Call Number (LC) Title Results
E 1.99:nrel/pr-5400-73061 Impacts of Travel Demand Information Diffusion on Reducing Empty Vehicle Miles Traveled by Ridesourcing Vehicles 1
E 1.99:nrel/pr-5400-73068 Heat of Vaporization and Species Evolution During Gasoline Evaporation Measured by DSC/TGA/MS for Blends of C1 to C4 Alcohols in Commercial Gasoline Blendstocks 1
E 1.99:nrel/pr-5400-73078 Identifying ADA Paratransit Deserts, Availability, and Resilience 1
E 1.99:nrel/pr-5400-73097 Using the American Time-Use Survey for Travel-Behavior Research 1
E 1.99:nrel/pr-5400-73315 Bio-Blendstock Fuel Property Characterization 1
E 1.99:nrel/pr-5400-73434 Overview of Battery R&D Activities 1
E 1.99:nrel/pr-5400-73481 Energy Storage Analysis 1
E 1.99:nrel/pr-5400-73491 Market Segmentation Analysis of Medium and Heavy Duty Trucks with a Fuel Cell Emphasis 1
E 1.99:nrel/pr-5400-73516 Foothill Transit Agency Battery Electric Bus Progress Report, Data Period Focus Jan. 2019 through Jun. 2019. 1
E 1.99:nrel/pr-5400-73520 Energy Storage Days of Service Sensitivity Analysis. 1
E 1.99:nrel/pr-5400-73527 Turboexpander Alternative Fueling Concept for Fuel Cell Electric Vehicle Fast Fill. 1
E 1.99:nrel/pr-5400-73547 Power Electronics Thermal Management 1
E 1.99:nrel/pr-5400-73548 Electric Motor Thermal Management 1
E 1.99:nrel/pr-5400-73549 Integrated Traction Drive Thermal Management Keystone Project 3. 1
E 1.99:nrel/pr-5400-73551 Power Electronics Materials and Bonded Interfaces - Reliability and LIfetime 1
E 1.99:nrel/pr-5400-73569 Screening of Potential Biomass-Derived Streams as Fuel Blendstocks for Mixing Controlled Compression Ignition Combustion 1
E 1.99:nrel/pr-5400-73575 A Novel Reformulation of the Pseudo2D Battery Model Coupling Large Deformations at Particle and Electrode Levels 1
E 1.99:nrel/pr-5400-73591 Urban Traveler - Changes and Impacts Mobility Energy Productivity (MEP) Metric. 1
E 1.99:nrel/pr-5400-73592 Modeling and Simulation of Automated Mobility Districts 1
E 1.99:nrel/pr-5400-73595 Ubiquitous Traffic Volume Estimation through Machine Learning Procedure 1