Top Tweets for #CompChem
End-to-End Learning from Experimental Data: Integrating the PC-SAFT Equation of State into Neural Networks Training for Improved Polymer Parameter Estimation #machinelearning #compchem https://t.co/adYE23yFRf
I am super excited to announce that I passed my doctoral candidacy examinations! ✅️
Infinite thanks to my advisor, mentors, family, and friends✨️
I'm officially a Ph.D. Candidate🤓
#Doctor2be #CompChem #WomeninSTEM #LatinainSTEM #UNT
Drug Design and Discovery: The Long Road From Hansch Analysis to Artificial Intelligence #machinelearning #compchem https://t.co/NgkP7hSVDi
JAI: Physically Constrained Prediction of Conformer-Averaged Proton–Proton Coupling Constants in Solution #machinelearning #compchem https://t.co/qNLRwhMOTm
Discovering formally verified quantum programs with AI #machinelearning #compchem https://t.co/JruRWHotmj
Curvature Rebuilt d-Orbital Energy Levels of TM@g-C6N6 Nanotubes for Water-Splitting Enhancement #machinelearning #compchem https://t.co/QZRMItyaaD
Machine-Learning Dynamics of Redox-Active Materials: Polaron Diffusion on the TiO2(110) Surface #machinelearning #compchem https://t.co/0OdbeCGyvs
Fortuitous Cancellation of Competing Effects in the Free Energy of Water Autoionization: Long-Range Electrostatics, System Size, and Nuclear Quantum Effects #machinelearning #compchem https://t.co/rdlVymTCa3
Accelerating CO2 Biocatalysis through Multimodal AI-Guided Enzyme Prioritization and Spatial Confinement #machinelearning #compchem https://t.co/MFR4oJMJIN
BFEE3: An AI-Assisted, Feature-Rich, and Streamlined Platform for Absolute Binding Free Energy Calculations #machinelearning #compchem https://t.co/DicjYEB0Yz
Ancestral Sequence Reconstruction as an Emerging Strategy for AI-Integrated Enzyme Engineering #machinelearning #compchem https://t.co/BRdrIlLsW8
Applications of Machine Learning-Assisted MALDI-TOF Mass Spectrometry in Clinical Bacterial Analysis: Research Progress and Clinical Translation #machinelearning #compchem https://t.co/JfnV4n4YGy
Machine learning-assisted prediction of emission energies in radical luminescent materials #machinelearning #compchem https://t.co/eU4ccF0tF6
Multi-criteria drug ranking for prostate cancer using graph-theoretic descriptors and fuzzy machine learning with MARCOS decision analysis #machinelearning #compchem https://t.co/tGC82g5M0D
Opportunity in predictive molecule design at Bristol Myers Squibb (Cambridge Crossing MA USA) #CADD #CompChem #cheminformatics #ML #ChemJobs https://t.co/l4Y4KIMjgh
Unveiling the Phase Transformation Mechanism in BN from Large-Scale Machine Learning Molecular Dynamics #machinelearning #compchem https://t.co/WYoHAN7DAh
DeepGCN-FP: An Explainable Transfer Learning Approach to Predict Adduct Ion Formation for Enhanced Metabolite Annotation in Spatial Metabolomics #machinelearning #compchem https://t.co/ZcGYNAxR0P
Comparative QSAR Study of Aquatic Toxicity Prediction Using Molecular Descriptors and Fingerprints with Machine Learning #machinelearning #compchem https://t.co/d5frBgciRs
Multiscale Prediction of Thermodynamic Properties of Supercritical Aqueous Sodium Sulfide Using Synchrotron Experiments, Atomistic Simulations, and Artificial Neural Networks #machinelearning #compchem https://t.co/Nde2pjgMd9
Automated Tariff Classification of Organic Chemicals Using Molecular Fingerprints and Interpretable Structural Features #machinelearning #compchem https://t.co/A1OABEXdcB
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