Общедоступные статьи - Nick SahinidisПодробнее...
8 статей недоступны нигде
Next generation multi-scale process systems engineering framework
DC Miller, JD Siirola, D Agarwal, AP Burgard, A Lee, JC Eslick, ...
Computer Aided Chemical Engineering 44, 2209-2214, 2018
Финансирование: US Department of Energy
An efficient strategy for the activation of MIP relaxations in a multicore global MINLP solver
K Zhou, MR Kılınç, X Chen, NV Sahinidis
Journal of Global Optimization 70, 497-516, 2018
Финансирование: National Natural Science Foundation of China
Learning process patterns via multiple sequence alignment
C Zheng, X Chen, T Zhang, NV Sahinidis, JJ Siirola
Computers & Chemical Engineering 159, 107676, 2022
Финансирование: National Natural Science Foundation of China
ExtractionScore: A Quantitative Framework for Evaluating Synthetic Routes on Predicted Liquid–Liquid Extraction Performance
A Kuznetsov, NV Sahinidis
Journal of Chemical Information and Modeling 61 (5), 2274-2282, 2021
Финансирование: US National Science Foundation
Backward stepwise elimination: Approximation guarantee, a batched GPU algorithm, and empirical investigation
B Sauk, NV Sahinidis
SN Computer Science 2, 1-12, 2021
Финансирование: US Department of Energy
HybridTuner: Tuning with hybrid derivative-free optimization initialization strategies
B Sauk, NV Sahinidis
International Conference on Learning and Intelligent Optimization, 379-393, 2021
Финансирование: US National Science Foundation
Hyperparameter autotuning of programs with HybridTuner
B Sauk, NV Sahinidis
Annals of Mathematics and Artificial Intelligence 91 (2), 133-151, 2023
Финансирование: US National Science Foundation, US Department of Energy
Long-Range Planning of Chemical Manufacturing Systems
S Ahmed, NV Sahinidis
Computer-Aided Design, Engineering, and Manufacturing, 1-1-1-25, 2019
Финансирование: US National Science Foundation
21 статья доступна в некоторых источниках
Derivative-free optimization: a review of algorithms and comparison of software implementations
LM Rios, NV Sahinidis
Journal of Global Optimization 56 (3), 1247-1293, 2013
Финансирование: US National Institutes of Health
A hybrid LP/NLP paradigm for global optimization relaxations
A Khajavirad, NV Sahinidis
Mathematical Programming Computation 10 (3), 383-421, 2018
Финансирование: US National Science Foundation
QPLIB: a library of quadratic programming instances
F Furini, E Traversi, P Belotti, A Frangioni, A Gleixner, N Gould, L Liberti, ...
Mathematical Programming Computation 11, 237-265, 2019
Финансирование: UK Engineering and Physical Sciences Research Council, European Commission …
GPU computing with Kaczmarz’s and other iterative algorithms for linear systems
JM Elble, NV Sahinidis, P Vouzis
Parallel computing 36 (5-6), 215-231, 2010
Финансирование: US National Institutes of Health
A global MINLP approach to symbolic regression
A Cozad, NV Sahinidis
Mathematical Programming 170, 97-119, 2018
Финансирование: US Department of Energy
Process systems engineering perspective on the design of materials and molecules
CS Adjiman, NV Sahinidis, DG Vlachos, B Bakshi, CT Maravelias, ...
Industrial & Engineering Chemistry Research 60 (14), 5194-5206, 2021
Финансирование: US Department of Energy, UK Engineering and Physical Sciences Research Council
On the impact of running intersection inequalities for globally solving polynomial optimization problems
A Del Pia, A Khajavirad, NV Sahinidis
Mathematical programming computation 12 (2), 165-191, 2020
Финансирование: US National Science Foundation
A machine learning approach to correlation development applied to fin-tube bundle heat exchangers
K Lindqvist, ZT Wilson, E Næss, NV Sahinidis
Energies 11 (12), 3450, 2018
Финансирование: Research Council of Norway
Innovative computational tools and models for the design, optimization and control of carbon capture processes
DC Miller, D Agarwal, D Bhattacharyya, J Boverhof, Y Chen, J Eslick, ...
Process Systems and Materials for CO2 Capture: Modelling, Design, Control …, 2017
Финансирование: US Department of Energy
Automated learning of chemical reaction networks
ZT Wilson, NV Sahinidis
Computers & Chemical Engineering 127, 88-98, 2019
Финансирование: US Department of Energy
Deterministic symbolic regression with derivative information: General methodology and application to equations of state
MR Engle, NV Sahinidis
AIChE Journal 68 (6), e17457, 2022
Финансирование: US Department of Energy
GPU parameter tuning for tall and skinny dense linear least squares problems
B Sauk, N Ploskas, N Sahinidis
Optimization Methods and Software 35 (3), 638-660, 2020
Финансирование: US Department of Energy
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