Formal sciences

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Formal sciences

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Machine learning models for prediction of electrochemical properties in supercapacitor electrodes using MXene and graphene nanoplatelets

Robust Data-Driven Controller Design with Finite Frequency Samples

Learning to Remove Cuts in Integer Linear Programming

Augmenting locomotor perception by remapping tactile foot sensation to the back

Dynamical simulation via quantum machine learning with provable generalization

Towards an Understanding of Hydraulic Sensitivity: Graph Theory Contributions to Water Distribution Analysis

Health Prediction for Lithium-Ion Batteries Under Unseen Working Conditions

Probabilistic and Deterministic Wellposedness for Low Regularity Dispersive Equations

Recovering Static and Time-Varying Communities Using Persistent Edges

Augmented Memory: Sample-Efficient Generative Molecular Design with Reinforcement Learning