Brad D. Malone - Concepedia

Author

Brad D. Malone

Lawrence Berkeley National Laboratory

Also Known As

B. D. Malone, Brad D Malone, Brad D. Malone, Brad Malone

Publications

2.4K

Citations

H-Index

Concepts

All Affiliations

Lawrence Berkeley National Laboratory University of California, Berkeley Material Sciences (United States)Harvard University Australian National University

About

Brad D. Malone is an author at Lawrence Berkeley National Laboratory specializing in engineering, applied physics, and physics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	19	19	1.8K
2	Applied Physics	18	18	1.8K
3	Natural Sciences	7	7	800
4	Chemistry	2	2	373
5	Data Science	2	2	126

Brad D. Malone

Publications

2.3K

Citations

H-Index

Page 1

	Year	Citations
EPW: A program for calculating the electron–phonon coupling using maximally localized Wannier functions Jesse Noffsinger, Feliciano Giustino, Brad D. Malone, Computer Physics Communications Quantum ScienceCharge ExcitationsEngineeringPhysicsNatural Sciences	2010	460
Identifying Structural Flow Defects in Disordered Solids Using Machine-Learning Methods Ekin D. Cubuk, Samuel S. Schoenholz, Jennifer M. Rieser, Physical Review Letters	2015	428
Multiply folded graphene Kwanpyo Kim, Zonghoon Lee, Brad D. Malone, Physical Review B Materials ScienceGraphene NanomeshesNanosheetEngineeringGraphene Synthesis	2011	313
Optoelectronic properties of single-layer, double-layer, and bulk tin sulfide: A theoretical study Georgios A. Tritsaris, Brad D. Malone, Efthimios Kaxiras Journal of Applied Physics Bulk Tin SulfideEngineeringTwo-dimensional MaterialsOptoelectronic DevicesBulk Sns	2013	151
<i>Ab initio</i>survey of the electronic structure of tetrahedrally bonded phases of silicon Brad D. Malone, Jay D. Sau, Marvin L. Cohen Physical Review B Materials ScienceEngineeringPhysicsElectronic StatesNatural Sciences	2008	142
First principles study of point defects in SnS Brad D. Malone, Ádám Gali, Efthimios Kaxiras Physical Chemistry Chemical Physics Ii-vi SemiconductorPhotovoltaic CellsElectrical EngineeringPoint DefectsEngineering	2014	102
Application of Machine Learning Methodologies for Predicting Corn Economic Optimal Nitrogen Rate Zhisheng Qin, D. Brenton Myers, Curtis J. Ransom, Agronomy Journal Precision AgricultureEnvironmental MonitoringMachine LearningHydrological PredictionEngineering	2018	78
Implanted neural network potentials: Application to Li-Si alloys Berk Onat, Ekin D. Cubuk, Brad D. Malone, Physical review. B./Physical review. B EngineeringMachine LearningMaterial SimulationRecurrent Neural NetworkNeural Network Potentials	2018	77
<i>Ab initio</i>study of the optical properties of Si-XII Brad D. Malone, Jay D. Sau, Marvin L. Cohen Physical Review B Ii-vi SemiconductorPhotonicsSpectroscopic PropertyOptical MaterialsEngineering	2008	76
Quasiparticle band structures and interface physics of SnS and GeS Brad D. Malone, Efthimios Kaxiras Physical Review B Materials ScienceIi-vi SemiconductorElectrical EngineeringEngineeringInterface Physics	2013	70

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