about
High-throughput screening of inorganic compounds for the discovery of novel dielectric and optical materialsA database to enable discovery and design of piezoelectric materials.Charting the complete elastic properties of inorganic crystalline compounds.A Statistical Learning Framework for Materials Science: Application to Elastic Moduli of k-nary Inorganic Polycrystalline Compounds.An ab initio electronic transport database for inorganic materials.Solar fuels photoanode materials discovery by integrating high-throughput theory and experiment.Experimental formation enthalpies for intermetallic phases and other inorganic compounds.Interplay between subsurface ordering, surface segregation, and adsorption on Pt-Ti(111) near-surface alloys.Predicting defect behavior in B2 intermetallics by merging ab initio modeling and machine learningPyDII: A python framework for computing equilibrium intrinsic point defect concentrations and extrinsic solute site preferences in intermetallic compoundsFireWorks: a dynamic workflow system designed for high-throughput applicationsUnderstanding thermoelectric properties from high-throughput calculations: trends, insights, and comparisons with experimentYCuTe2: a member of a new class of thermoelectric materials with CuTe4-based layered structureComputational and experimental investigation of TmAgTe2 and XYZ2 compounds, a new group of thermoelectric materials identified by first-principles high-throughput screeningFirst-principles study of electronic structure and photocatalytic properties of MnNiO3 as an alkaline oxygen-evolution photocatalystPerformance of Cluster Expansions of Coverage-Dependent Adsorption of Atomic Oxygen on Pt(111)
P50
Q30362472-8D637FE6-B745-425F-A913-E24A9A1EA7A9Q30401371-C52F3E2D-F029-405D-A4E1-0CBF870B6FA0Q30411951-2947331F-5F83-47D5-A8CB-E93630458663Q37303548-DF857E9A-27E3-4647-B063-90F9A7F91CB3Q38694671-CF858D24-6FE3-4F07-84A6-DD25D35DD7F6Q41710122-34F0A568-F0BE-44F3-83ED-BDCE47691367Q42641888-7F813318-0D80-471C-B6CA-3D136097C779Q51419307-25CCD62F-76A7-4B71-8B76-9B276720DE28Q57661554-80114DAB-0896-4498-8D1A-08F6C0EC09AEQ57661557-9D53ED62-9157-4FEC-AC93-83A3475B1B37Q57661560-2135AD51-2294-435E-8F68-3A3388036207Q59745618-662BC675-F915-49E7-9310-19995F3FAC5AQ59745623-7F2452DF-198B-4D86-A3DD-B8C7B539BB5CQ62670249-7446B429-C42D-4EE5-B7C3-E257C310AA91Q62670251-8221B40C-BF35-4964-9029-57E9A27CFF72Q62670255-F16E6AA2-941F-43E3-8C74-9FBD73446E9F
P50
description
researcher ORCID: 0000-0002-1135-7721
@en
name
Wei Chen
@ast
Wei Chen
@en
Wei Chen
@es
Wei Chen
@nl
type
label
Wei Chen
@ast
Wei Chen
@en
Wei Chen
@es
Wei Chen
@nl
prefLabel
Wei Chen
@ast
Wei Chen
@en
Wei Chen
@es
Wei Chen
@nl
P106
P2456
P31
P496
0000-0002-1135-7721