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Stabilized anode-electrolyte interfaces via Cs4Pb(Cl/Br/I)6 perovskite crystal based glass-ceramics for fast and long cycle-life lithium ion batteries
Article is a study that designs a smart anode/liquid electrolyte interface for high energy density batteries that present large specific capacity retentions.
Date:
June 17, 2022
Creator:
Xie, Wenqing; Cao, Jianghang; Li, Panpan; Fan, Meiqiang; Xu, Shiqing; Du, Jincheng et al.
System:
The UNT Digital Library
Polymorphic nature of {332} 〈 113 〉 twinning mode in BCC alloys
Article using ab initio calculations and experimental observations to show that {332}<113> twinning can be described as a polymorphic solid-state transformation able to produce either twinned or martensitic structures with a unified transformation path.
Date:
March 17, 2022
Creator:
Kwasniak, P.; Sun, F.; Mantri, Srinivas Aditya; Banerjee, Rajarshi & Prima, Frederic
System:
The UNT Digital Library
Wearable airbag technology and machine learned models to mitigate falls after stroke
Article discusses wearable airbag technology that has been designed to detect and mitigate fall impact. However, this technology has not been validated for the stroke population, so authors investigated whether population-specific training data and modeling parameters are required to pre-detect falls in a chronic stroke population.
Date:
June 17, 2022
Creator:
Botonis, Olivia K.; Harari, Yaar; Embry, Kyle R.; Mummidisetty, Chaithanya K.; Riopelle, David; Giffhorn, Matt et al.
System:
The UNT Digital Library
Discovery of the first heavily obscured QSO candidate at z > 6 in a close galaxy pair
This article reports the Chandra discovery of the first heavily obscured QSO candidate in the early universe, hosted by a close (≈5 kpc) galaxy pair at z = 6.515.
Date:
May 17, 2022
Creator:
Vito, F.; Brandt, William Nielsen; Bauer, Franz E.; Gilli, Roberto; Luo, B.; Zamorani, G. et al.
System:
The UNT Digital Library
Predicting initial dissolution rates using structural featuresfrom molecular dynamics simulations
Article states that predicting the chemical durability of glass materials is important for various applications from daily life such as cell phone screens and kitchenware to advanced technologies such as nuclear waste disposal and biomedicine. In this work, we explored the prediction of the initial glass dissolution rates using structural features from molecular dynamics (MD) simulations for a series of glass compositions (total 28), including ZrO2- and V2O5-containing boroaluminosilicate, borosilicate, and aluminosilicate glasses.
Date:
October 17, 2022
Creator:
Lu, Xiaonan; Deng, Lu; Gin, Stéphane; Parruzot, Benjamin; Reiser, Joelle T.; Ryan, Joseph V. et al.
System:
The UNT Digital Library