Steven A. Lopez

Northeastern University — United States

Materials Science · Physical Sciences

25h-index2.3kcitations171works2.52yr avg
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Research Topics

Photochromic and Fluorescence Chemistry(25), Machine Learning in Materials Science(25), Crystallization and Solubility Studies(23), X-ray Diffraction in Crystallography(23), Radical Photochemical Reactions(21)

Publications171 total

Understanding the photochemistry of a crystalline push-pull norbornadiene photoswitch
2025
Structure–Property–Performance Relationships of Tetra-Alkylated Phenazine Photoredox Catalysts in Organocatalyzed Atom Transfer Radical Polymerization
Macromolecules·2025· 1 cited
Machine learning photodynamics reveal competing inversion paths of methylated cyclooctatetrathiophene
2025
Understanding the origin of stereoselectivity in the photochemical denitrogenation of 2,3-diazabicyclo[2.2.1]heptene and its derivatives with non-adiabatic molecular dynamics
Beilstein Journal of Organic Chemistry·2025Open Access
Author response for "A Fragment Based Approach Towards Curating, Comparing and Developing Machine Learning Models Applied in Photochemistry"
2025
Árboles utilizados en sistemas de ganadería en la sierra norte de Puebla
Avances en Investigación Agropecuaria·2025Open Access
Benchmarking Density Functionals for Ground- and Excited-State Reduction and Oxidation Potentials of Organic Photoredox Catalysts
The Journal of Physical Chemistry A·2025· 2 citedOpen Access
Author response for "Machine learning photodynamics reveal intersystem-crossing-driven ladderdiene ring opening"
2025
Cyclobutane-linked Nanothreads through Thermal and Photochemically Mediated Polymerization of Cyclohexadiene
2025· 1 citedOpen Access
Understanding the origin of stereoselectivity in the photochemical denitrogenation of 2,3-diazabicyclo[2.2.1]heptene and its derivatives with non-adiabatic molecular dynamics
2025· 1 citedOpen Access
Understanding the origin of stereoselectivity in the photochemical denitrogenation of 2,3-diazabicyclo[2.2.1]heptene and its derivatives with non-adiabatic molecular dynamics
2025Open Access
Diversification of acridinium photocatalysts: Property tuning and reactivity in model reactions
Tetrahedron Letters·2025· 2 citedOpen Access
Author response for "Machine learning photodynamics reveal intersystem-crossing-driven ladderdiene ring opening"
2025
Machine learning photodynamics decode multiple singlet fission channels in pentacene crystal
Nature Communications·2025· 12 citedOpen Access
Machine learning photodynamics reveal intersystem-crossing-driven ladderdiene ring opening
Chemical Science·2025Open Access
A fragment based approach towards curating, comparing and developing machine learning models applied in photochemistry
Chemical Science·2025Open Access
Cyclobutane-linked nanothreads through thermal and photochemically mediated polymerization of cyclohexadiene
Polymer Chemistry·2025· 1 citedOpen Access
Machine learning for nonadiabatic molecular dynamics: best practices and recent progress
Chemical Science·2025· 6 citedOpen Access
Cyclobutane-linked Nanothreads through Thermal and Photochemically Mediated Polymerization of Cyclohexadiene
2024
Machine learning photodynamics uncover blocked non-radiative mechanisms in aggregation-induced emission
Chem·2024· 26 cited
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Frequent Co-authors

K. N. Houk(14), Jingbai Li(11), Jordan M. Cox(6), Alán Aspuru‐Guzik(5), Daniel Adrion(5), Janice B. Lin(3), Benjamín Sánchez-Lengeling(2), Julio de Goes Soares(2), Nathalie Myrthil(2), Yong Liang(2), Benjamin R. Boswell(2), Noah Z. Burns(2), Pascal Friederich(2), Rachel Stein(2), Olivia A. Erickson(2), Rebecca B. Cole(2), Jared M. Isaacs(2), Silvia Álvarez-Clare(2), Jonathan Arnold(2), Allison Augustus‐Wallace(2)