Results 141 to 150 of about 146,147 (271)
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao +8 more
wiley +1 more source
Law School News, August 11, 1999
Periodic summary of scholarly activities of UT Law ...
Tarlton Law Library
core
Ultrathin lithium metal anodes (≤15 µm) offer a promising route to high‐energy‐density batteries due to their high capacity and low potential. This review presents design principles for ultrathin Li, evaluates fabrication strategies, and discusses challenges in liquid and solid‐state cells.
Cheng Wang +9 more
wiley +1 more source
The Analysis of the Target Component of Law Interpretative Activities
openaire +1 more source
Hiring qualified Forensic Investigative Genetic Genealogy (FIGG) practitioners: Recommendations for forensic science and law enforcement agencies. [PDF]
McLean W +9 more
europepmc +1 more source
Law School News, April 5, 2000
Periodic summary of scholarly activities of UT Law ...
Tarlton Law Library
core
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
Largely in response to lobbying by industry of members of Congress, in November 2015, the US Commercial Space Launch Competitiveness Act (CSLCA) entered into law.1 The legislation covers a variety of space-related issues and activities, including ...
Freeland, Steven (R13494)
core
This study presents a compact dynamic‐field‐driven nucleation and growth (DFNG) model that captures ferroelectric switching behavior under arbitrary voltage waveforms. It enables extraction of time‐dependent domain wall velocity and growth dimensionality, which can then be extended to device‐level modeling.
Yi Liang +10 more
wiley +1 more source

