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A Machine Learning Approach to Zeolite Synthesis Enabled by Automatic Literature Data Extraction

scholarly article by Zach Jensen et al published 19 April 2019 in ACS Central Science

A Methodology for Robust Comparative Life Cycle Assessments Incorporating Uncertainty

artículo científico publicado en 2016

A Multiobjective Model for Biodiesel Blends Minimizing Cost and Greenhouse Gas Emissions

Conflict minerals in the compute sector: estimating extent of tin, tantalum, tungsten, and gold use in ICT products

artículo científico publicado en 2015

Emission impacts of China’s solid waste import ban and COVID-19 in the copper supply chain

artículo científico publicado en 2021

Environmental life-cycle assessment

artículo científico publicado en 2017

Exploring the viability of probabilistic under-specification to streamline life cycle assessment.

artículo científico publicado en 2013

Fatty acid based prediction models for biodiesel properties incorporating compositional uncertainty

article

Graph similarity drives zeolite diffusionless transformations and intergrowth

artículo científico publicado en 2019

Impact of feedstock diversification on the cost-effectiveness of biodiesel

Impact of policy on greenhouse gas emissions and economics of biodiesel production.

artículo científico publicado en 2014

Increasing secondary and renewable material use: a chance constrained modeling approach to manage feedstock quality variation

artículo científico publicado en 2011

Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks

scientific article published on 28 January 2020

Machine-learned and codified synthesis parameters of oxide materials

artículo científico publicado en 2017

Perspectives on Cobalt Supply through 2030 in the Face of Changing Demand

artículo científico publicado en 2020

Toward sustainable material usage: evaluating the importance of market motivated agency in modeling material flows

artículo científico publicado en 2011

Virtual screening of inorganic materials synthesis parameters with deep learning

artículo científico publicado en 2017

Lista de obras de

A Machine Learning Approach to Zeolite Synthesis Enabled by Automatic Literature Data Extraction

A Methodology for Robust Comparative Life Cycle Assessments Incorporating Uncertainty

A Multiobjective Model for Biodiesel Blends Minimizing Cost and Greenhouse Gas Emissions

Conflict minerals in the compute sector: estimating extent of tin, tantalum, tungsten, and gold use in ICT products

Emission impacts of China’s solid waste import ban and COVID-19 in the copper supply chain

Environmental life-cycle assessment

Exploring the viability of probabilistic under-specification to streamline life cycle assessment.

Fatty acid based prediction models for biodiesel properties incorporating compositional uncertainty

Graph similarity drives zeolite diffusionless transformations and intergrowth

Impact of feedstock diversification on the cost-effectiveness of biodiesel

Impact of policy on greenhouse gas emissions and economics of biodiesel production.

Increasing secondary and renewable material use: a chance constrained modeling approach to manage feedstock quality variation

Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks

Machine-learned and codified synthesis parameters of oxide materials

Perspectives on Cobalt Supply through 2030 in the Face of Changing Demand

Toward sustainable material usage: evaluating the importance of market motivated agency in modeling material flows

Virtual screening of inorganic materials synthesis parameters with deep learning