Fast cation transport in solids underpins energy storage. Materials design has focused on
structures that can define transport pathways with minimal cation coordination change …

The application of machine learning models to predict material properties is determined by
the availability of high-quality data. We present an expert-curated dataset of lithium ion …

Near-infrared phosphor-converted light-emitting diode (NIR pc-LED) is becoming a smart
light source for portable multifunctional devices, utilizing in fields like bio-imaging, night …

The exploration of nonlinear optical crystals with ultraviolet (UV) transparent ranges and
easy-to-grow large-size crystals is one of the current research interests. Herein, by …

The objective of this work is to study the electrical/dielectric and optical properties of new
pyrophosphates Li x Cu 2-x/2 P 2 O 7 (x​=​ 0, 0.05 and 0.1) prepared by the ceramic …

Computational exploration of the compositional spaces of materials can provide guidance
for synthetic research and thus accelerate the discovery of novel materials. Most approaches …

It is essential in the production of the next generation of rechargeable batteries to elucidate
the reaction phases formed after co-sintering in all-solid-state batteries with oxide solid …

The following experiment was conducted under the guidance of Professor Hiroki Sakaguchi,
Associate Professor Hiroyuki Usui, and Associate Professor Yasuhiro Domi at the Applied …

The objective of this work is to study the electrical/dielectric and optical properties of new
pyrophosphates LixCu2-x/2P2O7 (x= 0, 0.05 and 0.1) prepared by the ceramic method. The …

Fossil fuel and internal combustion engines are the backbone of our transportation and
energy need since the industrial revolution. However, this extreme usage of fossil fuel over …