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19922026
most citedFast and Accurate Modeling of Molecular Atomization Energies with Machine Learning

2.4k citations

Showing 2018 · cond-mat.mtrl-sciShow all

26 papers · 2 filters

cond-mat.mtrl-sci2018★ 33 cited

Hybrid Organic-Inorganic Perovskites as Promising Substrates for Pt Single-Atom Catalysts

Qiang Fu, Claudia Draxl

Single-atom catalysts (SACs) combine the best of two worlds by bridging heterogeneous and homogeneous catalysis. The superior catalytic properties of SACs, however, can hardly be e…

cond-mat.mtrl-sci2018★ 64 cited

NOMAD 2018 Kaggle Competition: Solving Materials Science Challenges Through Crowd Sourcing

Christopher Sutton, Luca M. Ghiringhelli, Takenori Yamamoto +7

Machine learning (ML) is increasingly used in the field of materials science, where statistical estimates of computed properties are employed to rapidly examine the chemical space…

cond-mat.mtrl-sci2018★ 56 cited

Two-to-three dimensional transition in neutral gold clusters: the crucial role of van der Waals interactions and temperature

Bryan R. Goldsmith, Jacob Florian, Jin-Xun Liu +6

We predict the structures of neutral gas-phase gold clusters (, = 513) at finite temperatures based on free-energy calculations obtained by replica-exchange ab initio…

cond-mat.mtrl-sci2018★ 1.1k cited

High-entropy high-hardness metal carbides discovered by entropy descriptors

Pranab Sarker, Tyler Harrington, Cormac Toher +6

High-entropy materials have attracted considerable interest due to the combination of useful properties and promising applications. Predicting their formation remains the major hin…

cond-mat.mtrl-sci2018★ 2 cited

Towards the growth of single-crystal boron nitride monolayer on Cu

Li Wang, Xiaozhi Xu, Leining Zhang +21

Atom-layered hexagonal boron nitride (hBN), with excellent stability, flat surface and large bandgap, has been reported to be the best 2D insulator to open up the great possibiliti…

cond-mat.mtrl-sci2018★ 8 cited

Quasi-free-standing single-layer WS2 achieved by intercalation

Sanjoy K. Mahatha, Maciej Dendzik, Charlotte E. Sanders +4

Large-area and high-quality single-layer transition metal dichalcogenides can be synthesized by epitaxial growth on single-crystal substrates. An important advantage of this approa…

cond-mat.mtrl-sci2018★ 7 cited

Uncovering the (un-)occupied electronic structure of a buried hybrid interface

S. Vempati, J. -C. Deinert, L. Gierster +10

The energy level alignment at organic/inorganic (o/i) semiconductor interfaces is crucial for any light-emitting or -harvesting functionality. Essential is the access to both occup…

cond-mat.mtrl-sci2018

Coordination corrected ab initio formation enthalpies

Rico Friedrich, Demet Usanmaz, Corey Oses +5

The correct calculation of formation enthalpy is one of the enablers of ab-initio computational materials design. For several classes of systems (e.g. oxides) standard density func…

cond-mat.mtrl-sci2018

Modulation of the Work Function by the Atomic Structure of Strong Organic Electron Acceptors on H-Si(111)

Haiyuan Wang, Sergey V. Levchenko, Thorsten Schultz +3

Advances in hybrid organic/inorganic architectures for optoelectronics can be achieved by understanding how the atomic and electronic degrees of freedom cooperate or compete to yie…

cond-mat.mtrl-sci2018★ 179 cited

Machine-learned multi-system surrogate models for materials prediction

Chandramouli Nyshadham, Matthias Rupp, Brayden Bekker +6

Surrogate machine-learning models are transforming computational materials science by predicting properties of materials with the accuracy of ab initio methods at a fraction of the…

cond-mat.mtrl-sci2018★ 24 cited

Test set for materials science and engineering with user-friendly graphic tools for error analysis: Systematic benchmark of the numerical and intrinsic errors in state-of-the-art electronic-structure approximations

Igor Ying Zhang, Andrew J. Logsdail, Xinguo Ren +3

Understanding the applicability and limitations of electronic-structure methods needs careful and efficient comparison with accurate reference data. Knowledge of the quality and er…

cond-mat.mtrl-sci2018★ 8 cited

Attosecond state-resolved carrier motion in quantum materials probed by soft X-ray XANES

Barbara Buades, Antonio Picon, Emma Berger +16

Recent developments in attosecond technology led to tabletop X-ray spectroscopy in the soft X-ray range, thus uniting the element- and state-specificity of core-level x-ray absorpt…

cond-mat.mtrl-sci2018★ 41 cited

Artificial Intelligence for High-Throughput Discovery of Topological Insulators: the Example of Alloyed Tetradymites

Guohua Cao, Runhai Ouyang, Luca M. Ghiringhelli +4

Significant advances have been made in predicting new topological materials using high-throughput empirical descriptors or symmetry-based indicators. To date, these approaches have…

cond-mat.mtrl-sci2018

A peeling approach for integrated manufacturing of large mono-layer h-BN crystals

Ruizhi Wang, David G. Purdie, Ye Fang +8

Hexagonal boron nitride (h-BN) is the only known material aside from graphite with a structure composed of simple, stable, non-corrugated atomically thin layers. While historically…

cond-mat.mtrl-sci2018★ 9 cited

AFLOW-QHA3P: Robust and automated method to compute thermodynamic properties of solids

Pinku Nath, Demet Usanmaz, David Hicks +5

Accelerating the calculations of finite-temperature thermodynamic properties is a major challenge for rational materials design. Reliable methods can be quite expensive, limiting t…

cond-mat.mtrl-sci2018★ 35 cited

Magnetic field dependence of antiferromagnetic resonance in NiO

Zhe Wang, S. Kovalev, N. Awari +7

We report on measurements of magnetic field and temperature dependence of antiferromagnetic resonances in the prototypical antiferromagnet NiO. The frequencies of the magnetic reso…

cond-mat.mtrl-sci2018

AFLOW-CHULL: Cloud-oriented platform for autonomous phase stability analysis

Corey Oses, Eric Gossett, David Hicks +10

prediction of phase stability of materials is a challenging practice, requiring knowledge of all energetically-competing structures at formation conditions. Lar…

cond-mat.mtrl-sci2018★ 13 cited

Analysis of Topological Transitions in Two-dimensional Materials by Compressed Sensing

Carlos Mera Acosta, Runhai Ouyang, Adalberto Fazzio +3

Quantum spin-Hall insulators (QSHIs), i.e., two-dimensional topological insulators (TIs) with a symmetry-protected band inversion, have attracted considerable scientific interest i…

cond-mat.mtrl-sci2018★ 31 cited

Ultrafast relaxation dynamics of the antiferrodistortive phase in Ca doped SrTiO3

M. Porer, M. Fechner, E. Bothschafter +19

The ultrafast dynamics of the octahedral rotation in Ca:SrTiO3 is studied by time resolved x-ray diffraction after photo excitation over the band gap. By monitoring the diffraction…

cond-mat.mtrl-sci2018★ 120 cited

Terahertz spectroscopy for all-optical spintronic characterization of the spin-Hall-effect metals Pt, W and CuIr

Tom Sebastian Seifert, Ngoc Minh Tran, Oliver Gueckstock +9

Identifying materials with an efficient spin-to-charge conversion is crucial for future spintronic applications. The spin Hall effect is a central mechanism as it allows for the in…

cond-mat.mtrl-sci2018★ 9 cited

Structure and electronic properties of transition-metal/Mg bimetallic clusters at realistic temperatures and oxygen partial pressures

Shikha Saini, Debalaya Sarker, Pooja Basera +3

Composition, atomic structure, and electronic properties of TMMgO clusters (TM = Cr, Ni, Fe, Co, ) at realistic temperature and partial oxygen pressure…

cond-mat.mtrl-sci2018

Spinodal superlattices of topological insulators

Demet Usanmaz, Pinku Nath, Cormac Toher +5

Spinodal decomposition is proposed for stabilizing self-assembled interfaces between topological insulators (TIs) by combining layers of iso-structural and iso-valent TlBi ($X…

cond-mat.mtrl-sci2018★ 50 cited

All-Electron, Real-Space Perturbation Theory for Homogeneous Electric Fields: Theory, Implementation, and Application within DFT

Honghui Shang, Nathaniel Raimbault, Patrick Rinke +3

Within density-functional theory, perturbation theory~(PT) is the state-of-the-art formalism for assessing the response to homogeneous electric fields and the associated material p…

cond-mat.mtrl-sci2018★ 1 cited

AFLOW-SYM: Platform for the complete, automatic and self-consistent symmetry analysis of crystals

David Hicks, Corey Oses, Eric Gossett +6

Determination of the symmetry profile of structures is a persistent challenge in materials science. Results often vary amongst standard packages, hindering autonomous materials dev…