These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
3. Kinetic Monte Carlo modeling of oxide thin film growth. Purton JA; Elena AM; Teobaldi G J Chem Phys; 2022 Jun; 156(21):214705. PubMed ID: 35676130 [TBL] [Abstract][Full Text] [Related]
5. Proceedings of the Second Workshop on Theory meets Industry (Erwin-Schrödinger-Institute (ESI), Vienna, Austria, 12-14 June 2007). Hafner J J Phys Condens Matter; 2008 Feb; 20(6):060301. PubMed ID: 21693862 [TBL] [Abstract][Full Text] [Related]
6. Electricity energy dataset "BanE-16": Analysis of peak energy demand with environmental variables for machine learning forecasting. Salehin I; Noman SM; Hasan MM Data Brief; 2024 Feb; 52():109967. PubMed ID: 38235179 [TBL] [Abstract][Full Text] [Related]
8. Iterative multiscale and multi-physics computations for operando catalyst nanostructure elucidation and kinetic modeling. Rajan A; Pushkar AP; Dharmalingam BC; Varghese JJ iScience; 2023 Jul; 26(7):107029. PubMed ID: 37360694 [TBL] [Abstract][Full Text] [Related]
9. A data-guided approach for the evaluation of zeolites for hydrogen storage with the aid of molecular simulations. Manda T; Barasa GO; Louis H; Irfan A; Agumba JO; Lugasi SO; Pembere AMS J Mol Model; 2024 Jan; 30(2):43. PubMed ID: 38236500 [TBL] [Abstract][Full Text] [Related]
10. Multiscale Modeling of the Atomic Layer Deposition of HfO2 Thin Film Grown on Silicon: How to Deal with a Kinetic Monte Carlo Procedure. Dkhissi A; Estève A; Mastail C; Olivier S; Mazaleyrat G; Jeloaica L; Djafari Rouhani M J Chem Theory Comput; 2008 Nov; 4(11):1915-27. PubMed ID: 26620335 [TBL] [Abstract][Full Text] [Related]
11. Numerical study of structural and magnetic properties of thin films obliquely deposited on rippled substrates. Solovev PN; Izotov AV; Belyaev BA J Phys Condens Matter; 2021 Sep; 33(49):. PubMed ID: 34525461 [TBL] [Abstract][Full Text] [Related]
12. Computational Biomaterials: Computational Simulations for Biomedicine. Dai X; Chen Y Adv Mater; 2023 Feb; 35(7):e2204798. PubMed ID: 35916024 [TBL] [Abstract][Full Text] [Related]
13. 6G Networks and the AI Revolution-Exploring Technologies, Applications, and Emerging Challenges. Chataut R; Nankya M; Akl R Sensors (Basel); 2024 Mar; 24(6):. PubMed ID: 38544151 [TBL] [Abstract][Full Text] [Related]
15. Chromatin Compaction Multiscale Modeling: A Complex Synergy Between Theory, Simulation, and Experiment. Bendandi A; Dante S; Zia SR; Diaspro A; Rocchia W Front Mol Biosci; 2020; 7():15. PubMed ID: 32158765 [TBL] [Abstract][Full Text] [Related]
16. A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis. Xu X; Li J; Zhu Z; Zhao L; Wang H; Song C; Chen Y; Zhao Q; Yang J; Pei Y Bioengineering (Basel); 2024 Feb; 11(3):. PubMed ID: 38534493 [TBL] [Abstract][Full Text] [Related]
17. On the Microcrystal Structure of Sputtered Cu Films Deposited on Si(100) Surfaces: Experiment and Integrated Multiscale Simulation. Zhu G; Han M; Xiao B; Gan Z Molecules; 2023 Jun; 28(12):. PubMed ID: 37375341 [TBL] [Abstract][Full Text] [Related]
18. A survey of multiscale modeling: Foundations, historical milestones, current status, and future prospects. Radhakrishnan R AIChE J; 2021 Mar; 67(3):e17026. PubMed ID: 33790479 [TBL] [Abstract][Full Text] [Related]
19. Multi-fidelity information fusion with concatenated neural networks. Pawar S; San O; Vedula P; Rasheed A; Kvamsdal T Sci Rep; 2022 Apr; 12(1):5900. PubMed ID: 35393511 [TBL] [Abstract][Full Text] [Related]
20. Robust Machine Learning Framework for Modeling the Compressive Strength of SFRC: Database Compilation, Predictive Analysis, and Empirical Verification. Abbas YM; Khan MI Materials (Basel); 2023 Nov; 16(22):. PubMed ID: 38005107 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]