ORCID Profile
0000-0003-4767-6852
Current Organisation
University of Glasgow
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Publisher: Informa UK Limited
Date: 11-11-2011
Publisher: Informa UK Limited
Date: 04-03-2022
Publisher: American Chemical Society (ACS)
Date: 26-05-2021
DOI: 10.26434/CHEMRXIV.14291644.V2
Abstract: Porosity and surface area analysis play a prominent role in modern materials science, where 123 their determination spans the fields of natural sciences, engineering, geology and medical 124 research. At the heart of this sits the Brunauer-Emmett-Teller (BET) theory,[1] which has been 125 a remarkably successful contribution to the field of materials science. The BET method was 126 developed in the 1930s and is now the most widely used metric for the estimation of surface 127 areas of porous materials.[2] Since the BET method was first developed, there has been an 128 explosion in the field of nanoporous materials with the discovery of synthetic zeolites,[3] 129 nanostructured silicas,[4–6] metal-organic frameworks (MOFs),[7] and others. Despite its 130 widespread use, the manual calculation of BET surface areas causes a significant spread in 131 reported areas, resulting in reproducibility problems in both academia and industry. To probe 132 this, we have brought together 60 labs with strong track records in the study of nanoporous 133 materials. We provided eighteen adsorption isotherms and asked these researchers to 134 calculate the corresponding BET areas, resulting in a wide range of values for each one. We 135 show here that the reproducibility of BET area determination from identical isotherms is a 136 largely ignored issue, raising critical concerns over the reliability of reported BET areas in 137 the literature. To solve this major issue, we have developed a new computational approach 138 to accurately and systematically determine the BET area of nanoporous materials. Our 139 software, called BET Surface Identification (BETSI), expands on the well-known Rouquerol 140 criteria and makes, for the first time, an unambiguous BET area assignment possible.
Publisher: Royal Society of Chemistry (RSC)
Date: 2023
DOI: 10.1039/D3SC00904A
Abstract: Application of pressure induces reactivity of pore-bound methanol with the secondary building unit of the metal–organic framework GUF-1(Sc), substituting coordinated bridging hydroxide ligands for bridging methoxides, in single crystals and in bulk.
Publisher: American Chemical Society (ACS)
Date: 31-03-2021
DOI: 10.26434/CHEMRXIV.14291644.V1
Abstract: Porosity and surface area analysis play a prominent role in modern materials science, where 123 their determination spans the fields of natural sciences, engineering, geology and medical 124 research. At the heart of this sits the Brunauer-Emmett-Teller (BET) theory,[1] which has been 125 a remarkably successful contribution to the field of materials science. The BET method was 126 developed in the 1930s and is now the most widely used metric for the estimation of surface 127 areas of porous materials.[2] Since the BET method was first developed, there has been an 128 explosion in the field of nanoporous materials with the discovery of synthetic zeolites,[3] 129 nanostructured silicas,[4–6] metal-organic frameworks (MOFs),[7] and others. Despite its 130 widespread use, the manual calculation of BET surface areas causes a significant spread in 131 reported areas, resulting in reproducibility problems in both academia and industry. To probe 132 this, we have brought together 60 labs with strong track records in the study of nanoporous 133 materials. We provided eighteen adsorption isotherms and asked these researchers to 134 calculate the corresponding BET areas, resulting in a wide range of values for each one. We 135 show here that the reproducibility of BET area determination from identical isotherms is a 136 largely ignored issue, raising critical concerns over the reliability of reported BET areas in 137 the literature. To solve this major issue, we have developed a new computational approach 138 to accurately and systematically determine the BET area of nanoporous materials. Our 139 software, called BET Surface Identification (BETSI), expands on the well-known Rouquerol 140 criteria and makes, for the first time, an unambiguous BET area assignment possible.
Publisher: Elsevier BV
Date: 11-2003
Publisher: Mary Ann Liebert Inc
Date: 05-2021
Publisher: Royal Society of Chemistry (RSC)
Date: 2017
DOI: 10.1039/C7FD90043K
Publisher: Wiley
Date: 24-01-2023
DOI: 10.1002/WCC.828
Abstract: Global migration and mobility dynamics are expected to shift in the coming decades as a result of climate change. However, the extent to which migration is caused by climate hazards, in contrast or addition to other intervening factors, is a point of debate in literature. In this study, we conducted a systematic literature review to identify and consolidate factors which directly and indirectly influence climate change migration. In our review of the literature, we found a total of 21 economic, environmental, demographic, political, social, and personal intervening decision‐making factors which affect climate migration. Causal interactions between these factors were identified using an axial qualitative coding technique called purposive text analysis. By combining causal links, a semi‐quantitative causal loop diagram was created that represented factor interaction and feedback within the “climate migration system.” Using this model, we highlight influential feedback loops and point to how intervention strategies may cause downstream effects. This research helps to address calls for a better understanding of the complex decision‐making dynamics in climate migration. In particular, results from our causal feedback loops show that intervention strategies targeted toward economic factors such as financial capital and livelihoods, as well as food security, would have the greatest impact in assisting climate‐affected communities. These results help inform climate migration policy and aid planners in the future to better understand the interconnected system of factors that lead to the emergent outcome of climate migration. This article is categorized under: Vulnerability and Adaptation to Climate Change Learning from Cases and Analogies The Social Status of Climate Change Knowledge Climate Science and Decision Making
Publisher: Springer Science and Business Media LLC
Date: 12-2022
DOI: 10.1007/S10584-022-03468-Y
Abstract: As the impacts of climate change increase, the Intergovernmental Panel on Climate Change advises that global migration will also increase. A deeper understanding of the factors and interactions that influence the migration decision-making of climate-affected populations is needed to more accurately predict migration estimates and adequately inform and prepare future receiving cities. In this study, we survey thirty-two experts in the field of climate migration to explore how demographic, economic, environmental, political, and social factors interact to lead to climate (im)mobility and how these interactions change within sea level rise, drought, flooding, and erosion contexts. We use system mapping and network analysis to determine which factors should be targeted as leverage points for policy makers and their resulting effects within each hazard context. Our findings identify physical infrastructure, social services, social capital, and political stability as places to intervene to increase resiliency in drought, flooding, and erosion climate migration systems. Using hazard context and community consultation, we recommend selecting target factors with direct relationships to other highly influential factors (livelihoods, food security, and financial capital) to elicit the most positive cascading effects through the whole system, leading to changes in migration. We also highlight the sea level rise climate migration system as highly complex in comparison to the other contexts examined and the need for multi-factored interventions in this context to create more resilient migration systems. Our findings contribute to the growing body of work which seeks to better understand the interactions between factors influencing climate migration.
Publisher: American Chemical Society (ACS)
Date: 26-05-2021
DOI: 10.26434/CHEMRXIV.14291644
Abstract: Porosity and surface area analysis play a prominent role in modern materials science, where 123 their determination spans the fields of natural sciences, engineering, geology and medical 124 research. At the heart of this sits the Brunauer-Emmett-Teller (BET) theory,[1] which has been 125 a remarkably successful contribution to the field of materials science. The BET method was 126 developed in the 1930s and is now the most widely used metric for the estimation of surface 127 areas of porous materials.[2] Since the BET method was first developed, there has been an 128 explosion in the field of nanoporous materials with the discovery of synthetic zeolites,[3] 129 nanostructured silicas,[4–6] metal-organic frameworks (MOFs),[7] and others. Despite its 130 widespread use, the manual calculation of BET surface areas causes a significant spread in 131 reported areas, resulting in reproducibility problems in both academia and industry. To probe 132 this, we have brought together 60 labs with strong track records in the study of nanoporous 133 materials. We provided eighteen adsorption isotherms and asked these researchers to 134 calculate the corresponding BET areas, resulting in a wide range of values for each one. We 135 show here that the reproducibility of BET area determination from identical isotherms is a 136 largely ignored issue, raising critical concerns over the reliability of reported BET areas in 137 the literature. To solve this major issue, we have developed a new computational approach 138 to accurately and systematically determine the BET area of nanoporous materials. Our 139 software, called BET Surface Identification (BETSI), expands on the well-known Rouquerol 140 criteria and makes, for the first time, an unambiguous BET area assignment possible.
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Ross Forgan.