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DOE/Oak Ridge National Laboratory


Story tips: Mighty Mo material, fueling retooling, goods on the move, doubling concrete and more

Researchers at Oak Ridge National Laboratory have developed a refractory metal alloy that can withstand extreme temperatures and is viable for additive manufacturing. The team also created an electrocatalyst that enables the conversion of water and carbon dioxide into higher weight hydrocarbons, set to reduce fuel costs.

SourceDOE/Oak Ridge National Laboratory·JournalConstruction and Building Materials·DateApr 5, 2021

Neutrons reveal unpredicted binding between SARS-CoV-2, hepatitis C antiviral drug

Researchers used neutron scattering to investigate interactions between telaprevir and the SARS-CoV-2 main protease, discovering unforeseen changes in electric charges that were not predicted by computer simulations. This finding suggests that assumptions about binding behaviors should be based on individual atom-level observations rat...

SourceDOE/Oak Ridge National Laboratory·JournalJournal of Medicinal Chemistry·DateMar 23, 2021

Neutrons probe molecular behavior of proposed COVID-19 drug candidates

Researchers analyze molecular dynamics of proposed COVID-19 drug candidates to understand their interactions with target proteins in human cells. They found that certain parts of the molecules can move more easily once hydrated, which could influence how efficiently a drug takes on shapes associated with different biological functions.

SourceDOE/Oak Ridge National Laboratory·JournalThe Journal of Physical Chemistry Letters·DateFeb 1, 2021

New engine capability accelerates advanced vehicle research

Researchers at Oak Ridge National Laboratory have accelerated a research engine that provides an unprecedented view inside the atomic-level workings of combustion engines in real time. The engine, built to run on a neutron beam line, allows investigation of structural changes in new alloys designed for high-temperature, advanced combus...

SourceDOE/Oak Ridge National Laboratory·JournalProceedings of the National Academy of Sciences·DateDec 21, 2020

Blocking vibrations that remove heat could boost efficiency of next-gen solar cells

Researchers at Oak Ridge National Laboratory and the University of Tennessee discovered a way to slow phonons, waves that transport heat, in photovoltaic materials. This discovery holds promise for improving novel hot-carrier solar cells, which convert sunlight to electricity more efficiently than conventional solar cells by harnessing...

SourceDOE/Oak Ridge National Laboratory·JournalScience Advances·DateOct 5, 2020

Story tips: Cool smart walls, magnetism twist, fuel cost savings and polymers' impact

Researchers developed a smart wall that functions as both a support structure and a cooling system, potentially lowering energy bills. Scientists also discovered a way to control the size of magnetic quasi-particles called skyrmions, which could advance high-density data storage and quantum magnets. Additionally, a new method for gaugi...

SourceDOE/Oak Ridge National Laboratory·JournalScience Advances·DateSep 1, 2020

Story tips: Pandemic impact, root studies, neutrons confirm, lab on a crystal & modeling fusion

Researchers developed a machine learning model to predict pandemic impact on fuel demand, analyzing mobility patterns and historical weekly motor travel trends. In another study, scientists found extraordinary fine-root growth with increasing temperatures in northern peatlands, indicating a previously hidden belowground mechanism that ...

SourceDOE/Oak Ridge National Laboratory·JournalNature Energy·DateAug 4, 2020

Love-hate relationship of solvent and water leads to better biomass breakup

A team of scientists at Oak Ridge National Laboratory used neutron scattering and supercomputing to understand how an organic solvent and water work together to break down plant biomass. They identified optimal temperatures for the process, which can aid in the rational design of even more efficient technologies.

SourceDOE/Oak Ridge National Laboratory·JournalProceedings of the National Academy of Sciences·DateJul 15, 2020

Story tips: Predicting fire risk, solid state stability check and images in a flash

Researchers developed a machine learning approach to predict seasonal fire risk in Africa, using data on ocean temperatures and land surface changes. Additionally, scientists found that charge loss in lithium-ion batteries is related to the inherent structural instability of the cathode's crystalline structure. A new microscope tool pr...

SourceDOE/Oak Ridge National Laboratory·JournalNature Communications·DateJul 6, 2020