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		题名	作者	年代	出处	被引量
	1	Doped high-entropy glassy materials to create optical coherence from maximally disordered systems显示文摘Control over excitation wavelengths,sample size,and doping concentrations in glassy materials with high levels of configuration entropy shows promises of efficient correlation between absorption and build-up of coherent emission of radiation.	Michele Marrocco	2022	Light(Science & Applications)2022，11，9：	0
	2	Mining of lattice distortion, strength, and intrinsic ductility of refractory high entropy alloys显示文摘Severe lattice distortion is a prominent feature of high-entropy alloys(HEAs)considered a reason for many of those alloys’properties.Nevertheless,accurate characterizations of lattice distortion are still scarce to only cover a tiny fraction of HEA’s giant composition space due to the expensive experimental or computational costs.Here we present a physics-informed statistical model to efficiently produce high-throughput lattice distortion predictions for refractory non-dilute/high-entropy alloys(RHEAs)in a 10-element composition space.The model offers improved accuracy over conventional methods for fast estimates of lattice distortion by making predictions based on physical properties of interatomic bonding rather than atomic size mismatch of pure elements.The modeling of lattice distortion also implements a predictive model for yield strengths of RHEAs validated by various sets of experimental data.Combining our previous model on intrinsic ductility,a data mining design framework is demonstrated for efficient exploration of strong and ductile single-phase RHEAs.	Christopher Tandoc Yong-Jie Hu Liang Qi Peter K.Liaw	2023	npj Computational Materials2023，，1：	0

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