OOIR: Observatory of International Research

Papers

(The H4-Index of Physical Review Materials is 31. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)

Article	Citations
Superconductivity in the Z2 kagome metal	278
Developing an improved crystal graph convolutional neural network framework for accelerated materials discovery	138
Predicting plasticity in disordered solids from structural indicators	108
Phase diagram of infinite layer praseodymium nickelate Pr1−	98
Synthesis and characterization of bulk Nd1−x	86
Coherent phonon spectroscopy and interlayer modulation of charge density wave order in the kagome metal CsV	80
A-type antiferromagnetic order in MnBi4Te7	76
Fermi level tuning and double-dome superconductivity in the kagome metal CsV3	75
Prediction of low-Z collinear and noncollinear antiferromagnetic compounds having momentum-dependent spin splitting even without spin-orbit coupling	66
Orbital graph convolutional neural network for material property prediction	66
Experimental observation of high intrinsic thermal conductivity of AlN	60
Ferroelectricity in boron-substituted aluminum nitride thin films	57
Evaluating optimal U for 3	55
Two-channel anomalous Hall effect in SrRuO3	53
Tuning magnetic order in the van der Waals metal Fe5GeTe	53
Anharmonicity measure for materials	45
Native defects in antiferromagnetic topological insulator MnBi2	42
Grain boundary energy effect on grain boundary segregation in an equiatomic high-entropy alloy	42
Estimating disorder and its adverse effects in semiconductor Majorana nanowires	42
Indentation-strain stiffening in tungsten nitrides: Mechanisms and implications	41
Structure-strength relations of distinct MoN phases from first-principles calculations	40
Tuning structural and electronic properties of two-dimensional aluminum monochalcogenides: Prediction of Janus Al<	39
Nodeless kagome superconductivity in LaRu3Si	38
Determining the Rashba parameter from the bilinear magnetoresistance response in a two-dimensional electron gas	36
Interplay of charge density wave and multiband superconductivity in layered quasi-two-dimensional materials: The case of 2	36

Neural network atomic potential to investigate the dislocation dynamics in bcc iron	35
Elucidating the atomistic origin of anharmonicity in tetragonal CH3	34
Doping-dependent character and possible magnetic ordering of NdNiO2	34
Yb3+ speciation a	34
Performance comparison of r2SCAN and	32
Machine learning for metallurgy II. A neural-network potential for magnesium	32
Deep dive into machine learning density functional theory for materials science and chemistry	31
Machine learning for metallurgy I. A neural-network potential for Al-Cu	31
Strain and electric-field control of spin-spin interactions in monolayer CrI3	31