| Materials design and discovery with high-throughput density functional theory: the open quantum materials database (OQMD) JE Saal, S Kirklin, M Aykol, B Meredig, C Wolverton Jom 65, 1501-1509, 2013 | 2380 | 2013 |
| The Open Quantum Materials Database (OQMD): assessing the accuracy of DFT formation energies S Kirklin, JE Saal, B Meredig, A Thompson, JW Doak, M Aykol, S Rühl, ... npj Computational Materials 1 (1), 1-15, 2015 | 1850 | 2015 |
| Combinatorial screening for new materials in unconstrained composition space with machine learning B Meredig, A Agrawal, S Kirklin, JE Saal, JW Doak, A Thompson, K Zhang, ... Physical Review B 89 (9), 094104, 2014 | 787 | 2014 |
| High-throughput computational screening of perovskites for thermochemical water splitting applications AA Emery, JE Saal, S Kirklin, VI Hegde, C Wolverton Chemistry of Materials 28 (16), 5621-5634, 2016 | 276 | 2016 |
| Enthalpies of formation of magnesium compounds from first-principles calculations H Zhang, S Shang, JE Saal, A Saengdeejing, Y Wang, LQ Chen, ZK Liu intermetallics 17 (11), 878-885, 2009 | 219 | 2009 |
| Passivation of a corrosion resistant high entropy alloy in non-oxidizing sulfate solutions KF Quiambao, SJ McDonnell, DK Schreiber, AY Gerard, KM Freedy, P Lu, ... Acta materialia 164, 362-376, 2019 | 192 | 2019 |
| Thermodynamic stability of Mg-based ternary long-period stacking ordered structures JE Saal, C Wolverton Acta Materialia 68, 325-338, 2014 | 159 | 2014 |
| Integrated computational materials engineering of corrosion resistant alloys CD Taylor, P Lu, J Saal, GS Frankel, JR Scully npj Materials Degradation 2 (1), 6, 2018 | 130 | 2018 |
| Machine learning in materials discovery: confirmed predictions and their underlying approaches JE Saal, AO Oliynyk, B Meredig Annual Review of Materials Research 50, 49-69, 2020 | 128 | 2020 |
| Computational materials design of a corrosion resistant high entropy alloy for harsh environments P Lu, JE Saal, GB Olson, T Li, OJ Swanson, GS Frankel, AY Gerard, ... Scripta Materialia 153, 19-22, 2018 | 128 | 2018 |
| Predicting β′ precipitate morphology and evolution in Mg–RE alloys using a combination of first-principles calculations and phase-field modeling YZ Ji, A Issa, TW Heo, JE Saal, C Wolverton, LQ Chen Acta materialia 76, 259-271, 2014 | 125 | 2014 |
| Equilibrium high entropy alloy phase stability from experiments and thermodynamic modeling JE Saal, IS Berglund, JT Sebastian, PK Liaw, GB Olson Scripta Materialia 146, 5-8, 2018 | 115 | 2018 |
| High-throughput computational search for strengthening precipitates in alloys S Kirklin, JE Saal, VI Hegde, C Wolverton Acta Materialia 102, 125-135, 2016 | 109 | 2016 |
| Approaching chemical accuracy with density functional calculations: Diatomic energy corrections S Grindy, B Meredig, S Kirklin, JE Saal, C Wolverton Physical Review B—Condensed Matter and Materials Physics 87 (7), 075150, 2013 | 109 | 2013 |
| Localized corrosion behavior of a single-phase non-equimolar high entropy alloy T Li, OJ Swanson, GS Frankel, AY Gerard, P Lu, JE Saal, JR Scully Electrochimica Acta 306, 71-84, 2019 | 108 | 2019 |
| Formation of high-strength β′ precipitates in Mg–RE alloys: the role of the Mg/β ″interfacial instability A Issa, JE Saal, C Wolverton Acta Materialia 83, 75-83, 2015 | 108 | 2015 |
| Thermodynamic stability of Co–Al–W L12 γ′ JE Saal, C Wolverton Acta materialia 61 (7), 2330-2338, 2013 | 104 | 2013 |
| Prediction of seebeck coefficient for compounds without restriction to fixed stoichiometry: A machine learning approach A Furmanchuk, JE Saal, JW Doak, GB Olson, A Choudhary, A Agrawal Journal of computational chemistry 39 (4), 191-202, 2018 | 94 | 2018 |
| Expanded dataset of mechanical properties and observed phases of multi-principal element alloys CKH Borg, C Frey, J Moh, TM Pollock, S Gorsse, DB Miracle, ON Senkov, ... Scientific Data 7 (1), 430, 2020 | 91 | 2020 |
| The structural evolution of boron carbide via ab initio calculations JE Saal, S Shang, ZK Liu Applied Physics Letters 91, 231915, 2007 | 91 | 2007 |
Chris WolvertonProfessor of Materials Science and Eng., Northwestern University確認したメール アドレス: northwestern.edu