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Berend Smit

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Related publications (160)

14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon

Philippe Schwaller, Berend Smit, Kevin Maik Jablonka, Sauradeep Majumdar, Xiaoqi Zhang, Andres Camilo Marulanda Bran

Large-language models (LLMs) such as GPT-4 caught the interest of many scientists. Recent studies suggested that these models could be useful in chemistry and materials science. To explore these possibilities, we organized a hackathon. This article chronic ...

Royal Soc Chemistry2023

In Search of Covalent Organic Framework Photocatalysts: A DFT-Based Screening Approach

Berend Smit, Kevin Maik Jablonka, Andres Adolfo Ortega Guerrero, Beatriz Bueno Mouriño

Covalent organic frameworks (COFs) stand out as prospective organic-based photocatalysts given their intriguing optoelectronic properties, such as visible light absorption and high charge-carrier mobility. The "Clean, Uniform, Refined with Automatic Tracki ...

WILEY-V C H VERLAG GMBH2023

Biomass to energy: a machine learning model for optimum gasification pathways

Berend Smit, Kevin Maik Jablonka, Susana Garcia Lopez

Biomass is a highly versatile renewable resource for decarbonizing energy systems. Gasification is a promising conversion technology that can transform biomass into multiple energy carriers to produce heat, electricity, biofuels, or chemicals. At present, ...

Royal Soc Chemistry2023

Metal-organic framework-based oxygen carriers with antioxidant activity resulting from the incorporation of gold nanozymes

Emad Oveisi, Berend Smit

Blood transfusions are a life-saving procedure since they can preserve the body's oxygen levels in patients suffering from acute trauma, undergoing surgery, receiving chemotherapy or affected by severe blood disorders. Due to the central role of hemoglobin ...

ROYAL SOC CHEMISTRY2023

How to Decarbonize Our Energy Systems: Process-Informed Design of New Materials for Carbon Capture

Berend Smit, Susana Garcia Lopez

Decarbonisation from a variety of industrial and power emission sectors highlights a marked need for capture technologies that can be optimized for different CO2 sources and integrated into an equally diverse range of applications of captured CO2 as a feed ...

WILEY-V C H VERLAG GMBH2023

A multi-modal pre-training transformer for universal transfer learning in metal-organic frameworks

Berend Smit, Hyunsoo Park

Metal-organic frameworks (MOFs) are a class of crystalline porous materials that exhibit a vast chemical space owing to their tunable molecular building blocks with diverse topologies. An unlimited number of MOFs can, in principle, be synthesized. Machine ...

NATURE PORTFOLIO2023

Predicting Ion Diffusion from the Shape of Potential Energy Landscapes

Berend Smit, Senja Dominique Barthel, Amber Kashan Mace

We present an efficient method to compute diffusion coefficients of multiparticle systems with strong interactions directly from the geometry and topology of the potential energy field of the migrating particles. The approach is tested on Li-ion diffusion ...

Amer Chemical Soc2023

Tandem Hydroformylation-Aldol Condensation Reaction Enabled by Zn-MOF-74

Berend Smit, Daniele Ongari

The tandem hydroformylation-aldol condensation (tandem HF-AC) reaction offers an efficient synthetic route to the synthesis of industrially relevant products. The addition of Zn-MOF-74 to the cobalt-catalyzed hydroformylation of 1-hexene enables tandem HF- ...

WILEY-V C H VERLAG GMBH2023

Effects of Degrees of Freedom on Calculating Diffusion Properties in Nanoporous Materials br

Berend Smit, Henglu Xu, Raffaela Cabriolu

If one carries out a molecular simulation ofNparticlesusing periodic boundary conditions, linear momentum is conserved,and hence, the number of degrees of freedom is set to 3N-3. Inmost programs, this number of degrees of freedom is the defaultsetting. How ...

AMER CHEMICAL SOC2022

Characterization of Chemisorbed Species and Active Adsorption Sites in Mg-Al Mixed Metal Oxides for High-Temperature CO2 Capture

Berend Smit, Christopher Patrick Ireland, Kevin Maik Jablonka, Susana Garcia Lopez

Mg-Al mixed metal oxides (MMOs), derived from the decomposition of layered double hydroxides (LDHs), have been purposed as adsorbents for CO2 capture of industrial plant emissions. To aid in the design and optimization of these materials for CO2 capture at ...

AMER CHEMICAL SOC2022

Process-informed adsorbent design guidelines for direct air capture

Berend Smit, Susana Garcia Lopez, Fergus Robert Lloyd Mcilwaine

Direct air capture using solid adsorbents is a proven technology critical to reducing our net greenhouse gas emissions to zero and beyond. Currently, academic research into the technology mainly focuses on the devel-opment of new adsorbents. However, there ...

ELSEVIER SCIENCE SA2022

Making the collective knowledge of chemistry open and machine actionable

Luc Patiny, Berend Smit, Kevin Maik Jablonka

Large amounts of data are generated in chemistry labs-nearly all instruments record data in a digital form, yet a considerable proportion is also captured non-digitally and reported in ways non-accessible to both humans and their computational agents. Chem ...

NATURE PORTFOLIO2022

Data-Driven Matching of Experimental Crystal Structures and Gas Adsorption Isotherms of Metal-Organic Frameworks

Berend Smit, Daniele Ongari, Christoph Leopold Talirz, Kevin Maik Jablonka

Porous metal-organic frameworks are a class of materials with great promise in gas separation and gas storage applications. Due to the high dimensional space of materials science and engineering, computational screening techniques have long been an importa ...

AMER CHEMICAL SOC2022

SELFIES and the future of molecular string representations

Philippe Schwaller, Berend Smit, Kevin Maik Jablonka

Artificial intelligence (AI) and machine learning (ML) are expanding in popularity for broad applications to challenging tasks in chemistry and materials science. Examples include the prediction of properties, the discovery of new reaction pathways, or the ...

ELSEVIER2022

Using genetic algorithms to systematically improve the synthesis conditions of Al-PMOF

Fatmah Ebrahim, Seyedmohamad Moosavi, Berend Smit, Christopher Patrick Ireland, Christoph Leopold Talirz, Kevin Maik Jablonka

The synthesis of metal-organic frameworks (MOFs) is often complex and the desired structure is not always obtained. In this work, we report a methodology that uses a joint machine learning and experimental approach to optimize the synthesis conditions of A ...

NATURE PORTFOLIO2022

A data-science approach to predict the heat capacity of nanoporous materials

Seyedmohamad Moosavi, Berend Smit, Mehrdad Asgari, Daniele Ongari, Elias Moubarak, Andres Adolfo Ortega Guerrero, Özge Kadioglu, Balázs Álmos Novotny, Susana Garcia Lopez

The heat capacity of a material is a fundamental property of great practical importance. For example, in a carbon capture process, the heat required to regenerate a solid sorbent is directly related to the heat capacity of the material. However, for most m ...

NATURE PORTFOLIO2022

Making Molecules Vibrate: Interactive Web Environment for the Teaching of Infrared Spectroscopy

Luc Patiny, Berend Smit, Kevin Maik Jablonka

Infrared spectroscopy (IR) is a staple structural elucidation and characterization technique because of its ability to identify functional groups and its ease of use. Interestingly, it allows the capture of electronic effects via their influence on the bon ...

AMER CHEMICAL SOC2022

Reply to "Inconsistencies in the specific nucleobase pairing motif prone to photodimerization in a MOF nanoreactor"

Berend Smit, Dominik Józef Kubicki, David Lyndon Emsley, Samantha Lynn Anderson, Kyriakos Stylianou, Peter George Boyd, Andrzej Gladysiak, Ngoc Tú Nguyên

Nature Portfolio2022

Enhanced Visible-Light-Driven Hydrogen Production through MOF/MOF Heterojunctions

Fatmah Ebrahim, Berend Smit, Kyriakos Stylianou, Christopher Patrick Ireland, Stavroula Kampouri, Pascal Alexander Schouwink, Maria Fumanal Quintana

A strategy for enhancing the photocatalytic performance of MOF- based systems (MOF: metal-organic framework) is developed through the construction of MOF/MOF heterojunctions. The combination of MIL-167 with MIL-125-NH2 leads to the formation of MIL-167/MIL ...

2021

Common workflows for computing material properties using different quantum engines

Sebastiaan Philippe Huber, Nicola Marzari, Gian-Marco Rignanese, Giovanni Pizzi, Aliaksandr Yakutovich, Berend Smit, Martin Uhrin, Conrad Johnston, Austin Jacob Zadoks, Samuel Poncé, Kristjan Eimre, Marnik Bercx, Christopher John Sewell

The prediction of material properties based on density-functional theory has become routinely common, thanks, in part, to the steady increase in the number and robustness of available simulation packages. This plurality of codes and methods is both a boon ...

2021

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