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Electrostatic Embedding Machine Learning for Ground and Excited State Molecular Dynamics of Solvated Molecules

Digital Discovery, 2024, Accepted ManuscriptDOI: 10.1039/D4DD00295D, Paper Open Access &nbsp This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. Patrizia Mazzeo, Edoardo Cignoni, Amanda Arcidiacono, Lorenzo Cupellini, Benedetta MennucciThe application of quantum mechanics (QM) / molecular mechanics (MM) models for studying dynamics

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Octave boxes inspired energy regularization triboelectric nanogenerator for high-efficient wave energy harvesting

Energy Environ. Sci., 2024, Accepted ManuscriptDOI: 10.1039/D4EE02969K, Paper Yuanchao Ren, ZiZhuo Wang, Jie Chen, Fei Wu, Hengyu GuoTriboelectric nanogenerators (TENGs) show great potential for wave energy harvesting. However, the low frequency and chaotic nature make it difficult for TENGs to generate stable electrical outputs, posing challenges

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hh130:-a-standardized-database-of-machine-learning-interatomic-potentials,-datasets,-and-its-applications-in-the-thermal-transport-of-half-heusler-thermoelectrics

HH130: A Standardized Database of Machine Learning Interatomic Potentials, Datasets, and Its Applications in the Thermal Transport of Half-Heusler Thermoelectrics

Digital Discovery, 2024, Accepted ManuscriptDOI: 10.1039/D4DD00240G, Paper Open Access &nbsp This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Yuyan Yang, Yifei Lin, Shengnan Dai, Yifan Zhu, Jinyang Xi, Lili Xi, Xiaokun Gu, David J. Singh, Wenqing Zhang, Jiong YangHigh-throughput screening of thermoelectric

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balancing-exploration-and-exploitation-in-de-novo-drug-design

Balancing Exploration and Exploitation in de-novo Drug Design

Digital Discovery, 2024, Accepted ManuscriptDOI: 10.1039/D4DD00105B, Paper Open Access &nbsp This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Maxime Langevin, Marc Bianciotto, Rodolphe VuilleumierGoal-directed molecular generation is the computational design of novel molecular structures optimised with respect to a given scoring function.

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