I’m a Ph.D. student in Chemical and Biomolecular Engineering at UC Berkeley. My focus is on exploring the characterization and application of MOFs, with a keen interest in environmental studies. Currently, I’m working on solid-state NMR spectroscopy of MOFs for carbon capture as part of the USorb-DAC project.

I am doing a PhD in the Laboratory of Molecular Simulation at EPFL under the supervision of Berend Smit. In the framework of USorb-DAC project, I am working on synthesis and characterization of metal-organic frameworks as promising sorbent materials for CO₂ capture.      

As part of the USorb-DAC project, my research is aimed at scoping the opportunities for industrial decarbonisation through CCUS in UAE, using Machine Learning techniques. My work addresses the pressing need for optimized capture technologies in the UAE, where per capita CO2 emissions exceed 20 metric tons, prompting the government’s “UAE Net Zero by 2050” initiative. My project involves mapping the existing and potential CO2 sources and sinks, to define tailored decarbonization case studies for UAE. This research, crucial for achieving cost-competitive carbon capture solutions, aligns with global efforts for sustainable industrial practices.  Research interests:   Carbon capture, utilization and storage (CCUS), circular economy, techno-economic assessment, Sustainable Processing, Process Engineering

I am a PhD student in the experimental section of LSMO at EPFL, with a research focus on devising metal-organic frameworks for sorption-based applications. Some of my key interests are homochiral MOF for enatioseparations and bioinspired functional materials. For the USorb-DAC project, I have contributed by advancing the measurement of the specific heat of MOF, thereby validating pertaining computation predictions. I am also working on the synthesis of ligands and MOF, as part of our carbon dioxide sorbent screening effort.

In the part of the Usorb-DAC project, I am leading the molecular characterization and validation of the sorbents at University of California, Berkeley, employing solid-state NMR techniques. Specifically, I aim to uncover guest-sorbent interactions at the molecular level for Direct air capture, from benchmarked to novel materials. By exploring various adsorption conditions such as CO2-H2O co-adsorption, I focus on understanding adsorption mechanism to demonstrate the efficiency of the sorbents for DAC. Research interests:  materials characterization, carbon capture, solid-state NMR, material science

I am a scientist at the Laboratory of Molecular Simulation (LSMO) at EPFL, specializing in the design and study of inorganic molecular materials for environmental applications. My research is centered on developing innovative, cost-effective, and scalable materials for critical processes such as carbon capture, water purification, and photocatalytic hydrogen generation. By exploring the molecular mechanisms that drive material performance, I aim to contribute to sustainable solutions for pressing environmental challenges. Within the USorb-DAC project, my primary focus is on unconventional DAC separation concepts and alternative sorbent regeneration processes.

I am currently working in Laboratory of Molecular Simulation (LSMO), EPFL as a post doctoral researcher. I obtained my PhD at Monash University (Melbourne) under the supervision of Prof. Dr. Tanja Junkers, where I focussed on the digitalization of (polymer) chemistry. In the USorb-DAC project, I will further explore and implement Big Data concepts to enhance data-driven research.

My role in the USorb-DAC project is to conduct and coordinate the experimental work of the Heriot‑Watt University team. This work focuses on the characterisation and evaluation of sorbents for Direct Air Capture (DAC) that have been identified by the modelling team. Alongside this work, I guide research into the development of monolith coating methodology and the implementation of structured sorbent testing. This has involved the development of a novel breakthrough system tailor made for DAC studies of structured and unstructured sorbents. Research interests: Carbon capture; Direct-air capture; Metal-organic frameworks; Amine-functionalised sorbents; Monoliths; Structured sorbents

I obtained my Ph.D. in coordination polymers for gas sorption, catalysis, and optical studies from the Indian Institute of Technology Kanpur (IIT Kanpur), India in 2019. After that, I pursued a postdoctoral position at the National University of Singapore, where I synthesized new metal-organic frameworks for non-linear optical properties. In May 2023, I joined the Porous Materials Institute of Paris (IMAP) as a postdoctoral fellow, where my focus is on designing and synthesizing MOF composites for CO2 direct air capture. In 2018, I was awarded the IUCR Young Scientist Award from the Asian Crystallographic Association at the University of Auckland.

My primary activities in USorb-DAC are in WP1, where I focus on process modelling and economic analysis, source-sink matching, and value chain analysis. My main interest here is in sorbent-based CO2 direct air capture (DAC), trying to discover new potential sorbents, and once synthesised and tested (WP3 and WP4), to develop optimised adsorption processes for these sorbents. 

I am a postdoc in Prof. André Bardow’s group at ETH Zurich. I obtained my Ph.D. from Zhejiang University under the supervision of Prof. Chuanhou Gao and Prof. Nikolaos Sahinidis (at Georgia Tech). During my Ph.D., I designed novel machine-learning methods for small-data problems by leveraging transfer learning, feature selection, and knowledge integration techniques. As a member of the USorb-DAC project, I investigate how to extend the LCA layer of our PrISMa platform to include direct air capture. Moreover, I will refine the estimation of the environmental impacts of material synthesis.

I am a PhD student at the RCCS where I explore how big-data science can be applied to material databases to identify high-performing carbon capture materials. As part of my PhD, I aim to develop multiscale workflows that help us find correlations between the properties of materials and their performance in process.

I am a PhD student at Prof. André Bardow’s group at ETH Zurich, assessing the life-cycle environmental impacts of carbon capture and storage value chains. As a member of the USorb-DAC project, I am studying how to extend the LCA layer of our PrISMa platform with a focus on the transport and storage step. Furthermore, I am exploring how environmental aspects can be incorporated in the materials screening and support the life cycle assessment of the identified promising materials to determine their environmental impact. Research interests:  prospective LCA, predictive LCA for MOFs, CO2 transport, CCS, DAC

My PhD research focuses on direct air capture of amine-functionalised solid adsorbents.  I measure CO2, water, and co-adsorption isotherms experimentally and use the data to inform and optimise adsorption process models.  With water adsorption comes adsorbent swelling, and part of my research investigates how this swelling affects the diffusion of CO2into the adsorbent.  Research interests: Adsorption, process modelling, adsorbent swelling, mathematical modelling

I am a PhD student at the Research Centre for Carbon Solutions (RCCS) in Heriot-Watt University. As a member of the USorb-DAC project, I am focusing on the synthesis of novel sorbent materials for CO2 capture under DAC conditions. I am aiming to develop materials with reduced capture energy intensity and cost. Research interests:  CO2 capture, Photocatalysis, Water splitting, Hydrogen

I am a PhD student at the RCCS.  My research area focuses on the photocatalytic reduction of CO2 to value-added chemicals and fuel over MOFs based photocatalysts. For this research I will investigate the performance of plasmonic-MOFs photocatalysts, I also aim to develop a kinetic model that help us design the reactor using for CO2 reduction reaction.

I am a PhD student in the Laboratory of Molecular Simulation (LSMO) at EPFL, working on the synthesis and characterization of metal-organic frameworks (MOFs) for gas adsorption applications and CO2 reduction. As part of the USorb-DAC project, my main focus is to effectively design, synthesize and characterize sorbent materials which have been found to be promising for wet flue gas CO2 capture.

I am a Professor in the Research Centre for Carbon Solutions at Heriot-Watt University. My research combines skills in civil and chemical engineering, engineering geology, and geochemistry to investigate methods of atmospheric CO2 removal through reaction with rocks and minerals. This includes connecting experimental work from bench-top to pilot scale, with technology and environmental impact assessment. My work in USorb-DAC will explore the combination of mineralisation and direct air capture. Research interests: Carbon dioxide removal; mineralisation; ocean alkalinity enhancement; enhanced weathering https://sites.google.com/view/philrenforth/home

I am a PhD student in LSMO (Laboratory of Molecular Simulation) at EPFL, where my research is focused on carbon capture and nanomaterials. Within the Usorb-DAC project, my main role is to develop renewable methods for regenerating CO2 sorbents. Moreover, I am also involved in synthesizing and characterizing promising sorbent candidates for the capture of CO2 from the atmosphere. Research interests:  Metal-Organic Frameworks (MOF), nanomaterials, CO2 capture, sorbent regeneration.

I am currently pursuing my PhD in Laboratory of Molecular Simulation (LSMO), EPFL. I mainly focus on data driven research in the field of carbon capture. I am also interested in modelling and optimization of different processes. In the USorb-DAC project, I will further incorporate machine leaning concepts to develop data-driven research. Research interest: Machine learning, Carbon capture, modelling and optimization, Environmental engineering

I am a Ph.D. student working in the LSMO at EPFL under the supervision of Berend Smit. My research focuses on finding the hidden chemical patterns in the MOF databases with machine learning. I am particularly passionate about developing robust and trustworthy machine-learning models for gas adsorption and separation. 

I am Yutao Li and a Ph.D student in EPFL. And as part of the USorb-DAC project. I mainly focus on improve the accuracy of force field which will be used to generate adsorption properties for MOFs. An accuracy force field is the basis of screen materials and I refit a new force field for some subsets of MOF. Research interests:  Molecular simulation, Classic force field, Machine learning potential