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March 2015 |
Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach
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August 2016 |
Efficient Computational Screening of Organic Polymer Photovoltaics
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April 2013 |
Computational Approach to Molecular Catalysis by 3d Transition Metals: Challenges and Opportunities
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October 2018 |
Automated in Silico Design of Homogeneous Catalysts
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January 2020 |
The high-throughput highway to computational materials design
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February 2013 |
Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis
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February 2013 |
The Catalyst Genome
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December 2012 |
Combinatorial screening for new materials in unconstrained composition space with machine learning
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March 2014 |
Quantum Chemistry in the Age of Machine Learning
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March 2020 |
Navigating Transition-Metal Chemical Space: Artificial Intelligence for First-Principles Design
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January 2021 |
Machine learning for molecular and materials science
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July 2018 |
Machine learning: Accelerating materials development for energy storage and conversion
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February 2020 |
Data-Driven Strategies for Accelerated Materials Design
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February 2021 |
Introduction: Machine Learning at the Atomic Scale
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August 2021 |
Computational Discovery of Transition-metal Complexes: From High-throughput Screening to Machine Learning
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July 2021 |
Machine learning in catalysis
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April 2018 |
Machine Learning Accelerates the Discovery of Design Rules and Exceptions in Stable Metal–Oxo Intermediate Formation
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July 2019 |
Data-Driven Advancement of Homogeneous Nickel Catalyst Activity for Aryl Ether Cleavage
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May 2020 |
ChemSpaX: exploration of chemical space by automated functionalization of molecular scaffold
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January 2022 |
Unraveling the energetic significance of chemical events in enzyme catalysis via machine-learning based regression approach
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October 2020 |
A Comprehensive Discovery Platform for Organophosphorus Ligands for Catalysis
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January 2022 |
Active learning across intermetallics to guide discovery of electrocatalysts for CO2 reduction and H2 evolution
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September 2018 |
To address surface reaction network complexity using scaling relations machine learning and DFT calculations
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March 2017 |
Catalytic descriptors and electronic properties of single-site catalysts for ethene dimerization to 1-butene
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August 2018 |
Accelerated Computational Analysis of Metal–Organic Frameworks for Oxidation Catalysis
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August 2016 |
Structure–Activity Relationships That Identify Metal–Organic Framework Catalysts for Methane Activation
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March 2019 |
Machine learning meets volcano plots: computational discovery of cross-coupling catalysts
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January 2018 |
Perspective on computational reaction prediction using machine learning methods in heterogeneous catalysis
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January 2021 |
Accelerated discovery of CO2 electrocatalysts using active machine learning
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May 2020 |
Machine Learning in Catalysis, From Proposal to Practicing
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December 2019 |
Active Learning Accelerated Discovery of Stable Iridium Oxide Polymorphs for the Oxygen Evolution Reaction
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June 2020 |
Accurate Multiobjective Design in a Space of Millions of Transition Metal Complexes with Neural-Network-Driven Efficient Global Optimization
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March 2020 |
New Strategies for Direct Methane-to-Methanol Conversion from Active Learning Exploration of 16 Million Catalysts
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April 2022 |
Ensemble-Average Representation of Pt Clusters in Conditions of Catalysis Accessed through GPU Accelerated Deep Neural Network Fitting Global Optimization
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November 2016 |
Active site electronic structure and dynamics during metalloenzyme catalysis
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January 2003 |
Mechanistic Complexity of Methane Oxidation with H 2 O 2 by Single-Site Fe/ZSM-5 Catalyst
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July 2018 |
Quantum Chemical Characterization of Structural Single Fe(II) Sites in MIL-Type Metal–Organic Frameworks for the Oxidation of Methane to Methanol and Ethane to Ethanol
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January 2019 |
Error-Controlled Exploration of Chemical Reaction Networks with Gaussian Processes
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August 2018 |
Autonomous Reaction Network Exploration in Homogeneous and Heterogeneous Catalysis
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January 2022 |
Expansive Quantum Mechanical Exploration of Chemical Reaction Paths
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December 2021 |
AARON: An Automated Reaction Optimizer for New Catalysts
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August 2018 |
SEQCROW : A ChimeraX bundle to facilitate quantum chemical applications to complex molecular systems
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June 2021 |
Molecular Propensity as a Driver for Explorative Reactivity Studies
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August 2016 |
Accelerating the structure search of catalysts with machine learning
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March 2022 |
Asymmetric hydrogen transfer reactions promoted by homogeneous transition metal catalysts
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July 1992 |
Computational Ligand Descriptors for Catalyst Design
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October 2018 |
Homogeneous and heterogeneous catalysis in industry
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January 2012 |
Novel Hydroformylation catalysts
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August 1968 |
The Development of L 2 X 2 RuCHR Olefin Metathesis Catalysts: An Organometallic Success Story
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January 2001 |
The merger of transition metal and photocatalysis
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July 2017 |
Transition metal complexes as electrocatalysts—Development and applications in electro-oxidation reactions
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September 2007 |
Exchange-enhanced reactivity in bond activation by metal–oxo enzymes and synthetic reagents
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December 2010 |
Learning from Failure: Predicting Electronic Structure Calculation Outcomes with Machine Learning Models
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March 2019 |
Strategies and Software for Machine Learning Accelerated Discovery in Transition Metal Chemistry
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September 2018 |
Machine learning the computational cost of quantum chemistry
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March 2020 |
Forecasting System of Computational Time of DFT/TDDFT Calculations under the Multiverse Ansatz via Machine Learning and Cheminformatics
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January 2021 |
Rational Density Functional Selection Using Game Theory
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December 2017 |
Resolving Transition Metal Chemical Space: Feature Selection for Machine Learning and Structure–Property Relationships
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November 2017 |
Putting Density Functional Theory to the Test in Machine-Learning-Accelerated Materials Discovery
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May 2021 |
Learning molecular dynamics with simple language model built upon long short-term memory neural network
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October 2020 |
Machine learning approaches for analyzing and enhancing molecular dynamics simulations
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April 2020 |
Predicting disruptive instabilities in controlled fusion plasmas through deep learning
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April 2019 |
Magnetic control of tokamak plasmas through deep reinforcement learning
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February 2022 |
TeraChem : A graphical processing unit ‐accelerated electronic structure package for large‐scale ab initio molecular dynamics
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July 2020 |
Density‐functional thermochemistry. III. The role of exact exchange
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April 1993 |
Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density
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January 1988 |
Ab Initio Calculation of Vibrational Absorption and Circular Dichroism Spectra Using Density Functional Force Fields
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November 1994 |
A consistent and accurate ab initio parametrization of density functional dispersion correction (DFT-D) for the 94 elements H-Pu
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April 2010 |
A density-functional model of the dispersion interaction
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October 2005 |
Ab initio effective core potentials for molecular calculations. Potentials for main group elements Na to Bi
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January 1985 |
Ab initio effective core potentials for molecular calculations. Potentials for the transition metal atoms Sc to Hg
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January 1985 |
6-31G * basis set for atoms K through Zn
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July 1998 |
Why Conventional Design Rules for C–H Activation Fail for Open-Shell Transition-Metal Catalysts
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December 2020 |
A ?Level-Shifting? method for converging closed shell Hartree-Fock wave functions
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July 1973 |
Geometry optimization made simple with translation and rotation coordinates
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June 2016 |
molSimplify: A toolkit for automating discovery in inorganic chemistry
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July 2016 |
Aliphatic hydroxylation via oxygen rebound. Oxygen transfer catalyzed by iron
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February 1976 |
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October 2011 |
Pybel: a Python wrapper for the OpenBabel cheminformatics toolkit
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March 2008 |
Beyond Oil and Gas: The Methanol Economy
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April 2005 |
Catalytic conversion of methane to more useful chemicals and fuels: a challenge for the 21st century
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December 2000 |
Methane-to-Methanol Conversion by First-Row Transition-Metal Oxide Ions: ScO + , TiO + , VO + , CrO + , MnO + , FeO + , CoO + , NiO + , and CuO +
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November 2000 |
Beyond ferryl-mediated hydroxylation: 40 years of the rebound mechanism and C–H activation
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December 2016 |
UMAP: Uniform Manifold Approximation and Projection
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September 2018 |
High-valent metal-oxo complexes generated in catalytic oxidation reactions using water as an oxygen source
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February 2017 |
Enhanced Reactivities of Iron(IV)-Oxo Porphyrin π-Cation Radicals in Oxygenation Reactions by Electron-Donating Axial Ligands
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October 2009 |