Results 1 to 10 of about 4,137,092 (209)

Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems [PDF]

Chemical Reviews, 2021
Machine learning models are poised to make a transformative impact on chemical sciences by dramatically accelerating computational algorithms and amplifying insights available from computational chemistry methods.
John A Keith, Valentin Vassilev-Galindo, Bingqing Cheng   +2 more
exaly   +4 more sources

Computational Chemistry [PDF]

Journal on Applied and Chemical Physics
Computational chemistry serves as a powerful tool for analyzing catalytic systems and molecular properties without the need for extensive laboratory experimentation. Leveraging modern electronic structure theory and density functional theory (DFT), researchers can model catalysts, predict activation energies, evaluate site reactivity, and calculate ...
Arnold, J. O.
core   +4 more sources

The OpenMolcas Web: A Community-Driven Approach to Advancing Computational Chemistry. [PDF]

J Chem Theory Comput, 2023
The developments of the open-source OpenMolcas chemistry software environment since spring 2020 are described, with a focus on novel functionalities accessible in the stable branch of the package or via interfaces with other packages.
Li Manni G, Fdez Galván I, Alavi A, Aleotti F, Aquilante F, Autschbach J, Avagliano D, Baiardi A, Bao JJ, Battaglia S, Birnoschi L, Blanco-González A, Bokarev SI, Broer R, Cacciari R, Calio PB, Carlson RK, Carvalho Couto R, Cerdán L, Chibotaru LF, Chilton NF, Church JR, Conti I, Coriani S, Cuéllar-Zuquin J, Daoud RE, Dattani N, Decleva P, de Graaf C, Delcey MG, De Vico L, Dobrautz W, Dong SS, Feng R, Ferré N, Filatov Gulak M, Gagliardi L, Garavelli M, González L, Guan Y, Guo M, Hennefarth MR, Hermes MR, Hoyer CE, Huix-Rotllant M, Jaiswal VK, Kaiser A, Kaliakin DS, Khamesian M, King DS, Kochetov V, Krośnicki M, Kumaar AA, Larsson ED, Lehtola S, Lepetit MB, Lischka H, López Ríos P, Lundberg M, Ma D, Mai S, Marquetand P, Merritt ICD, Montorsi F, Mörchen M, Nenov A, Nguyen VHA, Nishimoto Y, Oakley MS, Olivucci M, Oppel M, Padula D, Pandharkar R, Phung QM, Plasser F, Raggi G, Rebolini E, Reiher M, Rivalta I, Roca-Sanjuán D, Romig T, Safari AA, Sánchez-Mansilla A, Sand AM, Schapiro I, Scott TR, Segarra-Martí J, Segatta F, Sergentu DC, Sharma P, Shepard R, Shu Y, Staab JK, Straatsma TP, Sørensen LK, Tenorio BNC, Truhlar DG, Ungur L, Vacher M, Veryazov V, Voß TA, Weser O, Wu D, Yang X, Yarkony D, Zhou C, Zobel JP, Lindh R.   +107 more
europepmc   +2 more sources

A Perspective on Sustainable Computational Chemistry Software Development and Integration. [PDF]

J Chem Theory Comput, 2023
The power of quantum chemistry to predict the ground and excited state properties of complex chemical systems has driven the development of computational quantum chemistry software, integrating advances in theory, applied mathematics, and computer ...
Di Felice R, Mayes ML, Richard RM, Williams-Young DB, Chan GK, de Jong WA, Govind N, Head-Gordon M, Hermes MR, Kowalski K, Li X, Lischka H, Mueller KT, Mutlu E, Niklasson AMN, Pederson MR, Peng B, Shepard R, Valeev EF, van Schilfgaarde M, Vlaisavljevich B, Windus TL, Xantheas SS, Zhang X, Zimmerman PM.   +24 more
europepmc   +2 more sources

Open-Source Machine Learning in Computational Chemistry. [PDF]

J Chem Inf Model, 2023
The field of computational chemistry has seen a significant increase in the integration of machine learning concepts and algorithms. In this Perspective, we surveyed 179 open-source software projects, with corresponding peer-reviewed papers published ...
Hagg A, Kirschner KN.
europepmc   +2 more sources

MLatom 3: A Platform for Machine Learning-Enhanced Computational Chemistry Simulations and Workflows. [PDF]

J Chem Theory Comput, 2023
Machine learning (ML) is increasingly becoming a common tool in computational chemistry. At the same time, the rapid development of ML methods requires a flexible software framework for designing custom workflows.
Dral PO, Ge F, Hou YF, Zheng P, Chen Y, Barbatti M, Isayev O, Wang C, Xue BX, Pinheiro M, Su Y, Dai Y, Chen Y, Zhang L, Zhang S, Ullah A, Zhang Q, Ou Y.   +17 more
europepmc   +3 more sources

Best-Practice DFT Protocols for Basic Molecular Computational Chemistry. [PDF]

Angew Chem Int Ed Engl, 2022
Nowadays, many chemical investigations are supported by routine calculations of molecular structures, reaction energies, barrier heights, and spectroscopic properties.
Bursch M, Mewes JM, Hansen A, Grimme S.
europepmc   +2 more sources

Deepmol: an automated machine and deep learning framework for computational chemistry. [PDF]

J Cheminform
The domain of computational chemistry has experienced a significant evolution due to the introduction of Machine Learning (ML) technologies. Despite its potential to revolutionize the field, researchers are often encumbered by obstacles, such as the ...
Correia J, Capela J, Rocha M.
europepmc   +2 more sources

Computational Chemistry Strategies to Investigate the Antioxidant Activity of Flavonoids-An Overview. [PDF]

Molecules
Despite several decades of research, the beneficial effect of flavonoids on health is still enigmatic. Here, we focus on the antioxidant effect of flavonoids, which is elementary to their biological activity.
Wang Y, Li C, Li Z, Moalin M, Hartog GJMD, Zhang M.   +5 more
europepmc   +2 more sources

Computational pharmacology and computational chemistry of 4-hydroxyisoleucine: Physicochemical, pharmacokinetic, and DFT-based approaches. [PDF]

Front Chem, 2023
Computational pharmacology and chemistry of drug-like properties along with pharmacokinetic studies have made it more amenable to decide or predict a potential drug candidate.
Ahmad I, Kuznetsov AE, Pirzada AS, Alsharif KF, Daglia M, Khan H.   +5 more
europepmc   +2 more sources