output
19972025
most citedThe 2MASS Redshift Survey - Description and Data Release

741 citations

22 papers

cond-mat.stat-mech2025

FreeBird.jl: An Extensible Toolbox for Simulating Interfacial Phase Equilibria

Ray Yang, Junchi Chen, Douglas Thibodeaux +1

We present FreeBird, an extensible Julia-based platform for computational studies of phase equilibria at generic interfaces. The package supports a range of system configurations,…

math.OC2023★ 28 cited

A computationally efficient Benders decomposition for energy systems planning problems with detailed operations and time-coupling constraints

Anna Jacobson, Filippo Pecci, Nestor Sepulveda +2

Energy systems planning models identify least-cost strategies for expansion and operation of energy systems and provide decision support for investment, planning, regulation, and p…

cs.CV2023★ 45 cited

Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin

Leikun Yin, Rahul Ghosh, Chenxi Lin +9

Cashews are grown by over 3 million smallholders in more than 40 countries worldwide as a principal source of income. As the third largest cashew producer in Africa, Benin has near…

physics.med-ph2019★ 10 cited

Lattice Boltzmann method for simulation of diffusion magnetic resonance imaging physics in multiphase tissue models

Noel M. Naughton, Caroline G. Tennyson, John G. Georgiadis

We report an implementation of the lattice Boltzmann method (LBM) to integrate the Bloch-Torrey equation, which describes the evolution of the transverse magnetization vector and t…

stat.ML2019★ 12 cited

Bayesian Optimisation over Multiple Continuous and Categorical Inputs

Binxin Ru, Ahsan S. Alvi, Vu Nguyen +2

Efficient optimisation of black-box problems that comprise both continuous and categorical inputs is important, yet poses significant challenges. We propose a new approach, Continu…

stat.ML2019★ 19 cited

Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation

Ahsan S. Alvi, Binxin Ru, Jan Calliess +2

Batch Bayesian optimisation (BO) has been successfully applied to hyperparameter tuning using parallel computing, but it is wasteful of resources: workers that complete jobs ahead…