Thinking the future of membranes: Perspectives for advanced and new membrane materials and manufacturing processes
The state-of-the-art of membrane technology is characterized by a number of mature
applications such as sterile filtration, hemodialysis, water purification and gas separation, as …
applications such as sterile filtration, hemodialysis, water purification and gas separation, as …
Bayesian optimization for chemical products and functional materials
K Wang, AW Dowling - Current Opinion in Chemical Engineering, 2022 - Elsevier
The design of chemical-based products and functional materials is vital to modern
technologies, yet remains expensive and slow. Artificial intelligence and machine learning …
technologies, yet remains expensive and slow. Artificial intelligence and machine learning …
Rapid fabrication by lyotropic self-assembly of thin nanofiltration membranes with uniform 1 nanometer pores
Nanostructured materials with precisely defined and water-bicontinuous 1-nm-scale pores
are highly sought after as advanced materials for next-generation nanofiltration membranes …
are highly sought after as advanced materials for next-generation nanofiltration membranes …
Critical Mineral Separations: Opportunities for Membrane Materials and Processes to Advance Sustainable Economies and Secure Supplies
Sustainable energy solutions and electrification are driving increased demand for critical
minerals. Unfortunately, current mineral processing techniques are resource intensive, use …
minerals. Unfortunately, current mineral processing techniques are resource intensive, use …
Predicting the performance of polyvinylidene fluoride, polyethersulfone and polysulfone filtration membranes using machine learning
T Liu, L Liu, F Cui, F Ding, Q Zhang, Y Li - Journal of Materials …, 2020 - pubs.rsc.org
Micro/ultra/nano-filtration membranes based on polyvinylidene fluoride, polyethersulfone
and polysulfone are advancing steadily in laboratory research and scalable production …
and polysulfone are advancing steadily in laboratory research and scalable production …
Learning and optimization under epistemic uncertainty with Bayesian hybrid models
Abstract Hybrid (ie, grey-box) models are a powerful and flexible paradigm for predictive
science and engineering. Grey-box models use data-driven constructs to incorporate …
science and engineering. Grey-box models use data-driven constructs to incorporate …
Optimal diafiltration membrane cascades enable green recycling of spent lithium-ion batteries
Novel processes are urgently needed to recycle critical materials (eg, cobalt, lithium, nickel,
and manganese) from spent lithium-ion batteries (LIBs). These separations are vital both to …
and manganese) from spent lithium-ion batteries (LIBs). These separations are vital both to …
When physics-informed data analytics outperforms black-box machine learning: A case study in thickness control for additive manufacturing
Aerosol jet printing (AJP) has emerged as a promising noncontact additive manufacturing
method for high-resolution printing for a wide range of material systems. A key challenge …
method for high-resolution printing for a wide range of material systems. A key challenge …
Multiscale Equation-Oriented Optimization Decreases the Carbon Intensity of Shale Gas to Liquid Fuel Processes
K Ghosh, SD Salas, A Garciadiego… - ACS Sustainable …, 2024 - ACS Publications
Shale gas is revolutionizing the US energy and chemical commodity landscape and can
ease the transition to a sustainable decarbonized economy. This work develops an equation …
ease the transition to a sustainable decarbonized economy. This work develops an equation …
Computational toolkits for model-based design and optimization
Highlights•Systematically review 82 model-based design (MBD) toolkits.•Dynamic,
multiscale, and interdisciplinary grand challenges drive software trends.•Organize MBD …
multiscale, and interdisciplinary grand challenges drive software trends.•Organize MBD …