Search Results - "Hachmann, Johannes"
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Advances of machine learning in molecular modeling and simulation
Published in Current opinion in chemical engineering (01-03-2019)“…[Display omitted] In this review, we highlight recent developments in the application of machine learning for molecular modeling and simulation. After giving a…”
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The Harvard Clean Energy Project: Large-Scale Computational Screening and Design of Organic Photovoltaics on the World Community Grid
Published in The journal of physical chemistry letters (01-09-2011)“…This Perspective introduces the Harvard Clean Energy Project (CEP), a theory-driven search for the next generation of organic solar cell materials. We give a…”
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Revisiting the polytopal rearrangements in penta-coordinate d7-metallocomplexes: modified Berry pseudorotation, octahedral switch, and butterfly isomerization
Published in Chemical science (Cambridge) (01-08-2017)“…This paper provides a first-principles theoretical investigation of the polytopal rearrangements and fluxional behavior of five-coordinate d7-transition metal…”
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The Harvard organic photovoltaic dataset
Published in Scientific data (27-09-2016)“…The Harvard Organic Photovoltaic Dataset (HOPV15) presented in this work is a collation of experimental photovoltaic data from the literature, and…”
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Accelerated Discovery of High-Refractive-Index Polyimides via First-Principles Molecular Modeling, Virtual High-Throughput Screening, and Data Mining
Published in Journal of physical chemistry. C (13-06-2019)“…We present a high-throughput computational study to identify novel polyimides (PIs) with exceptional refractive index (RI) values for use as optic or…”
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Roaming-like Mechanism for Dehydration of Diol Radicals
Published in The journal of physical chemistry. A, Molecules, spectroscopy, kinetics, environment, & general theory (27-12-2018)“…Diol radicals (DRs) are important intermediates in biocatalysis, atmospheric chemistry, and biomass combustion. They are particularly generated from photolysis…”
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Building and deploying a cyberinfrastructure for the data-driven design of chemical systems and the exploration of chemical space
Published in Molecular simulation (24-07-2018)“…The use of modern data science has recently emerged as a promising new path to tackling the complex challenges involved in the creation of next-generation…”
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ChemML: A machine learning and informatics program package for the analysis, mining, and modeling of chemical and materials data
Published in Wiley interdisciplinary reviews. Computational molecular science (01-07-2020)“…ChemML is an open machine learning (ML) and informatics program suite that is designed to support and advance the data‐driven research paradigm that is…”
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A deep neural network model for packing density predictions and its application in the study of 1.5 million organic molecules
Published in Chemical science (Cambridge) (28-09-2019)“…The process of developing new compounds and materials is increasingly driven by computational modeling and simulation, which allow us to characterize…”
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The Journal of Physical Chemistry A/B/C Virtual Special Issue on Machine Learning in Physical Chemistry
Published in The journal of physical chemistry. B (05-11-2020)Get full text
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Revisiting the polytopal rearrangements in penta-coordinate d 7 -metallocomplexes: modified Berry pseudorotation, octahedral switch, and butterfly isomerization
Published in Chemical science (Cambridge) (01-08-2017)“…This paper provides a first-principles theoretical investigation of the polytopal rearrangements and fluxional behavior of five-coordinate d -transition metal…”
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Revisiting the polytopal rearrangements in penta-coordinate d7-metallocomplexes: modified Berry pseudorotation, octahedral switch, and butterfly isomerizationElectronic supplementary information (ESI) available. See DOI: 10.1039/c7sc00703e
Published 24-07-2017“…This paper provides a first-principles theoretical investigation of the polytopal rearrangements and fluxional behavior of five-coordinate d 7 -transition…”
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The Journal of Physical Chemistry A/B/C Virtual Special Issue on Machine Learning in Physical Chemistry
Published in Journal of physical chemistry. C (05-11-2020)Get full text
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Revisiting the polytopal rearrangements in penta-coordinate d7-metallocomplexes: modified Berry pseudorotation, octahedral switch, and butterfly isomerization† †Electronic supplementary information (ESI) available. See DOI: 10.1039/c7sc00703e Click here for additional data file
Published in Chemical science (Cambridge) (02-06-2017)“…New rearrangement mechanism prototypes are introduced to account for the non-ideal coordination and fluxional behavior of five-coordinate metalo-complexes…”
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A deep neural network model for packing density predictions and its application in the study of 1.5 million organic molecules† †Electronic supplementary information (ESI) available: It provides the SMILES of the virtual compound library, SAscores of the 15 building blocks, and details of the computational and experimental data underlying the figures and tables throughout this paper and that were used in the statistical analysis. We also provide the list of descriptors used to develop the DNN mod
Published in Chemical science (Cambridge) (09-07-2019)“…Computational pipeline for the accelerated discovery of organic materials with high refractive index via high-throughput screening and machine learning. The…”
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Open Chemistry, JupyterLab, REST, and quantum chemistry
Published in International journal of quantum chemistry (17-09-2020)“…© 2020 The Authors. International Journal of Quantum Chemistry published by Wiley Periodicals LLC. Quantum chemistry must evolve if it wants to fully leverage…”
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Open Chemistry, JupyterLab, REST, and quantum chemistry
Published in International journal of quantum chemistry (05-01-2021)“…Quantum chemistry must evolve if it wants to fully leverage the benefits of the internet age, where the worldwide web offers a vast tapestry of tools that…”
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ChemML: A machine learning and informatics program package for the analysis, mining, and modeling of chemical and materials data
Published in Wiley interdisciplinary reviews. Computational molecular science (30-01-2020)“…ChemML is an open machine learning (ML) and informatics program suite that is designed to support and advance the data-driven research paradigm that is…”
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High-speed visualization of acoustically excited cavitation bubbles in a cluster near a rigid boundary
Published in Journal of visualization (01-05-2017)“…In the present work, high-speed visualizations at one million frames/s have been used to study the oscillation characteristics of acoustic cavitation bubbles…”
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