William Green

Hoyt C Hottel Professor

Massachusetts Institute of Technology

United States

Research Interests

Explore related searches

Professors in United States Professors in Organic Chemistry Organic Chemistry professors in United States

Contact this professor

ORCID

Google Scholar

About

William Green is the Hoyt C Hottel Professor at the Massachusetts Institute of Technology in the United States. His research focuses on sustainable energy solutions, particularly in ammonia production, electrochemical systems, and the decarbonization of transportation. Recent publications highlight his work on solvation free energy predictions and thermochemical methods, contributing to advancements in both theoretical and applied chemistry.

William Green

Research Interests

Explore related searches

Contact this professor

About

Articles (30)

Pooling solvent mixtures for solvation free energy predictions

Solvation Free Energies of Anions: From Curated Reference Data to Predictive Models

A Comprehensive Costing and Emissions Analysis of Blue, Green, and Combined Blue-Green Ammonia Production

Data-driven organic solubility prediction at the limit of aleatoric uncertainty

Automatic Generation of Chemical Mechanisms for Electrochemical Systems: Solid Electrolyte Interphase Formation in Lithium Batteries

New modified Arrhenius equation to describe the temperature dependence of liquid phase reaction rates

Assessing the Potential of Alternative Fuels to Decarbonize Long-Haul Trucking in the United States

Generalizable, fast, and accurate DeepQSPR with fastprop

Toward Accurate Quantum Mechanical Thermochemistry: (2) Optimal Methods for Enthalpy Calculations from Comprehensive Benchmarks of 284 Model Chemistries

Battery electric long-haul trucking with overnight charging in the United States: A comprehensive costing and emissions analysis

Accurately Predicting Barrier Heights for Radical Reactions in Solution Using Deep Graph Networks

When Do Quantum Mechanical Descriptors Help Graph Neural Networks to Predict Chemical Properties?

ReactionMechanismSimulator.jl: A modern approach to chemical kinetic mechanism simulation and analysis

Perspective on automated predictive kinetics using estimates derived from large datasets

Toward Accurate Quantum Mechanical Thermochemistry: (1) Extensible Implementation and Comparison of Bond Additivity Corrections and Isodesmic Reactions

Subgraph Isomorphic Decision Tree to Predict Radical Thermochemistry with Bounded Uncertainty Estimation

Oxygen Chemistry in Polymer Fouling: Insights from Multiphase Detailed Kinetic Modeling

Chemprop: A Machine Learning Package for Chemical Property Prediction

A machine learning based approach to reaction rate estimation

Machine learning from quantum chemistry to predict experimental solvent effects on reaction rates

Detailed Multiphase Chemical Kinetic Model for Polymer Fouling in a Distillation Column

Predicting Critical Properties and Acentric Factors of Fluids Using Multitask Machine Learning

Perspective on Decarbonizing Long-Haul Trucks Using Onboard Dehydrogenation of Liquid Organic Hydrogen Carriers

Computing Kinetic Solvent Effects and Liquid Phase Rate Constants Using Quantum Chemistry and COSMO-RS Methods

Characterizing Uncertainty in Machine Learning for Chemistry

A wide range experimental and kinetic modeling study of the oxidation of 2,3-dimethyl-2-butene: Part 1

Butyl Acetate Pyrolysis and Combustion Chemistry: Mechanism Generation and Shock Tube Experiments

A workflow for automatic generation and efficient refinement of individual pressure-dependent networks

Multiscale Modeling and Characterization of Radical-Initiated Modification of Molten Polyolefins

High accuracy barrier heights, enthalpies, and rate coefficients for chemical reactions

Collaborators (9)

Weizhong Zou

Emad Al-lbrahim

Kevin Greenman

Subith S. Vasu

Esther Heid

Irina Smirnova

Gianmaria Pio

Thomas Nevolianis

Richard West

How do I reach out?

Meet Kite AI