Anat Milo

Ben-Gurion University of the Negev — Israel

Materials Science · Physical Sciences

17h-index1.8kcitations62works1.62yr avg
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Research Topics

Machine Learning in Materials Science(17), Asymmetric Hydrogenation and Catalysis(14), Computational Drug Discovery Methods(13), Chemical Synthesis and Analysis(8), Catalytic Cross-Coupling Reactions(6)

Publications62 total

Charting the influence of deuterium sources in hydrogen isotope exchange using a cobalt(III) catalytic platform
Nature Catalysis·2025· 1 citedOpen Access
Introduction: Weak Interactions in Chemistry and Biology
Chemical Reviews·2025· 2 cited
Enhanced Reactivity and Selectivity in Organocatalysis via In-Situ Proline-Boronic Acid Complex Modification
2025Open Access
Can crystalline polymorphism be predicted from single-molecule properties?
2025Open Access
Detecting polymorphism in molecular crystalsfrom single-molecule properties
2025Open Access
A Survey of Molecular Representation Learning: From Single Modalities to Foundation Models
2025Open Access
Author response for "Data efficient molecular image representation learning using foundation models"
2025
Author response for "Data efficient molecular image representation learning using foundation models"
2025
Designing Target-specific Data Sets for Regioselectivity Predictions on Complex Substrates
Journal of the American Chemical Society·2025· 6 citedOpen Access
Probability Guided Chemical Reaction Scopes
2025· 1 citedOpen Access
Data Efficient Molecular Image Representation Learning using Foundation Models
2025Open Access
Probability Guided Chemical Reaction Scopes
SSRN Electronic Journal·2025Open Access
Data efficient molecular image representation learning using foundation models
Chemical Science·2025· 2 citedOpen Access
Designing Target-Specific Datasets for Regioselectivity Predictions on Complex Substrates
2024· 1 citedOpen Access
Tailoring Datasets for Regioselectivity Predictions on Complex Substrates
2024· 1 citedOpen Access
Biofilm Spatial Monitoring By Multiple Electrochemical Techniques Integrated with Optical Microscopy and a Microfluidic Device
ECS Meeting Abstracts·2024
Using quantum transport networks for classification: A path toward quantum computing for machine learning
Physical Review Applied·2024· 2 cited
Nickel-Catalyzed α-Arylation of α-Cyanoacetates Enabled by Electrochemistry
Dian hua xue/Dian huaxue·2024Open Access
Erratum - Designing the Secondary Coordination Sphere in Small-Molecule Catalysis
Synlett·2024· 1 citedOpen Access
A focus on molecular representation learning for the prediction of chemical properties
Chemical Science·2024· 15 citedOpen Access
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Frequent Co-authors

Matthew S. Sigman(7), Santosh C. Gadekar(7), Inbal L. Zak(7), Mónica H. Pérez‐Temprano(7), V. Dhayalan(6), Zayed Alassad(6), Meital Shema Mizrachi(6), Yonatan Harnik(6), Inbal L. Eshel(5), Ashim Nandi(5), Sebastian Kozuch(5), Shahar Barkai(5), Danilo M. Lustosa(4), Hadas Shalit Peleg(4), Sergio Barranco(4), Ronny Neumann(3), Jules Schleinitz(3), Alba Carretero‐Cerdán(3), Anjali Gurajapu(3), Gina Lee(3)