Francisco Martin-Martinez

Scientists join Europe-wide project to make food packaging go green | King's College London Researchers from the Department of Chemistry have combined forces with international partners to transform the food packaging sector.

Drs Francisco Martin-Martinez and Micaela Matta have combined forces with international partners to transform the food packaging sector ⬇️
www.kcl.ac.uk/news/scienti...

Computational Modelling of Nature-Inspired Sustainable Materials | King's College London A seminar on using computational modelling and ML to engineer nature-inspired sustainable materials.

🧪 AI is revolutionising computational chemistry - but what does that look like in practice?

Join @franmartinm.bsky.social (@kingsnmes.bsky.social) on 19 Nov as he shares cutting-edge research on using AI to model nature-inspired sustainable materials.

Sign up ⬇️ www.kcl.ac.uk/events/compu...

Amazing days in #Atlanta at the #SocietyOfEngineeringScience meeting. Nostalgic about the family we had at @mit.edu with Zhao Qin, @jingjieyeo.bsky.social, Anna Tarakanova and Grace Gu… and learning the last insights form our supervisor back then, @profbuehlermit.bsky.social. What a come back to US

Back in Boston for moderating a panel on “Governing the Machine” at the 50th aniversary of the @tppmit.bsky.social with @marzyehghassemi.bsky.social, Cecilia Testart, Nathaniel Fruchter and Prof David D. Clark (one of the pioneers of internet!!). So thought-provoking… #ai #policy @mit.edu

Nice to speak at the European Conference of Theoretical and Computational Chemistry in Naples surrounded by friends. Great opportunity to present our work at @kingscollegelondon.bsky.social @kingsnmes.bsky.social and Swansea University collaborating with @rgblabmit.bsky.social

Man smiling against a blue background with the quote "We use computational chemistry and AI to create sustainable materials inspired by nature."

Dr Martin-Martinez draws inspiration from nature to design sustainable materials, such as self-healing roads. Joining King's as part of a major investment in science, he unites expertise in chemistry, engineering and AI.

www.kcl.ac.uk/meet-dr-fran...

#ScienceAtKings @kingsnmes.bsky.social

Embedded Morgan Fingerprints for more efficient molecular property predictions with machine learning High-dimensional data arrays in molecular representations pose some significant challenges for Machine Learning applications, including overfitting and computational inefficiency during training. This...

ML is accelerating #MaterialsDiscovery but it is energy-intensive. Emilio Nuñez Andrade strikes again this summer with #eMFP, a #MolecularRepresentation that improves performance and supports #sustainable and #scalable #MachineLearning. Pre-print: doi.org/10.26434/che...

It was great to participate on this!

Emerging Trends in Bioinspired Superhydrophobic and Superoleophobic Sustainable Surfaces Biomimicry offers an exceptional opportunity to design materials with advanced properties. This review summarizes the latest findings for developing sustainable superhydrophobic–superoleophobic mater...

Lessons learned from Nature on #Superhydrophobic and #Superoleophobic Surfaces. Shout out to Cerys Cormican and Sinem Bektaş. Glad to work with Shirin Alexander on this, with the support of Concha Bosch and Begoña Ruiz from #AINIA doi.org/10.1002/adma... #sustainability #bioinspired #biomimicry

Embedded machine-readable molecular representation for resource-efficient deep learning applications The practical implementation of deep learning methods for chemistry applications relies on encoding chemical structures into machine-readable formats that can be efficiently processed by computational...

Can we find more efficient ways to encode chemical structures into computer-readable formats? Emilio's work is out in #DigitalDiscovery. With @isvida.bsky.social et al. across @kingsnmes.bsky.social, #SwanseaUniversity, @mitofficial.bsky.social and #UniversityofGranada pubs.rsc.org/en/content/a...

Self-healing potholes pave the way for more sustainable roads Self-healing roads, made from biomass waste and designed using AI, could offer a solution to the country’s £143 million pothole problem.

New self-healing asphalt could heal cracks in the road in less than an hour.

A wheely great research collaboration between @franmartinm.bsky.social, Swansea University and Google Cloud paves the way for more sustainable roads. 🚗
www.kcl.ac.uk/news/self-he...

Glad to work with @googlecloudsec.bsky.social at @kingscollegelondon.bsky.social. In collaboration with Jose Norambuena-Contreras, at #SwanseaUniversity. #ComputationalChemistry #AI #supercomputing #biobased #selfhealing #asphalt #sustainable @kingsnmes.bsky.social

Postdoc In Organic/Medicinal Chemistry for generative AI in Drug Discovery De TU/e is voortdurend op zoek naar wetenschappelijk en niet-wetenschappelijk personeel om haar ambities waar te maken. Kijk hier voor ons actuele vacatureaanbod.

Open #postdoc position in *Organic/Medicinal Chemistry* for generative #AI in Drug Discovery — join us @tueindhoven.bsky.social 💪🏻

Funded by the European Research Council (ERC).
Deadline: Jan 15, 25

jobs.tue.nl/nl/vacature/...

Repost appreciated!

Excited to announce the release of our preprint, "The Martini 3 Lipidome: Expanded and Refined Parameters Improve Lipid Phase Behavior", now available on @chemrxiv.bsky.social

👉 Read the full preprint here: chemrxiv.org/engage/chemr...

Computational modelling of biobased materials from biomass degradation for applications in precision agriculture, resilient infrastructure, or energy storage. at King’s College London on FindAPhD.com PhD Project - Computational modelling of biobased materials from biomass degradation for applications in precision agriculture, resilient infrastructure, or energy storage. at King’s College London, l...

PhD opportunity on Computational modelling of biobased materials from biomass degradation at King’s College London www.findaphd.com/phds/project...

35 challenges in materials science being tackled by PIs under 35(ish) in 2024 Here, we highlight 35 global researchers approximately under the age of 35. This third annual cohort was self-generated by initial seed invitations sent by the editorial team, with each contributor su...

I had the great pleasure of coordinating our annual "35 challenges in materials science". Was super fun to organise and engage with all these brilliant scientists!

Take a look at what this year's cohort of materials scientists are working on!

#Matter

www.cell.com/matter/abstr...

Hello 🦋 world and hello #ChemSky #BlueSci #AISky #MLSky…