Carlos H. Borca
Georgia Institute of Technology(US)Princeton University(US)
Publications by Year
Research Areas
Machine Learning in Materials Science, Advanced Chemical Physics Studies, Drug Solubulity and Delivery Systems, Atmospheric chemistry and aerosols, Computational Drug Discovery Methods
Most-Cited Works
- → Machine Learning on a Robotic Platform for the Design of Polymer–Protein Hybrids(2022)169 cited
- → Featurization strategies for polymer sequence or composition design by machine learning(2022)95 cited
- → The acid-catalyzed hydrolysis of an α -pinene-derived organic nitrate: kinetics, products, reaction mechanisms, and atmospheric impact(2016)77 cited
- → Machine‐Assisted Discovery of Chondroitinase ABC Complexes toward Sustained Neural Regeneration(2022)71 cited
- → A Comparison of the Crystallization Inhibition Properties of Bile Salts(2016)54 cited
- → Mechanistic Design of Chemically Diverse Polymers with Applications in Oral Drug Delivery(2016)53 cited
- → Quantum Chemistry Common Driver and Databases (QCDB) and Quantum Chemistry Engine (QCEngine): Automation and interoperability among computational chemistry programs(2021)42 cited
- → Photochemical degradation of isoprene-derived 4,1-nitrooxy enal(2016)36 cited
- → Crystallization Inhibition Properties of Cellulose Esters and Ethers for a Group of Chemically Diverse Drugs: Experimental and Computational Insight(2018)28 cited
- → CrystaLattE: Automated computation of lattice energies of organic crystals exploiting the many-body expansion to achieve dual-level parallelism(2019)26 cited