Aaron Stanton

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Improving physical realism, stereochemistry, and side‐chain accuracy in homology modeling: Four approaches that performed well in CASP8

High-resolution structure prediction and the crystallographic phase problem

PARTITIONING DIVERSITY INTO INDEPENDENT ALPHA AND BETA COMPONENTS

Quantum coherence and entanglement in the avian compass

Probing Protein Fold Space with a Simplified Model

Conformational Optimization with Natural Degrees of Freedom: A Novel Stochastic Chain Closure Algorithm

Crystal structure prediction via particle-swarm optimization

Biogeography-Based Optimization

Noncovalent Interactions:  A Challenge for Experiment and Theory

Modeling and design by hierarchical natural moves

A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends

Particle Swarm Optimization

Uncertainty Quantification for Nonconvex Tensor Completion: Confidence Intervals, Heteroscedasticity and Optimality

Global Optimization of Clusters, Crystals, and Biomolecules

Teaching–learning-based optimization: A novel method for constrained mechanical design optimization problems

The Radical-Pair Mechanism of Magnetoreception

The role of constraints within generalized nonextensive statistics

Tensor completion based on nuclear norm minimization for 5D seismic data reconstruction

Pivot method for global optimization

A new approach to global minimization

Comparison study of pivot methods for global optimization