Richard G. Hennig

University of Florida — United States

Materials Science · Physical Sciences

63h-index15.5kcitations395works4.42yr avg
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Research Topics

2D Materials and Applications(57), Machine Learning in Materials Science(48), Graphene research and applications(30), Advanced Chemical Physics Studies(27), MXene and MAX Phase Materials(27)

Publications395 total

Electronic reconstruction and interface engineering of emergent spin fluctuations in compressively strained <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mi>La</mml:mi> <mml:mn>3</mml:mn> </mml:msub> <mml:msub> <mml:mi>Ni</mml:mi> <mml:mn>2</mml:mn> </mml:msub> <mml:msub> <mml:mi mathvariant="normal">O</mml:mi> <mml:mn>7</mml:mn> </mml:msub> </mml:mrow> </mml:math> on <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>SrLaAlO</mml:mi> <mml:mn>4</mml:mn> </mml:msub> </mml:math> (001)
Physical review. B./Physical review. B·2026
Divergent Fluctuations from an Infrared 2D-Mode Catastrophe
arXiv (Cornell University)·2026Open Access
Divergent Fluctuations from an Infrared 2D-Mode Catastrophe
ArXiv.org·2026Open Access
Kinetics of Monolayer and Bilayer Graphene Nano-Ribbon Formation on 3C-SiC: Influence of Substrate Geometry and Growth Conditions
SSRN Electronic Journal·2026Open Access
Machine-learning interatomic potential for AlN for epitaxial simulation
Computational Materials Science·2025
MolGuidance: Advanced Guidance Strategies for Conditional Molecular Generation with Flow Matching
arXiv (Cornell University)·2025Open Access
Effect of Magneto-Mechanical Synergism in the Process-Structure Correlation in Fe-C Alloys: A Phase-Field Modeling Approach
arXiv (Cornell University)·2025Open Access
Machine-learning interatomic potential for AlN for epitaxial simulation
arXiv (Cornell University)·2025Open Access
Guided Diffusion for the Discovery of New Superconductors
arXiv (Cornell University)·2025Open Access
Fermi surface reconstruction and enhanced spin fluctuations in strained <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>La</mml:mi><mml:mn>3</mml:mn></mml:msub><mml:msub><mml:mi>Ni</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn>7</mml:mn></mml:msub></mml:mrow></mml:math> on <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi>LaAlO</mml:mi><mml:mn>3</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:mn>001</mml:mn><mml:mo>)</mml:mo></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi>SrTiO</mml:mi><mml:mn>3</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:mn>001</mml:mn><mml:mo>)</mml:mo></mml:math>
Physical review. B./Physical review. B·2025· 1 cited
All that structure matches does not glitter
arXiv (Cornell University)·2025· 1 citedOpen Access
Unraveling fundamental mechanisms of silicon nitride crystallization in microelectronics manufacturing
2025Open Access
Data Curation to Develop Machine Learning Models for Assessing the Toxicity of Nanoparticles
KONA Powder and Particle Journal·2025· 1 citedOpen Access
PropMolFlow: Property-Guided Molecule Generation with Geometry-Complete Flow Matching
arXiv (Cornell University)·2025· 1 citedOpen Access
When more data hurts: Optimizing data coverage while mitigating diversity-induced underfitting in an ultrafast machine-learned potential
Physical Review Materials·2025· 3 citedOpen Access
Discovery of Spin-Crossover Materials with Equivariant Graph Neural Networks and Relevance-Based Classification
Journal of Chemical Theory and Computation·2025· 1 cited
Developing a Complete AI-Accelerated Workflow for Superconductor Discovery
arXiv (Cornell University)·2025Open Access
Electronic reconstruction and interface engineering of emergent spin fluctuations in compressively strained La$_3$Ni$_2$O$_7$ on SrLaAlO$_4$(001)
arXiv (Cornell University)·2025Open Access
Open Materials Generation with Stochastic Interpolants
arXiv (Cornell University)·2025· 2 citedOpen Access
Diffusion coefficients predicting facet-dependent crystallization in amorphous silicon nitride
Physical review. B./Physical review. B·2025· 4 citedOpen Access
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Frequent Co-authors

Houlong Zhuang(19), Arunima K. Singh(9), Michael Ashton(8), Susan B. Sinnott(8), Kiran Mathew(6), John W. Wilkins(5), Clive Bealing(4), Dallas R. Trinkle(4), Don‐Hyung Ha(4), Richard D. Robinson(4), Michael Blonsky(3), Liane M. Moreau(3), C. J. Umrigar(2), David A. Muller(2), Jiwoong Park(2), Joshua T. Paul(2), Lin Ma(2), Shuya Wei(2), Kenville E. Hendrickson(2), Lynden A. Archer(2)