A double-ternary combinatorial chemistry (combi-chem) library was visualized in terms of structure, PL intensity, and color chromaticity for a nitride phosphor system, ARSi4N7:Eu(2+) (A = Sr, Ca, Ba; R = Y, La, Lu), so as to obtain a quantitative structure and property relationship (QSPR) in a systematic manner. Most of the samples constituting the double-ternary combi-chem library turned out to have ARSi4N7 structures with a P63mc space group. However, several phases such as Ca2Si5N8 with a Cc space group, LaSi3N5 with a P212121 space group, R6Si11N20O with a P31c space group, etc., coexisted. Aside from the green luminescence from the well-known SrYSi4N7:Eu(2+) and BaYSi4N7:Eu(2+) phosphors, their solid solutions (Sr,Ba)Si4N7:Eu(2+) proved to possess better PL properties. In addition, novel phosphors with an acceptable green PL intensity and color chromaticity were discovered in the ALuSi4N7:Eu(2+) side of the double-ternary combi-chem library. The Ca-rich side did not constitute a single-phase ARSi4N7 structure with a P63mc space group, and therefore the red emission in the Ca-rich side proved to originate from well-known Ca2Si5N8:Eu(2+) phosphors, which resided in the sample as a minor phase.

Acquiring materials that simultaneously meet two or more conflicting requirements is very difficult. For instance, a situation wherein the color chromaticity and photoluminescence (PL) intensity of phosphors conflict with one another is a frequent problem. Therefore, identification of a good phosphor that simultaneously exhibits both desirable PL intensity and color chromaticity is a challenge. A high‐throughput synthesis and characterization strategy that was reinforced by a nondominated sorting genetic algorithm (NSGA)‐based optimization process was employed to simultaneously optimize both the PL intensity and color chromaticity of a MgO–ZnO–SrO–CaO–BaO–Al2O3–Ga2O3–MnO system. NSGA operations, such as Pareto sorting and niche sharing, and the ensuing high‐throughput synthesis and characterization resulted in identification of promising green phosphors, i.e., Mn2+‐doped AB2O4 (A = alkali earth, B = Al and Ga) spinel solid solutions, for use in either plasma display panels or cold cathode fluorescent lamps.

Non-dominated sorting genetic algorithm (NSGA) and particle swarm optimization (PSO), the most well-known population-based heuristics optimization techniques, were used along with highthroughput synthesis and a characterization technique to discover a new alkali-alkaline earthphosphate phosphor in a multi-compositional search space that consisted of 10 oxides:

Novel optical phased array design based on spatially-chirped spacing is presented for solid-state beam steering. Its 128-channel implementation achieved 2.1-dB higher side- mode suppression ratio compared to previous results. 10-m 3D depth imaging was also demonstrated.