August 27, 2021 - Webinar
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Machine-Learned Energy Functionals for Strongly Correlated Systems
Application of MC-PDFT to Molecular Magnetism Calculations
Polymer/silicalite-1 mixed matrix membranes
STONED, SELFIES, and other topics
Molecular simulations to probe gas separations using zeolite MFI
Solubility of Carbon Dioxide in Pentaerythritol Tetrapentanoate: Insight from Molecular Modeling
Direct Photochemical Dynamics with Semiempirical Orthogonalization Models
Cu[Ni(2,3-pyrazinedithiolate)2] Metal-Organic Framework for Electrocatalytic Hydrogen Evolution
Active Learning Configuration Interaction Protocol to Accelerate Excitation Energy Calculations for Organic Molecules
A Machine Learning Potential Model for Nitric Oxide Formation
Absolutely Localized Open-shell WF-in-DFT Huzinaga Embedding
Adsorption and diffusion of solvents in IRMOFs
Interpretable Learning of Complex Multicomponent Adsorption Equilibria from Self-attention
Genetic Algorithm Implementation for Finding Top-performing Metal-Organic Frameworks
A Skew Dividing Surface for Accurate Nonadiabatic Mean-Field Ring Polymer Rates
How well can various density functional approximations predict van der Waals interactions in very large systems?
Active Learning Configuration Interaction to Accelerate Excitation Energy Calculations for Organic Molecules
Solvent effects in glucose transformation reactions and solvent adsorption in UiO-66
Hydrogen Oxidation on Platinum
Adsorption and diffusion of solvents in IRMOFs
Predicting separation of near-azeotropic mixtures by a machine learning model
Evaluating Adsorption Space for Polymers of Intrinsic Microporosity with Diverse Adsorbate Species
A 3D Convolutional Neural Network based Variational Autoencoder for Gas Storage Prediction of Zeolites
Controlling Electronic Structure in Metal–Triazolate Frameworks
Identifying the temperature of maximum deliverable capacity for hydrogen storage in nanoporous materials
Development of MC-PDFT for Calculating the Magnetic g Tensor
Hydrogen Evolving Activity of a Dithiolene-Based Metal-Organic Framework
High-throughput Screening of CoRE-MOFs for CO2 Adsorption from Wet Flue Gas Using Machine Learning Derived Atomic Charges
Machine learning for adsorption in all-silica zeolites
Monte Carlo simulations for solvent adsorption in MOFs
Computational investigation on reaction mechanism of M-MFU-4L catalyzed stereoselective 1,3-butadiene polymerization
Itinerant ferromagnetism in a mixed-valent metal-organic framework: An electronic structure perspective
Localized active space pair density functional theory : spin state calculations for correlated molecules
Path Integrals for Atomistic Simulations
Huzinaga Molecular Embedding: Open Shell and Excited State Results
Reduction of Cu(II) to Cu(0) by residual formate on supported Metal-Organic Framework (MOF) NU-1000
Density matrix embedding theory for solid-state materials
My escape from the lab: scientific publishing
Machine learning using the guest/host energy histogram to predict alkane adsorption and xenon/krypton separation
Automated Reticular Framework Discovery Platform empowered by Supramolecular Variational Autoencoder
Itinerant ferromagnetism in a mixed-valent metal-organic framework: A DFT Perspective
Metal sulfur clusters deposited on NU-1000 Zr node: mono and di-nickel species featuring phenyl-thiolates with various substituents for hydrogen evolution reactions
Tuning the Electrical Conductivity of a Hexa-Zr(IV) Metal-Organic Frameworks
Boosting Photoelectric Conductivity in PCN-222 Metal–Organic Framework Incorporating Electron Deficient Guest Molecule
Itinerant Ferromagnetism in a Metal-Organic Framework
PIM-1 Performance as a Membrane for Binary Mixture Separation of Gaseous Organic Compounds
Computational Study of the Electronic Structure and Conductivity in 2D Metal-Semiquinoid Frameworks of Fe, Ti, V and Cr
Partial molar properties from molecular simulation using multiple linear regression & Fitting adsorption isotherms using symbolic regression
Computational Study of the Electronic Structure and Conductivity in 2D Metal-Semiquinoid Frameworks of Fe, Ti, V and Cr
Encapsulation of rare-earth based single-molecule magnets in Metal-Organic Frameworks: A Magneto-Chemical Analysis
Improving and Understanding the Hydrogen Evolving Activity of a Cobalt Dithiolene Metal-Organic Framework
Prediction of Adsorption in Hyper-Cross-Linked Polymers
Absolutely Localized Multi-reference Wave Function Embedding
Solvent Effects on the Photocatalytic Properties of MOFs
Two-step Machine Learning Model for Automatic Active Space Selection in Multiconfigurational Self Consistent Field Methods on Bond Dissociation Energy Calculations
Computational material design for nanoporous materials: pore shape similarity and mechanical stability
Nuclear Quantum Effects in Molecular Adsorption Through Zeolites
Nuclear Quantum Effects in Molecular Adsorption Through Zeolites
C60 incorporated Porphyrin MOFs for Optoelectronic Applications
Fingerprinting the Hydrogen Storage of All-silica Zeolites for Fuel Cell Vehicles
Advances in high-throughput screening and design of MOFs using machine learning
Automated MOF discovery platform for clean energy applications
Photogenerated Charge Separation in a Nanocluster–MOF Composite for Photocatalysis
Investigating magnetic triazolate-based MOFs
Determination of hydrogen evolution mechanisms in cobalt dithiolene metal organic frameworks using DFT
Gold nanoparticles confined MOFs (NU-1000/NU-901) for O2 activation
DFT Studies of the Redox Mediator-Assisted Electrocatalytic Hydrogen Evolution from Water by a Molybdenum Sulfide-Functionalized Metal–Organic Framework
Monte Carlo simulations and machine learning for multicomponent adsorption: Loading of BTEX mixtures on a zeolite nanosheet
CO adsorption in metal-organic frameworks
Electrochemical Behavior and Cathode Performance of Iron-Semiquinoid Frameworks
A porous, electrically conductive hexa-zirconium(IV) metal–organic framework
Theoretical Insights into the Influence of Solvents on Glucose-to-Fructose Isomerization over Modified UiO-66(Zr)
Assessment of Options for Determining the Total Adsorption Uptake from Liquid Solution: Alkane-α,ω-Diols/(Water or Ethanol) onto Silicalite-1
Cerium Metal-Organic Frameworks for Photocatalysis
Benchmarking progress toward self-interaction-free density functional theory with the FLO-SIC method
Machine learning for quantum electron correlation in a quantum embedding framework
Determination of hydrogen evolution mechanisms in cobalt dithiolene metal organic frameworks usingDensity Functional Theory
Electrochemical CO2 Reduction using Metal Organic Framework (MOF)
Insights Into Gas Storage and Separation in MOFs Using DFT and Molecular Simulations
Equilibrium Theory for Adsorption: Implications for Ranking Nanoporous Materials
Toward Visible Light Response: Overall Water Splitting Using Cerium Metal-Organic Framework Photocatalysts
Exploiting pi-pi interactions to design efficient sorbent for atrazine removal from water
Machine learning and quantum embedding methods for high accuracy calculations
Computational Prescreening of Metal-Catecholated Metal-Organic Frameworks for Air Separation
A Porous, Electrically Conductive Hexa-Zirconium(IV) Metal-Organic Framework
Deep Neural Network Learning ofBinary Desorption Equilibria
High-Throughput Screening of CoRE MOFs for Biogas Purification
Energy-Based Descriptors to Rapidly Predict HydrogenStorage in MOFs
Cerium-based metal-organic frameworks for photocatalysis
Recent Developments in Computing the Properties of Atoms in Materials
Analysis of the Huzinaga Level-shift Quantum Embedding Method