--- title: "Philippe Schwaller — author profile and papers in our library" description: "Philippe Schwaller, Formation Continue UNIL-EPFL: 2 papers on Elamur Research (2023–2024), h-index 32 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/philippe-schwaller/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/philippe-schwaller/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Philippe Schwaller # Philippe Schwaller Philippe Schwaller has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Andrew D White](https://md.research.elamur.ai/free/en/authors/andrew-d-white/), [Sam Cox](https://md.research.elamur.ai/free/en/authors/sam-cox/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5028051805) · [ORCID](https://orcid.org/0000-0003-3046-6576) · [Wikidata](https://www.wikidata.org/wiki/Q87708901) · [**h-index 32**](https://openalex.org/authors/A5028051805) · [201 works](https://openalex.org/works?filter=author.id:A5028051805) · [8,590 citations](https://openalex.org/works?filter=author.id:A5028051805&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/philippe-schwaller/#papers) · [🔗 Cited 326 times in our library](https://md.research.elamur.ai/free/en/authors/philippe-schwaller/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3909](https://md.research.elamur.ai/free/en/paper-stars/page/40/#star-3909) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Philippe+Schwaller) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Philippe+Schwaller) · [dblp](https://dblp.org/search?q=Philippe+Schwaller) · [ACL Anthology](https://aclanthology.org/search/?q=Philippe+Schwaller) ## Affiliations [🎓**École Polytechnique Fédérale de Lausanne** Lausanne · Switzerland 2017–2026 · 101 papers*current*](https://md.research.elamur.ai/free/en/universities/ecole-polytechnique-federale-de-lausanne/) · [🔬**NCCR Catalysis** Switzerland 2022–2026 · 61 papers*current*](https://ror.org/03qf6ek79) · [🔬**IBM Research - Zurich** Rüschlikon · Switzerland 2018–2026 · 41 papers*current*](https://md.research.elamur.ai/free/en/labs/ibm-research-zurich/) · [🔬**Centre d'Imagerie BioMedicale** Lausanne · Switzerland 2026 · 4 papers*current*](https://ror.org/03fw2bn12) · [🔬**Institute of Chemical and Engineering Sciences** Singapore · Singapore 2025–2026 · 4 papers*current*](https://ror.org/01cbwn720) · [🔬**NCCR Chemical Biology - Visualisation and Control of Biological Processes Using Chemistry** Geneva · Switzerland 2026 · 2 papers*current*](https://ror.org/033f9yy33) · [🎓**Formation Continue UNIL-EPFL** Écublens · Switzerland 2026 · 1 paper*current*](https://ror.org/016fqsx25) · [🎓**University of Lausanne** Lausanne · Switzerland 2026 · 1 paper*current*](https://ror.org/019whta54) · [🎓**University of Bern** Bern · Switzerland 2019–2021 · 13 papers](https://md.research.elamur.ai/free/en/universities/university-of-bern/) · [🎓**University of Cambridge** Cambridge · United Kingdom 2018–2021 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Materials Science · 2 works](https://md.research.elamur.ai/free/en/shelves/materials-science/) · [Computational Theory and Mathematics · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Materials Chemistry · 2 works](https://md.research.elamur.ai/free/en/shelves/materials-science/materials-chemistry/) · [Chemistry · 1 work](https://md.research.elamur.ai/free/en/shelves/chemistry/) · [Physical and Theoretical Chemistry · 1 work](https://md.research.elamur.ai/free/en/shelves/chemistry/physical-and-theoretical-chemistry/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/philippe-schwaller/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/philippe-schwaller/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Leveraging large language models for predictive chemistry](https://md.research.elamur.ai/free/en/papers/jablonka-2024-leveraging-large-language-models-predictive/)** *(2024 · 392 citations)* Chemistry datasets are usually small, so researchers tend to build bespoke machine learning models with hand-crafted chemical descriptors. 2. **[ChemCrow: Augmenting large-language models with chemistry tools](https://md.research.elamur.ai/free/en/papers/bran-2023-chemcrow-augmenting-large-language/)** *(2023 · 211 citations)* General-purpose LLMs such as GPT-4 often fail at chemistry. They cannot reliably convert IUPAC names into structures, and they have no access to specialised software or databases. Meanwhile, many strong computational chemistry tools exist, but non-programmers find them hard to combine. ChemCrow addresses both… ## All works 3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Leveraging large language models for predictive chemistry](https://md.research.elamur.ai/free/en/papers/jablonka-2024-leveraging-large-language-models-predictive/) [Nature Machine Intelligence](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/)**Kevin Maik Jablonka, Philippe Schwaller, Andres Ortega‐Guerrero, et al.*2024 · 392 citations* 2. [**ChemCrow: Augmenting large-language models with chemistry tools arXiv:2304.05376**Andres M Bran, Sam Cox, Oliver Schilter, et al.*2023 · 211 citations*](https://md.research.elamur.ai/free/en/papers/bran-2023-chemcrow-augmenting-large-language/) 3. **[Targeting protein–ligand neosurfaces with a generalizable deep learning tool ↗](https://doi.org/10.1038/s41586-024-08435-4) Nature · no summary yet**Anthony Marchand et al.*2025 · 81 citations* ## Co-authors here 2 co-authors with a page, the most papers together first. - [Andrew D White](https://md.research.elamur.ai/free/en/authors/andrew-d-white/) - [Sam Cox](https://md.research.elamur.ai/free/en/authors/sam-cox/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Nature](https://md.research.elamur.ai/free/en/venues/nature/) ×2 - [Nature Machine Intelligence](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/): [Nature Machine Intelligence 2024](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/2024/) ## Cited by Papers of our library cite their works 326 times (of the 149,439 papers whose bibliographies we read); [136 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/philippe-schwaller/cited-by/). Updated 3 November 2026