Year |
Citation |
Score |
2020 |
Mannodi-Kanakkithodi A, Toriyama MY, Sen FG, Davis MJ, Klie RF, Chan MKY. Machine-learned impurity level prediction for semiconductors: the example of Cd-based chalcogenides Npj Computational Materials. 6. DOI: 10.1038/s41524-020-0296-7 |
0.406 |
|
2019 |
Paulauskas T, Sen FG, Sun C, Longo P, Zhang Y, Hla SW, Chan MKY, Kim MJ, Klie RF. Stabilization of a monolayer tellurene phase at CdTe interfaces. Nanoscale. PMID 31343043 DOI: 10.1039/C9Nr02342A |
0.442 |
|
2019 |
Guo J, Mannodi-Kanakkithodi A, Sen FG, Schwenker E, Barnard ES, Munshi A, Sampath W, Chan MKY, Klie RF. Effect of selenium and chlorine co-passivation in polycrystalline CdSeTe devices Applied Physics Letters. 115: 153901. DOI: 10.1063/1.5123169 |
0.402 |
|
2019 |
Chan H, Narayanan B, Cherukara MJ, Sen FG, Sasikumar K, Gray SK, Chan MKY, Sankaranarayanan SKRS. Machine Learning Classical Interatomic Potentials for Molecular Dynamics from First-Principles Training Data The Journal of Physical Chemistry C. 123: 6941-6957. DOI: 10.1021/Acs.Jpcc.8B09917 |
0.478 |
|
2019 |
Guo J, Sen FG, Mannodi-Kannakithodi A, Barnard ES, Sampath W, Munshi A, Chan MKY, Klie RF. Study of Effects of Cl and Se in CdSeTe Solar Cells Using Scanning Transmission Electron Microscopy Microscopy and Microanalysis. 25: 2150-2151. DOI: 10.1017/S1431927619011486 |
0.568 |
|
2018 |
Chong L, Wen J, Kubal J, Sen FG, Zou J, Greeley J, Chan M, Barkholtz H, Ding W, Liu DJ. Ultralow-loading platinum-cobalt fuel cell catalysts derived from imidazolate frameworks. Science (New York, N.Y.). PMID 30409809 DOI: 10.1126/Science.Aau0630 |
0.393 |
|
2018 |
Schwenker E, Sen F, Ophus C, Paulauskas T, Guo J, Hills S, Klie R, Chan MKY. An Autonomous Microscopy Workflow for Structure Determination from Atomic-Resolution Images Microscopy and Microanalysis. 24: 510-511. DOI: 10.1017/S1431927618003045 |
0.499 |
|
2018 |
Guo J, Sen FG, Wang L, Nam S, Kim M, Chan MKY, Klie RF. Atomic-Resolution Study of Grain Boundaries in CdTe Using Scanning Transmission Electron Microscopy Microscopy and Microanalysis. 24: 102-103. DOI: 10.1017/S1431927618001009 |
0.487 |
|
2017 |
Narayanan B, Chan H, Kinaci A, Sen FG, Gray SK, Chan MKY, Sankaranarayanan SKRS. Machine learnt bond order potential to model metal-organic (Co-C) heterostructures. Nanoscale. PMID 29043353 DOI: 10.1039/C7Nr06038F |
0.741 |
|
2017 |
Li Y, Li H, Pickard FC, Narayanan B, Sen F, Chan MKY, Sankaranarayanan S, Brooks BR, Roux B. Machine Learning Force Field Parameters from Ab Initio Data. Journal of Chemical Theory and Computation. PMID 28800233 DOI: 10.1021/Acs.Jctc.7B00521 |
0.467 |
|
2017 |
Sasikumar K, Narayanan B, Cherukara M, Kinaci A, Sen FG, Gray SK, Chan MKY, Sankaranarayanan SKRS. Evolutionary Optimization of a Charge Transfer Ionic Potential Model for Ta/Ta-Oxide Heterointerfaces Chemistry of Materials. 29: 3603-3614. DOI: 10.1021/Acs.Chemmater.7B00312 |
0.698 |
|
2017 |
Weimer MS, McCarthy RF, Emery JD, Bedzyk MJ, Sen FG, Kinaci A, Chan MKY, Hock AS, Martinson ABF. Template-Free Vapor-Phase Growth of Patrónite by Atomic Layer Deposition Chemistry of Materials. 29: 2864-2873. DOI: 10.1021/Acs.Chemmater.6B05084 |
0.7 |
|
2017 |
Schwenker E, Sen F, Hills S, Pualauskas T, Sun C, Li L, Kinaci A, Letchworth-Weaver K, Kim M, Klie R, Wen J, Chan MKY. Leveraging First Principles Modeling and Machine Learning for Microscopy Data Inversion Microscopy and Microanalysis. 23: 178-179. DOI: 10.1017/S143192761700157X |
0.666 |
|
2016 |
Kinaci A, Narayanan B, Sen FG, Davis MJ, Gray SK, Sankaranarayanan SK, Chan MK. Unraveling the Planar-Globular Transition in Gold Nanoclusters through Evolutionary Search. Scientific Reports. 6: 34974. PMID 27892462 DOI: 10.1038/Srep34974 |
0.708 |
|
2016 |
Sun C, Paulauskas T, Sen FG, Lian G, Wang J, Buurma C, Chan MK, Klie RF, Kim MJ. Atomic and electronic structure of Lomer dislocations at CdTe bicrystal interface. Scientific Reports. 6: 27009. PMID 27255415 DOI: 10.1038/Srep27009 |
0.532 |
|
2016 |
Narayanan B, Sasikumar K, Mei ZG, Kinaci A, Sen FG, Davis MJ, Gray SK, Chan MKY, Sankaranarayanan SKRS. Development of a Modified Embedded Atom Force Field for Zirconium Nitride Using Multi-Objective Evolutionary Optimization Journal of Physical Chemistry C. 120: 17475-17483. DOI: 10.1021/Acs.Jpcc.6B05296 |
0.717 |
|
2016 |
Narayanan B, Kinaci A, Sen FG, Davis MJ, Gray SK, Chan MKY, Sankaranarayanan SKRS. Describing the Diverse Geometries of Gold from Nanoclusters to Bulk - A First-Principles-Based Hybrid Bond-Order Potential Journal of Physical Chemistry C. 120: 13787-13800. DOI: 10.1021/Acs.Jpcc.6B02934 |
0.695 |
|
2015 |
Buurma C, Sen FG, Paulauskas T, Sun C, Kim M, Sivananthan S, Klie RF, Chan MKY. Creation and analysis of atomic structures for CdTe bi-crystal interfaces by the grain boundary genie 2015 Ieee 42nd Photovoltaic Specialist Conference, Pvsc 2015. DOI: 10.1109/PVSC.2015.7355936 |
0.441 |
|
2015 |
Sen FG, Buurma C, Paulauskas T, Sun C, Kim M, Sivananthan S, Klie RF, Chan MKY. Atomistic simulations of grain boundaries in CdTe 2015 Ieee 42nd Photovoltaic Specialist Conference, Pvsc 2015. DOI: 10.1109/PVSC.2015.7355935 |
0.406 |
|
2015 |
Sen FG, Kinaci A, Narayanan B, Gray SK, Davis MJ, Sankaranarayanan SKRS, Chan MKY. Towards accurate prediction of catalytic activity in IrO2 nanoclusters via first principles-based variable charge force field Journal of Materials Chemistry A. 3: 18970-18982. DOI: 10.1039/C5Ta04678E |
0.712 |
|
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