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https://github.com/MartinsAwojide/Process-System-Engineering-Catalogue

Catalogue of Articles, Projects, Papers and Resources relating to PSE
https://github.com/MartinsAwojide/Process-System-Engineering-Catalogue

cloud-computing computing control-systems edge-computing industrial-engineering operations-research optimization optimization-algorithms process-systems-engineering scada six-sigma system-programming systems technology

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Catalogue of Articles, Projects, Papers and Resources relating to PSE

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# Process System Engineering Catalogue
*Catalogue of Articles, Projects, Papers and Resources relating to PSE Theory and Applications "**in the wild**"*
> Purely a personal project!

# Papers

## Mathematical Modelling and Computational Theory

Modelling and Simulation

| Description | Source | Time of Publication | Keywords |
| :--- | :---:|---:|:---: |
|[Deep kernel learning approach to engine emissions modeling](https://www.cambridge.org/core/services/aop-cambridge-core/content/view/638332CFF08E18BCD55D6ACC75BB3B28/S2632673620000040a.pdf/deep-kernel-learning-approach-to-engine-emissions-modeling.pdf)|Data-Centric Engineering|May 2020|Deep kernel learning; emissions; surrogate models; Gaussian processes; internal combustion engines|
|[Dynamic Data-Driven Modeling of Pharmaceutical Processes](https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.221.6152&rep=rep1&type=pdf)|Industrial & Engineering Chemistry Research|April 2011|Kriging, Dynamic Neural Network, DoE|
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Computational Benchmarking

| Description | Source | Time of Publication | Keywords |
| :--- | :---:|---:|:---: |
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Optimization

| Description | Source | Time of Publication | Keywords |
| :--- | :---:|---:|:---: |
|[Game theory-based renewable multi-energy system design and subsidy strategy optimization](https://reader.elsevier.com/reader/sd/pii/S2666792421000172?token=3519BCBA98C9AF6F14E9873B82F62EDF4FBB3BA4365DF35CC5C9838A813A73F0E8A088109D278B0DCAB77686ED9C7242&originRegion=eu-west-1&originCreation=20211227015718)|Advances in Applied Energy|March 2021|Multi-Energy System, Renewable Energy, Game Theory, Subsidy Strategy, Decarbonization|
|[Optimal Design of Energy Systems Using Constrained Grey-Box Multi-Objective Optimization](https://pdf.sciencedirectassets.com/271414/1-s2.0-S0098135418X00076/1-s2.0-S009813541830084X/am.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjECwaCXVzLWVhc3QtMSJIMEYCIQCWL%2FqbRp2DeuhQRlkBxV12%2B%2BteobIEdalyf%2Bl6O4h1WgIhAIXALkHUb2OmHLfWtYlLTo03QGVaf7BlbBF3gq7vaZsNKvoDCDUQBBoMMDU5MDAzNTQ2ODY1Igw1uANrm0YmDCsPqiQq1wOEdmVSeA4WJsNvvCyERkvdMaWU5dbF2%2BHW14JUUz6TqJDqOdLTsepuNvxJpRpdqTTo%2BOm2r%2BOX6d0phv0wGdFyhMxuZzExhwvxZZn7xMtCZ0X2zbNSflNvksh1bUBnhkTvhn5QRKb1tpvCZBlt8Y0gfSzk%2Bv4KQ6vlvC7SRngaC%2BCPIQUqqj%2F%2Fx1T0UHQieOEn4eAb3D45ANODmAbXYpDC4a1DffoF6jYMT0rHL1mSXn8Y51wXzwKGW3EDQdPJuma54mwe4cmf11%2Fzfxnn1tqjU7aKiYr4sLlvdKz6Q1SHgZwTlP0uDkvhzfz2SmZNMxUdo14fcRPh09AFyv%2Fajzqk9icps637Y8i6IJcGGN1Ea2fkdFBEPGnHTJmlXG68VDROshpn0QnWHx8TrX6eJ5PwEoAyvhPAV7RQhgHeH1gjwaYBNwC9Lsle%2FeS6gzFT5iPLFJBz1Awujc5KGw%2B8niIfXNin5vXeB85Z7NGxcG8ZSiNLt3eryEycGd1WHw3oIQ5RavS0qpGwm0SUn05eoe8xt5CkQusQXGO2JEEfZcWa9WO%2FNi78%2BRZmfU%2FbOLbV0CcLfMWUqjZ1bs%2B%2Bw5HNKpaF6xBjWycvYr4SsZ1bl%2FcvwVQQrJ%2BZeqQw1ODCjgY6pAFRR0dzfDcD67YqCjz3yggKF3YLBK08YMcEQ5rFDBDyveAuzafc279vneC3qp5VuPzZ7rAiis9lUm23fgLF%2FjtGTw2mPF%2B1ZK2QAW7LuJaft6PhZamFqiqaStrOHs2kyrUoQjiPGh8uP83SMl9qlR1ikj84taG1bUIYE523N5KOy4TMG6o34aCMZOtiRbzTe%2Bd3%2FPZOK4r2wLYZXbJ8jrlWscVc0A%3D%3D&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20220101T203949Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTYWFHTOV36%2F20220101%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=215604adbf60ccc7f59bd9ef7923fc49d4c570365a9763b96221369a65ec6ba4&hash=5f0efbc175a86bc124cecaea95c2a649d73c9cc020be638c837d7b2a8f0c0ebb&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S009813541830084X&tid=pdf-442e3ddf-4991-44e0-84e5-3f140d01b4b8&sid=0679eee4400cc443ce6baf99f32e1fc99ea2gxrqb&type=client)||2018|Derivative-free optimization; Grey/black-box optimization; Multi-objective optimization; Energy systems engineering|
|[Global Optimization Advances in Mixed-Integer Nonlinear Programming, MINLP, and Constrained Derivative-Free Optimization, CDFO](https://pdf.sciencedirectassets.com/271700/1-s2.0-S0377221716X00070/1-s2.0-S037722171501142X/Fani_Boukouvala_Deterministic_Global_Optimization_2015.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEC0aCXVzLWVhc3QtMSJHMEUCIQC%2Fgdzy%2BJsYsAlr44V%2F%2FHrESzAkYGqhsqgnZCnUAHqkJQIgf8rmxge%2Bv1gzYUaR0vP2ESgd%2B6ShX86xB2BfGcD7fz8q%2BgMINRAEGgwwNTkwMDM1NDY4NjUiDM%2BBHzYZWOVfxjkBsirXA%2F8jq9NakJe5qFw2t12h6Kk1oFFNFrFNYPSB6rapjSsq83867o4lVZixX%2B8VuwPw1ldw2yu%2BTxHb8kIHu0eQal0yETTMAqq43c2yHFtsxDaamSoxV9NKkt%2Fnd22DFF2URb7CaztB7%2BLGGu%2Ffup4L5v78MzwRg0XFh4I8e%2B4nsDCkBfuWDqjKMf7bG3zOs3Rg2z8a89OZvZLqtWYzKiBHx9iUOuEKvcA%2FnWDjdmyfzgu67MVba%2FNYwxcfoZ2bZAc9yiXJGrEVAVihiDGukhUrn2hri9XQ4L4mfheGN08aRuMJwLnmhEmM3A2uAJ0bI5mNotvSwqCjWiGjVC2kCltwR259dZIqifH7%2F9aZ%2Br6JVCxGm%2B3SWZhoBogJ2k1Vgm4WTO2KXcSVox7CQZsM39kUUCq6lwIhCCCMUIPMSyqAh9wfMCDgTbaKv7fjbMjiowE%2BVwi46sBxG%2FNsM0iuSWyEOO2B%2BAaJULHytNYD%2BWUb17%2FW9qf%2BOvIYBPn6q%2FwF%2FpxnSq50DyogFdwwPrylRLypsjfiuxfzizss1ZYYgQDFZ7iBVoctU2J3Bio%2BGIsBZzQuDOLThFc58t2szkQzGxcNXhe%2BWGTzHajNjO%2BWR3Bxk3TCGYGjujk9KDC47sKOBjqlAZgAIDfuiAMb6QlTe0CGA9MqpGwsPPPVb7A1oZg3PpZZbeXBPje0wK2rMz35zGM14M0g52Hmp79vVrsSO8KcrSDdkZLIy3%2BlanQVTQ5PtVm4nFopaz2SbMnoyR9lMI7dUcmIzja57%2BOBUOFaIgFaBOemEqUednoACvVU%2B24RAJv5U66FtA4IRfmj9fYMBx30LPExFGFD8itOKWQuoPcbiXnss5%2FyrA%3D%3D&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20220101T203950Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTYU5UAPY7T%2F20220101%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=f622ee4471602bb1a255da7777136d8fa7f8d6b4c2ab4315a6c4e61a52d77406&hash=cce88bafe82763de237c4d356b925bb2b577386c6a7215a31569746ca8ce925b&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S037722171501142X&tid=pdf-a99f1278-1ce5-4a16-b285-46c1670486ff&sid=0679eee4400cc443ce6baf99f32e1fc99ea2gxrqb&type=client)|European Journal of Operational Research|August 2015|MINLP, Deterministic Global Optimization, Derivative-Free, Black-Box, Grey-Box, Constraints|
|[Minimizing oracle-structured Composite Functions](https://web.stanford.edu/~boyd/papers/pdf/oracle_struc_composite.pdf)|Optimization and Engineering|November 2021|Composite convex optimization, First-order oracles, Structured optimization, Quasi-second-order methods and Tuning-free methods|
|[A General System for Heuristic Minimization of Convex Fuctions over Non-Convex Sets](https://stanford.edu/~boyd/papers/pdf/ncvx.pdf)|Optimization Methods & Software|March 2017|non-convex optimization, convex approximations, heuristics, alternating direction method of multipliers and modelling software|

Control

| Description | Source | Time of Publication | Keywords |
| :--- | :---:|---:|:---: |
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## Supply Chain Optimization

Logistics

| Description | Source | Time of Publication | Keywords |
| :--- | :---:|---:|:---: |
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Power & Energy

| Description | Source | Time of Publication | Keywords |
| :--- | :---:|---:|:---: |
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Agriculture

| Description | Source | Time of Publication | Keywords |
| :--- | :---:|---:|:---: |
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Construction

| Description | Source | Time of Publication | Keywords |
| :--- | :---:|---:|:---: |
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Others

| Description | Source | Time of Publication | Keywords |
| :--- | :---:|---:|:---: |
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## Industrial Applications

Process Intensification

| Description | Source | Time of Publication | Keywords |
| :--- | :---:|---:|:---: |
|[An Overview of Process Systems Engineering Approaches for Process Intensification: State of the Art](https://pdf.sciencedirectassets.com/271349/1-s2.0-S0255270118X00105/1-s2.0-S0255270118302782/am.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjECwaCXVzLWVhc3QtMSJIMEYCIQCWL%2FqbRp2DeuhQRlkBxV12%2B%2BteobIEdalyf%2Bl6O4h1WgIhAIXALkHUb2OmHLfWtYlLTo03QGVaf7BlbBF3gq7vaZsNKvoDCDUQBBoMMDU5MDAzNTQ2ODY1Igw1uANrm0YmDCsPqiQq1wOEdmVSeA4WJsNvvCyERkvdMaWU5dbF2%2BHW14JUUz6TqJDqOdLTsepuNvxJpRpdqTTo%2BOm2r%2BOX6d0phv0wGdFyhMxuZzExhwvxZZn7xMtCZ0X2zbNSflNvksh1bUBnhkTvhn5QRKb1tpvCZBlt8Y0gfSzk%2Bv4KQ6vlvC7SRngaC%2BCPIQUqqj%2F%2Fx1T0UHQieOEn4eAb3D45ANODmAbXYpDC4a1DffoF6jYMT0rHL1mSXn8Y51wXzwKGW3EDQdPJuma54mwe4cmf11%2Fzfxnn1tqjU7aKiYr4sLlvdKz6Q1SHgZwTlP0uDkvhzfz2SmZNMxUdo14fcRPh09AFyv%2Fajzqk9icps637Y8i6IJcGGN1Ea2fkdFBEPGnHTJmlXG68VDROshpn0QnWHx8TrX6eJ5PwEoAyvhPAV7RQhgHeH1gjwaYBNwC9Lsle%2FeS6gzFT5iPLFJBz1Awujc5KGw%2B8niIfXNin5vXeB85Z7NGxcG8ZSiNLt3eryEycGd1WHw3oIQ5RavS0qpGwm0SUn05eoe8xt5CkQusQXGO2JEEfZcWa9WO%2FNi78%2BRZmfU%2FbOLbV0CcLfMWUqjZ1bs%2B%2Bw5HNKpaF6xBjWycvYr4SsZ1bl%2FcvwVQQrJ%2BZeqQw1ODCjgY6pAFRR0dzfDcD67YqCjz3yggKF3YLBK08YMcEQ5rFDBDyveAuzafc279vneC3qp5VuPzZ7rAiis9lUm23fgLF%2FjtGTw2mPF%2B1ZK2QAW7LuJaft6PhZamFqiqaStrOHs2kyrUoQjiPGh8uP83SMl9qlR1ikj84taG1bUIYE523N5KOy4TMG6o34aCMZOtiRbzTe%2Bd3%2FPZOK4r2wLYZXbJ8jrlWscVc0A%3D%3D&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20220101T203955Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTYWFHTOV36%2F20220101%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=32ad87a538ddae418e83adeac37ffa531ad8469f8f8a3ca623242f25190183be&hash=2ed9e6108547acdb94590f04742413d1d12d076f0f5cb1d469f1abc834a025a3&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S0255270118302782&tid=pdf-8bdc4262-6bac-4ca8-869d-8b39f6010eed&sid=0679eee4400cc443ce6baf99f32e1fc99ea2gxrqb&type=client)||2018|Process intensification; Process Systems Engineering; Process synthesis; Process optimization; Process operability|
|[Systematic Process Intensification using Building Blocks](https://pdf.sciencedirectassets.com/271414/1-s2.0-S0098135417X00070/1-s2.0-S0098135417300534/Salih_Emre_Demirel_Process_Intensification_2017.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjECwaCXVzLWVhc3QtMSJIMEYCIQCWL%2FqbRp2DeuhQRlkBxV12%2B%2BteobIEdalyf%2Bl6O4h1WgIhAIXALkHUb2OmHLfWtYlLTo03QGVaf7BlbBF3gq7vaZsNKvoDCDUQBBoMMDU5MDAzNTQ2ODY1Igw1uANrm0YmDCsPqiQq1wOEdmVSeA4WJsNvvCyERkvdMaWU5dbF2%2BHW14JUUz6TqJDqOdLTsepuNvxJpRpdqTTo%2BOm2r%2BOX6d0phv0wGdFyhMxuZzExhwvxZZn7xMtCZ0X2zbNSflNvksh1bUBnhkTvhn5QRKb1tpvCZBlt8Y0gfSzk%2Bv4KQ6vlvC7SRngaC%2BCPIQUqqj%2F%2Fx1T0UHQieOEn4eAb3D45ANODmAbXYpDC4a1DffoF6jYMT0rHL1mSXn8Y51wXzwKGW3EDQdPJuma54mwe4cmf11%2Fzfxnn1tqjU7aKiYr4sLlvdKz6Q1SHgZwTlP0uDkvhzfz2SmZNMxUdo14fcRPh09AFyv%2Fajzqk9icps637Y8i6IJcGGN1Ea2fkdFBEPGnHTJmlXG68VDROshpn0QnWHx8TrX6eJ5PwEoAyvhPAV7RQhgHeH1gjwaYBNwC9Lsle%2FeS6gzFT5iPLFJBz1Awujc5KGw%2B8niIfXNin5vXeB85Z7NGxcG8ZSiNLt3eryEycGd1WHw3oIQ5RavS0qpGwm0SUn05eoe8xt5CkQusQXGO2JEEfZcWa9WO%2FNi78%2BRZmfU%2FbOLbV0CcLfMWUqjZ1bs%2B%2Bw5HNKpaF6xBjWycvYr4SsZ1bl%2FcvwVQQrJ%2BZeqQw1ODCjgY6pAFRR0dzfDcD67YqCjz3yggKF3YLBK08YMcEQ5rFDBDyveAuzafc279vneC3qp5VuPzZ7rAiis9lUm23fgLF%2FjtGTw2mPF%2B1ZK2QAW7LuJaft6PhZamFqiqaStrOHs2kyrUoQjiPGh8uP83SMl9qlR1ikj84taG1bUIYE523N5KOy4TMG6o34aCMZOtiRbzTe%2Bd3%2FPZOK4r2wLYZXbJ8jrlWscVc0A%3D%3D&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20220101T203953Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTYWFHTOV36%2F20220101%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=fa3f767e98110269039bcea4f7b33e3f1f102bc5ff7d7712091f46a8d66d2d14&hash=8ff1a8bdda27aa68e31e2eb14bffbfe9592647c20a4f75cbffe74c76e57d42c0&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S0098135417300534&tid=pdf-99ba113f-c8dc-42cd-9ad3-0f5e8fc5dfb4&sid=0679eee4400cc443ce6baf99f32e1fc99ea2gxrqb&type=client)||2017|Process Intensification, Process Design, Process Synthesis, Optimization, Building Blocks|
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Industry 4.0

| Description | Source | Time of Publication | Keywords |
| :--- | :---:|---:|:---: |
|[Universal Digital Twin - A Dynamic Knowledge Graph](https://www.cambridge.org/core/services/aop-cambridge-core/content/view/FD25CDFF886CD2ED33D1FDFC13F6BEAB/S2632673621000101a.pdf/universal-digital-twin-a-dynamic-knowledge-graph.pdf)|Data-Centric Engineering|June 2021|Agents; data; digital twin; dynamic knowledge graph; interoperability|
|[Semantic 3D City Database — An enabler for a dynamic geospatialknowledge graph](https://reader.elsevier.com/reader/sd/pii/S2666546821000574?token=8C63576177277D5CBB34681198DA28555445F177C633B27C9901BCB0297700D34C2237AF84341544223407C2A1538852&originRegion=eu-west-1&originCreation=20211227011657)|Energy and AI|July 2021|CityGML; Sustainability; Digitisation; Urban Planning; Semantic Web; Knowledge Graph; Ontology; Decision Support System; Artificial Intelligence; Geospatial Modelling; Geospatial Search|

Data

| Description | Source | Time of Publication | Keywords |
| :--- | :---:|---:|:---: |
|[The semantics of Chemical Markup Language (CML) for computational chemistry : CompChem](https://jcheminf.biomedcentral.com/track/pdf/10.1186/1758-2946-4-15.pdf)|Journal of Cheminformatics|June 2021|CML, XML|
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Cloud and Edge Computing

| Description | Source | Time of Publication | Keywords |
| :--- | :---:|---:|:---: |
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Decentralized Systems

| Description | Source | Time of Publication | Keywords |
| :--- | :---:|---:|:---: |
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## Operations Research and Organization Development

Operational Excellence

| Description | Source | Time of Publication | Keywords |
| :--- | :---:|---:|:---: |
|[Improvement of Tablet Coating Uniformity Using a Quality by Design Approach](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3299457/)|PubMed|March 2012|kriging, LIBS, quality by design, response surface, tablet coating|
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Decision Making Processes

| Description | Source | Time of Publication | Keywords |
| :--- | :---:|---:|:---: |
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# Articles

Optimization Articles

| Description | Source | Keywords |
| :--- | :---:|:---: |
|[Differentiable Convex Optimization Layers](https://web.stanford.edu/~boyd/papers/pdf/diff_cvxpy.pdf)|NeurIPS|Convex Optimization, PyTorch, JAX, Tensorflow|
|[Disciplined Multi-Convex Programming](https://arxiv.org/pdf/1609.03285.pdf)|ArXiv-Oct 2016||
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# Projects

# Labs

# Courses
- CHE 597: Computational Optimization, Spring 2024 [link](https://canli1.github.io/courses)
- Linear Optimization ISyE 6661, Fall 2020 [link](https://www2.isye.gatech.edu/~sdey30/CourseLinearProgramming.html)
- Convex Optimization: Fall 2019 [link](https://www.stat.cmu.edu/~ryantibs/convexopt/)
- ISE 418: Integer Programming [link](https://coral.ise.lehigh.edu/~ted/teaching/ie418/)

# Tools (Free)
- Pyomo: Python Modelling Language for structured optimization problems [Website](www.pyomo.org) [Github](https://www.github.com/Pyomo/pyomo)
- CasADi: Symbolic framework for Numeric Optimization [Website](www.casadi.org) [Github](https://www.github.com/casadi/casadi)
- GEKKO: Python for Machine Learning and Dynamic Optimization [Website](www.machinelearning.byu.edu) [Github](https://www.github.com/BYU-PRISM/GEKKO)
- JuMP: Modelling Language for Mathematical Optimization using Julia [Website](www.jump.dev) [Github](https://github.com/jump-dev/JuMP.jl)
- Convex Optimization in Python (CVXPY) [link](https://www.cvxpy.org/) [Github](https://github.com/cvxpy/cvxpy) [Discord](https://discord.gg/4urRQeGBCr)
- Embedded Conic Solver (ECOS) [Github](https://github.com/embotech/ecos)
- Python for Splitting Conic Solver (SCS) [Github](https://github.com/bodono/scs-python)
- Operator Splitting Quadratic Program Solver (OSQP) [link](https://osqp.org/) [Github](https://github.com/osqp/osqp) [Discord](https://osqp.discourse.group/)
- SnapVX: Python Network-Based Optimization Solver [link](http://snap.stanford.edu/snapvx/)
- MiniZinc for Constrained Optimization Problems [link](https://www.minizinc.org/) [Github](https://github.com/MiniZinc)
- IBM ILOG CPLEX Optimization Studio: Free Edition [link](https://www.ibm.com/account/reg/us-en/signup?formid=urx-20028)
- Oracle-Structured Minimization Python Solver [Github](https://github.com/cvxgrp/osmm)
- CVXPyLayers for PyTorch, JAX and Tensorflow [Github](https://github.com/cvxgrp/cvxpylayers/)
- Geometric Programming (GP) Kit [link](https://gpkit.readthedocs.io/en/latest/)
- Convex Optimization in R (CVXR) [link](https://cvxr.rbind.io/)
- Python Interface for Conic Optimization Solver (PICOS) [link](https://picos-api.gitlab.io/picos/)
- Python for Convex Optimzation [link](http://cvxopt.org/)

# Tools (Paid)
- GUROBI: Paid [link](https://www.gurobi.com/)
- MOSEK: Paid [link](https://www.mosek.com/)
- NextMV: Paid [link](https://www.nextmv.io/)

# Resources
- Process Systems Engineering - *The generation next?* [Article](https://www.sciencedirect.com/science/article/pii/S0098135421000302/pdfft?md5=0619826e1f1a6477a49f25bbafd0a889&pid=1-s2.0-S0098135421000302-main.pdf)
- 2040 Visions of Process Systems Engineering [YouTube Playlist](https://www.youtube.com/playlist?list=PL1Z8XsQQiN4MUNGsCZSeoT_kr9J-loncC)
- Artificial Intelligence in PSE [Video Link](https://www.youtube.com/watch?v=VFOVmEQE8y4&t=4326s)
- TinyML Catalogue [Github Repo](https://github.com/gigwegbe/tinyml-papers-and-projects)
- Black and Latinx in PSE [Spreadsheet](https://docs.google.com/spreadsheets/d/1YRKdPS9Ezc0-gi8uZVzFtOsAmlsSzK9EwFZ-IvG4rfY/edit#gid=1405385316)
- Dendral [link](https://en.wikipedia.org/wiki/Dendral)
- Opportunities - Computing & Systems Technology Division | AIChE [link](https://listserv.umd.edu/cgi-bin/wa?A1=ind2207&L=CAST10)