Cheng X, Wu C, Xu J, Han Y, Xie W, Hu P
Precis Chem. 2024; 2(11):570-586.
PMID: 39611023
PMC: 11600352.
DOI: 10.1021/prechem.4c00051.
Hosseinpoor S, Pourayoubi M, Zmeskalova E, Poupon M
RSC Adv. 2024; 14(44):32206-32220.
PMID: 39399254
PMC: 11467859.
DOI: 10.1039/d4ra05281a.
Schweicher G, Das S, Resel R, Geerts Y
Acta Crystallogr C Struct Chem. 2024; 80(Pt 10):601-611.
PMID: 39226426
PMC: 11451017.
DOI: 10.1107/S2053229624008283.
Giannessi F, Di Cataldo S, Saha S, Boeri L
Sci Data. 2024; 11(1):766.
PMID: 38997300
PMC: 11245481.
DOI: 10.1038/s41597-024-03447-1.
Mathew R, Mazumder A, Kumar P, Matula J, Mohamed S, Brazda P
Chem Sci. 2024; 15(2):490-499.
PMID: 38179523
PMC: 10762722.
DOI: 10.1039/d3sc05514k.
Hybrid classical/machine-learning force fields for the accurate description of molecular condensed-phase systems.
Thurlemann M, Riniker S
Chem Sci. 2023; 14(44):12661-12675.
PMID: 38020395
PMC: 10646964.
DOI: 10.1039/d3sc04317g.
Deep Learning-Based Prediction of Contact Maps and Crystal Structures of Inorganic Materials.
Hu J, Zhao Y, Li Q, Song Y, Dong R, Yang W
ACS Omega. 2023; 8(29):26170-26179.
PMID: 37521616
PMC: 10373470.
DOI: 10.1021/acsomega.3c02115.
Optimality guarantees for crystal structure prediction.
Gusev V, Adamson D, Deligkas A, Antypov D, Collins C, Krysta P
Nature. 2023; 619(7968):68-72.
PMID: 37407679
DOI: 10.1038/s41586-023-06071-y.
Structures of LaH, EuH, and UH superhydrides rationalized by electron counting and Jahn-Teller distortions in a covalent cluster model.
Morgan H, Alexandrova A
Chem Sci. 2023; 14(24):6679-6687.
PMID: 37350837
PMC: 10283509.
DOI: 10.1039/d3sc00900a.
Structure prediction in low dimensions: concepts, issues and examples.
Schon J
Philos Trans A Math Phys Eng Sci. 2023; 381(2250):20220246.
PMID: 37211034
PMC: 10200350.
DOI: 10.1098/rsta.2022.0246.
Quantitative matching of crystal structures to experimental powder diffractograms.
Mayo R, Marczenko K, Johnson E
Chem Sci. 2023; 14(18):4777-4785.
PMID: 37181772
PMC: 10171065.
DOI: 10.1039/d3sc00168g.
Experimental Confirmation of a Predicted Porous Hydrogen-Bonded Organic Framework.
Shields C, Wang X, Fellowes T, Clowes R, Chen L, Day G
Angew Chem Int Ed Engl. 2023; 62(34):e202303167.
PMID: 37021635
PMC: 10952618.
DOI: 10.1002/anie.202303167.
Inverse Design of Tetracene Polymorphs with Enhanced Singlet Fission Performance by Property-Based Genetic Algorithm Optimization.
Tom R, Gao S, Yang Y, Zhao K, Bier I, Buchanan E
Chem Mater. 2023; 35(3):1373-1386.
PMID: 36999121
PMC: 10042130.
DOI: 10.1021/acs.chemmater.2c03444.
Crystal structure prediction: achievements and opportunities.
Catlow C
IUCrJ. 2023; 10(Pt 2):143-144.
PMID: 36862486
PMC: 9980386.
DOI: 10.1107/S2052252523001835.
Modelling amorphous materials a joint solid-state NMR and X-ray absorption spectroscopy and DFT approach: application to alumina.
Harper A, Emge S, Magusin P, Grey C, Morris A
Chem Sci. 2023; 14(5):1155-1167.
PMID: 36756318
PMC: 9891381.
DOI: 10.1039/d2sc04035b.
Theoretical search of crystal polymorphs of temozolomide.
Arputharaj D, Rajasekaran M, Jelsch C, Kandasamy S, Al-Sehemi A
Heliyon. 2022; 8(6):e09608.
PMID: 35706947
PMC: 9189895.
DOI: 10.1016/j.heliyon.2022.e09608.
Machine learning potential era of zeolite simulation.
Ma S, Liu Z
Chem Sci. 2022; 13(18):5055-5068.
PMID: 35655579
PMC: 9093109.
DOI: 10.1039/d2sc01225a.
Formula Graph Self-Attention Network for Representation-Domain Independent Materials Discovery.
Ihalage A, Hao Y
Adv Sci (Weinh). 2022; 9(18):e2200164.
PMID: 35475548
PMC: 9218748.
DOI: 10.1002/advs.202200164.
Ammonia dimer: extremely fluxional but still hydrogen bonded.
Jing A, Szalewicz K, Avoird A
Nat Commun. 2022; 13(1):1470.
PMID: 35304448
PMC: 8933541.
DOI: 10.1038/s41467-022-28862-z.
Highly accurate machine learning prediction of crystal point groups for ternary materials from chemical formula.
Alsaui A, AlQahtani S, Mumtaz F, Ibrahim A, Mohammed A, Muqaibel A
Sci Rep. 2022; 12(1):1577.
PMID: 35091656
PMC: 8799685.
DOI: 10.1038/s41598-022-05642-9.