - Ratcliff, L. E., Degomme, A., Flores-Livas, J. A., Goedecker, S., Genovese, L. "Affordable and accurate large-scale hybrid-functional calculations on GPU-accelerated supercomputers." J. Phys.: Condens. Matter 30 (9), 2018, 095901. - Bauinger, C., Genovese, L. "Introducing SYCL to accelerate a Fock operator calculation library of the BigDFT electronic structure code." In Proc. Int. Conf. High Perform. Comput., 79–101 (2023). Some recent papers using BigDFT for scientific applications: - Zaccaria, M., Genovese, L., Lawhorn, B. E., Dawson, W., Joyal, A. S., Hu, J., Autissier, P., et al. "Predicting potential SARS-CoV-2 mutations of concern via full quantum mechanical modelling." J. R. Soc. Interface 21 (211), 2024, 20230614. - Zaccaria, M., Genovese, L., Dawson, W., Cristiglio, V., Nakajima, T., Johnson, W., Farzan, M., Momeni, B. "Probing the mutational landscape of the SARS-CoV-2 spike protein via quantum mechanical modeling of crystallographic structures." PNAS Nexus 1 (5), 2022, pgac180. Talks ===== You can find some conference and workshop slides about BigDFT on our `YouTube channel `_. There are also many slides describing the BigDFT approach in our `BigDFT school repo `_. Citing BigDFT ============= The most recent review article about BigDFT can be cited as:: @article{doi:10.1063/5.0004792, author = {Ratcliff,Laura E. and Dawson,William and Fisicaro,Giuseppe and Caliste,Damien and Mohr,Stephan and Degomme,Augustin and Videau,Brice and Cristiglio,Viviana and Stella,Martina and D’Alessandro,Marco and Goedecker,Stefan and Nakajima,Takahito and Deutsch,Thierry and Genovese,Luigi }, title = {Flexibilities of wavelets as a computational basis set for large-scale electronic structure calculations}, journal = {The Journal of Chemical Physics}, volume = {152}, number = {19}, pages = {194110}, year = {2020}, doi = {10.1063/5.0004792}, URL = {https://doi.org/10.1063/5.0004792}, eprint = {https://doi.org/10.1063/5.0004792} }