Results 1 to 10 of about 4,406,611 (299)

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.
Alexandre Tkatchenko, Bingqing Cheng, John A Keith   +2 more
exaly   +4 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

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

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

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

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

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

Post-Hartree-Fock method in Quantum Chemistry for Quantum Computer [PDF]

Eur. Phys. J. Spec. Top. 230, 1037-1051 (2021), 2020
Quantum computational chemistry is a potential application of quantum computers that is expected to effectively solve several quantum-chemistry problems, particularly the electronic structure problem. Quantum computational chemistry can be compared to the conventional computational devices.
Nakanishi, Ken M., Ohnishi, Yu-ya, Shikano, Yutaka, Watanabe, Hiroshi C.   +3 more
arxiv   +3 more sources

Connecting Gas-Phase Computational Chemistry to Condensed Phase Kinetic Modeling: The State-of-the-Art. [PDF]

Polymers (Basel), 2021
In recent decades, quantum chemical calculations (QCC) have increased in accuracy, not only providing the ranking of chemical reactivities and energy barriers (e.g., for optimal selectivities) but also delivering more reliable equilibrium and (intrinsic ...
Edeleva M, Van Steenberge PHM, Sabbe MK, D'hooge DR.   +3 more
europepmc   +2 more sources

Editorial: Advances in Density Functional Theory and Beyond for Computational Chemistry. [PDF]

Front Chem, 2021
The rapid development of modern computational chemistry has led to a growing need to understand the microscopic mechanisms determining the properties of molecular and solid materials at an atomic level.
Hu W, Chen M.
europepmc   +2 more sources